Phillip E. Williams

4.1k citations
111 papers · 3.5k · h-index 38

Impact in

Papers in

    • Diet and metabolism studies 36
    • Adipose Tissue and Metabolism 10
    • Pancreatic function and diabetes 42

Phillip E. Williams

109 papers receiving 3.2k citations

Peers

Phillip E. Williams
Comparison fields: 5 of 111
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Endocrine and Autonomic Systems 389
  • Physiology 1.3k
  • Clinical Biochemistry 205
  • Cell Biology 480
Replace R. S. Sherwin with:
R. S. Sherwin United States
Doss W. Neal United States
N. Altszuler United States
R. A. Rizza United States
Carla Roberta de Oliveira Carvalho Brazil
O. Schmitz Denmark
M. Vranić Canada
Douglas L. Coleman United States
J. P. Felber Switzerland
S. Efendić Sweden
Phillip E. Williams relative to R. S. Sherwin United States R. S. Sherwin's profile →
Citations per field
00.5×1.5×
R. S. Sherwin · 1×
Citations per year

Countries citing papers authored by Phillip E. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Phillip E. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Phillip 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 Phillip E. Williams Line = papers co-authored together Phillip 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 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989160
2 2015149
3 2000132
4 1978120
5 1978109
6 201799
7 197289
8 198284
9 198775
10 200973
11 198873
12 198465
13 198965
14 199265
15 197960
16 198659
17 198957
18 199456
19 198456
20 199156

About Phillip E. Williams

Phillip E. Williams is a scholar working on Physiology, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Cell Biology, having authored 111 papers that have together received 3.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (42 papers), Diet and metabolism studies (36 papers), Metabolism, Diabetes, and Cancer (21 papers), Diabetes Management and Research (20 papers), Muscle metabolism and nutrition (19 papers), Diabetes Treatment and Management (18 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (11 papers) and Adipose Tissue and Metabolism (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Endocrine and Autonomic Systems (389 citations), Physiology (1.3k citations), Clinical Biochemistry (205 citations) and Cell Biology (480 citations). Phillip E. Williams has collaborated with scholars based in United States, Russia and Sweden. Frequent co-authors include Alan D. Cherrington, D. Borden Lacy, Naji N. Abumrad, W. W. Lacy, David H. Wasserman, Kareem Jabbour, Ralph W. Stevenson, R. Tyler Frizzell, Doss W. Neal and Gerald I. Shulman. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Diabetes, Metabolism, Journal of Clinical Investigation and Journal of Surgical Research.

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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