Rachel E. Williams

1.8k citations
28 papers · 1.3k · h-index 16

Impact in

Papers in

Rachel E. Williams

27 papers receiving 1.3k citations

Peers

Rachel E. Williams
Comparison fields: 5 of 125
  • Endocrinology, Diabetes and Metabolism 367
  • Health, Toxicology and Mutagenesis 320
  • Reproductive Medicine 139
  • Speech and Hearing 45
  • Environmental Engineering 95
Replace E. Randy Eichner with:
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Andrew K. Wills United Kingdom
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Rachel E. Williams relative to E. Randy Eichner United States E. Randy Eichner's profile →
Citations per field
00.5×7.9×
E. Randy Eichner · 1×
Citations per year

Countries citing papers authored by Rachel E. Williams

Since Specialization
Citations

This map shows the geographic impact of Rachel E. Williams'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 Rachel E. Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rachel E. Williams more than expected).

Fields of papers citing papers by Rachel E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel E. Williams. 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 Rachel E. Williams. The network helps show where Rachel E. Williams may publish in the future.

Co-authors

The 25 scholars most cited alongside Rachel E. Williams, 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 Rachel E. Williams Line = papers co-authored together Rachel E. Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999363
2 2009276
3 200984
4 201064
5 200861
6 201859
7 200858
8 200458
9 200444
10 200643
11 200538
12 202026
13 202425
14 200824
15 201016
16 201016
17 202012
18 199511
19 202110
20 202010

About Rachel E. Williams

Rachel E. Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Rheumatology, Cardiology and Cardiovascular Medicine, Health and Epidemiology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (4 papers), Hormonal and reproductive studies (3 papers), Endometriosis Research and Treatment (2 papers), Cardiovascular Effects of Exercise (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Menopause: Health Impacts and Treatments (2 papers), Nutrition and Health in Aging (2 papers) and Cardiovascular and exercise physiology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (367 citations), Health, Toxicology and Mutagenesis (320 citations), Reproductive Medicine (139 citations), Speech and Hearing (45 citations) and Environmental Engineering (95 citations). Rachel E. Williams has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Richard V. Clark, Ruth A. Zweidinger, John P. Creason, Randall R Watts, Carl M. Shy, Dan Liao, Jacqueline Lewis, Linda Kalilani, Andre B. Araujo and John B. McKinlay. Their work appears in journals such as Obstetrics and Gynecology, Journal of the American Geriatrics Society, American Journal of Obstetrics and Gynecology, The Aging Male and Medicine & Science in Sports & Exercise.

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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