Julia A. Files

1.8k citations
62 papers · 1.3k · h-index 19

Impact in

Papers in

Julia A. Files

61 papers receiving 1.3k citations

Peers

Julia A. Files
Comparison fields: 5 of 111
  • Gender Studies 459
  • Public Health, Environmental and Occupational Health 386
  • Social Psychology 237
  • Microbiology 8
  • Emergency Medical Services 43
Replace Marcia G. Ko with:
Marcia G. Ko United States
Crista E. Johnson‐Agbakwu United States
Carmita Helena Najjar Abdo Brazil
Carl G. Streed United States
Wing Cheong Leung China
Ineke Klinge Netherlands
Neisha Opper United States
Amy H. Farkas United States
Muntaha Gharaibeh Jordan
Éric Dubé Canada
Julia A. Files relative to Marcia G. Ko United States Marcia G. Ko's profile →
Citations per field
00.5×1.5×1.8×
Marcia G. Ko · 1×
Citations per year

Countries citing papers authored by Julia A. Files

Since Specialization
Citations

This map shows the geographic impact of Julia A. Files's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Julia A. Files with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia A. Files more than expected).

Fields of papers citing papers by Julia A. Files

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julia A. Files. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Julia A. Files. The network helps show where Julia A. Files may publish in the future.

Co-authors

The 25 scholars most cited alongside Julia A. Files, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Julia A. Files Line = papers co-authored together Julia A. Files links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017189
2 2006118
3 2008117
4 201299
5 201391
6 200867
7 201353
8 200849
9 201149
10 202137
11 200733
12 201131
13 200528
14 201028
15 200827
16 201824
17 201222
18 202121
19 201420
20 201918

About Julia A. Files

Julia A. Files is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Genetics, Gender Studies and Epidemiology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (11 papers), Estrogen and related hormone effects (8 papers), Diversity and Career in Medicine (8 papers), Mentoring and Academic Development (7 papers), Reproductive Health and Contraception (6 papers), Migraine and Headache Studies (4 papers), Breast Cancer Treatment Studies (4 papers) and Assisted Reproductive Technology and Twin Pregnancy (4 papers). The work is most often cited by research in Gender Studies (459 citations), Public Health, Environmental and Occupational Health (386 citations), Social Psychology (237 citations), Microbiology (8 citations) and Emergency Medical Services (43 citations). Julia A. Files has collaborated with scholars based in United States, Egypt and Russia. Frequent co-authors include Anita P. Mayer, Marcia G. Ko, Janis E. Blair, Keith A. Frey, Sharonne N. Hayes, Sandhya Pruthi, Yu‐Hui Chang, Suneela Vegunta, Juliana M. Kling and Patricia Friedrich. Their work appears in journals such as Journal of Women s Health, Mayo Clinic Proceedings, Academic Medicine, Menopause The Journal of The North American Menopause Society and Journal of Midwifery & Women s Health.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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