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Frontiers in Medicine

Frontiers in Medicine is a peer-reviewed open access journal that publishes Research Topics spanning a broad range of medical specialties, from dermatology to translational medicine, with a focus on advances in medicinal science, clinical trials, healthcare innovations, patient care, and medical education.

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Impact Factor 3
Quartile Q1
Open Access Type Open
eISSN 2296-858X
Invitation Only No
Cost Range Article processing charges apply for accepted papers under a gold open access model.

Submission Instructions

Frontiers in Medicine accepts the following article types. Click on an article type to view submission instructions.

Original Research Articles

Cover Letter Cover Letter requirements are not specified.
Abstract Abstract must be structured in a single paragraph, for example according to IMRAD format.
Manuscript Manuscript should be organized into Introduction, Materials and methods, Results, and Discussion, or field-appropriate equivalent sections, and the Introduction should be succinct with no subheadings. Manuscript must include 5 to 8 keywords, a 200-word scope statement, and any use of generative AI-produced or AI-edited written or visual content must be acknowledged in the acknowledgements section and in the methods section if applicable, including the tool name, version, model, and source.
References References must include only works that are published or accepted, list the first six authors followed by et al. with authors’ given names abbreviated to initials, include DOI when available, use 'in press' for accepted unpublished works, and ensure every in-text citation appears in the reference list and vice versa.
Figures & Tables Figures must be submitted individually with captions placed at the end of the manuscript, while tables should be inserted at the end of the manuscript in editable format. Each figure and table must be cited in numerical order in the text, figure panels should be labeled with capital letters, figure captions should use labels such as 'Figure 1,' and table captions should appear immediately before the table with labels such as 'Table 1.'
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Clinical Trial Articles

Cover Letter Cover Letter requirements are not specified.
Abstract Abstract must be structured in a single paragraph. Abstract must include the trial's unique identifier and the URL of the publicly accessible trial registry website.
Manuscript Manuscript must include 5 to 8 keywords and acknowledge any use of generative AI in the acknowledgements section and in the methods section if applicable, including the name, version, model, and source.
References References must list the first six authors followed by et al., abbreviate given names to initials, include the DOI when available, and ensure all in-text citations appear in the reference list and vice versa.
Figures & Tables Figures must be submitted individually with captions placed at the end of the manuscript, and tables must be inserted at the end of the manuscript in editable format. Each figure and table must be cited in numerical order in the text, figure panels must use labels such as (A), (B), and figure captions must begin with the appropriate label.
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Recent Publications

Global research trends in the epidemiology of allergic disorders: a bibliometric and evidence-mapping review

Tina Alhassan, Farida Almarzooqi

10.3389/fmed.2026.1874328
View Publication

PBMC-derived FGF, PDGF, VEGF and GM-CSF secretion in endometriosis: a case–control in vitro study

Marcin Sadlocha, Aleksandra Krzywon, Jakub Marcin Staniczek, Jakub Toczek, Zenon Czuba, Rafal Stojko

10.3389/fmed.2026.1821695
View Publication

The application of the radiomic-clinical model based on SHAP-XGBoost method for differentiating pulmonary tuberculosis from Streptococcus pneumoniae pneumonia in children

Min Lei, Chunjiao Han, Yulian Fang, Zhiheng Xing, Chunquan Cai

10.3389/fmed.2026.1838680
View Publication

A retrospective analysis of coagulation function indicators in acute fatty liver of pregnancy

Panpan Zhai, Jing Hu, Xueting Ou, Liyang Zhou, Xingfei Pan

10.3389/fmed.2026.1840565
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Construction and validation of a machine learning-based prediction model for venous thromboembolism in lung transplant recipients supported by ECMO

Yan Zhu, Fei Zeng, Mei-Juan Lan, Jiang-Shu-Yuan Liang, Ling-Yun Cai, Pei-Pei Gu, Lu-Yao Guo

10.3389/fmed.2026.1808657
View Publication

Frequently asked questions

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Research Topics

COVID-19 Clinical Research Studies Sepsis Diagnosis and Treatment Liver Disease Diagnosis and Treatment Respiratory Support and Mechanisms Glaucoma and retinal disorders Long-Term Effects of COVID-19 SARS-CoV-2 and COVID-19 Research Retinal Diseases and Treatments Intensive Care Unit Cognitive Disorders Corneal surgery and disorders Chronic Obstructive Pulmonary Disease (COPD) Research Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis Radiomics and Machine Learning in Medical Imaging Nutrition and Health in Aging Rheumatoid Arthritis Research and Therapies Retinal Imaging and Analysis Innovations in Medical Education Liver Disease and Transplantation Ophthalmology and Visual Impairment Studies Cardiac, Anesthesia and Surgical Outcomes Health Systems, Economic Evaluations, Quality of Life Ocular Surface and Contact Lens Dermatology and Skin Diseases Frailty in Older Adults Renal Diseases and Glomerulopathies