Rachel M. Williams

2.5k citations
53 papers · 1.8k indexed · h-index 21
Topics
Pancreatic function and diabetes (16 papers)Diabetes and associated disorders (12 papers)Growth Hormone and Insulin-like Growth Factors (12 papers)
Journals
ScienceSHILAP Revista de lepidopterologíaDevelopment

In The Last Decade

Rachel M. Williams

50 papers receiving 1.8k citations

Peers

Rachel M. Williams
Comparison fields: 5 of 110
  • Molecular Biology 988
  • Endocrinology, Diabetes and Metabolism 511
  • Genetics 437
  • Surgery 356
  • Physiology 243
Replace D. Evain‐Brion with:
D. Evain‐Brion France
Zeenat A. Shyr United States
Juanita A. Archer United States
P G Quinn United States
Jean Guibourdenche France
Alison K. Death Australia
Carol M. Wilson United States
Roberto Vargas United States
M.H.F. Sullivan United Kingdom
Salvatore Longobardi Italy
Rachel M. Williams relative to D. Evain‐Brion France D. Evain‐Brion's profile →
Citations per field
00.5×1.5×2.4×
D. Evain‐Brion · 1×
Citations per year

Countries citing papers authored by Rachel M. Williams

Since Specialization
Citations

This map shows the geographic impact of Rachel M. 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 M. 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 M. Williams more than expected).

Fields of papers citing papers by Rachel M. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel M. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel M. Williams. A scholar is included among the top collaborators of Rachel M. Williams based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rachel M. Williams. Rachel M. Williams is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 63
6 2
7 2
8 44
9 25
10 38
11 18
12 50
13 36
14 69
15 50
16 24
17 16
18 29
19 20
20 13

About Rachel M. Williams

Rachel M. Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine and Genetics, having authored 53 papers that have together received 1.8k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Diabetes and associated disorders (12 papers) and Growth Hormone and Insulin-like Growth Factors (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (511 citations), Reproductive Medicine (233 citations) and Genetics (437 citations). Rachel M. Williams has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David B. Dunger, Carlo L. Acerini, Roy Jones, A. Margot Umpleby, Peter R. Murgatroyd, Ken K. Ong, Robert K. Semple, Stephen O’Rahilly, Kevin C.J. Yuen and Christian Wolfrum. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and Development.

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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