Rachel Williams

3.4k citations
47 papers · 2.6k indexed · h-index 22
Topics
Pancreatic function and diabetes (7 papers)Diabetes and associated disorders (6 papers)Diabetes Management and Research (4 papers)

In The Last Decade

Rachel Williams

45 papers receiving 2.4k citations

Peers

Rachel Williams
Comparison fields: 5 of 136
  • Experimental and Cognitive Psychology 1.2k
  • Cognitive Neuroscience 884
  • Clinical Psychology 628
  • Genetics 386
  • Surgery 380
Replace Éric Laurent with:
Éric Laurent France
Marcin Wojnar Poland
Andreana P. Haley United States
Kristine Erickson United States
Elizabeth Prom‐Wormley United States
S H Dinwiddie United States
Ranan Rimón Finland
Rosalind J. Neuman United States
Robert N. McLay United States
Frederick R. Snyder United States
Rachel Williams relative to Éric Laurent France Éric Laurent's profile →
Citations per field
00.5×6.6×
Éric Laurent · 1×
Citations per year

Countries citing papers authored by Rachel Williams

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Williams. A scholar is included among the top collaborators of Rachel 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 Williams. Rachel 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 2
2 38
3 32
4 33
5 7
6 18
7
Wilson's disease: diagnosis and current treatment options
1
8 38
9 25
10 16
11
Invisible, underserved, and diverse: the health of women in prison
2
12 1
13 420
14 234
15 73
16 54
17 231
18 19
19
Streptozotocin-induced pancreatic insulitis in mice. Morphologic and physiologic studies.
100
20 3

About Rachel Williams

Rachel Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Experimental and Cognitive Psychology and Hematology, having authored 47 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (7 papers), Diabetes and associated disorders (6 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (1.2k citations), Cognitive Neuroscience (884 citations) and Behavioral Neuroscience (152 citations). Rachel Williams has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Brendan P. Bradley, Karin Mogg, Andrew Mathews, David M. Clark, Maryanne Martin, Aldo A. Rossini, A. A. Like, Michael Appel, A A Rossini and Steven B. Koevary. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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