Phillip Williams

579 total citations
26 papers, 446 citations indexed

About

Phillip Williams is a scholar working on Physiology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Phillip Williams has authored 26 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 7 papers in Surgery and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Phillip Williams's work include Diet and metabolism studies (8 papers), Pancreatic function and diabetes (5 papers) and Diabetes Management and Research (4 papers). Phillip Williams is often cited by papers focused on Diet and metabolism studies (8 papers), Pancreatic function and diabetes (5 papers) and Diabetes Management and Research (4 papers). Phillip Williams collaborates with scholars based in United States, Canada and United Kingdom. Phillip Williams's co-authors include Alan D. Cherrington, Naji N. Abumrad, Doss W. Neal, Stephen N. Davis, Qiqian Gao, Xiaorong Gao, Wei Yan, Deng Ping Yin, Eugênio Cersósimo and Robert L. Dobbins and has published in prestigious journals such as Circulation, Journal of Clinical Investigation and Diabetes.

In The Last Decade

Phillip Williams

26 papers receiving 443 citations

Peers

Phillip Williams
Comparison fields: 5 of 77
  • Surgery 146
  • Physiology 134
  • Endocrinology, Diabetes and Metabolism 119
  • Molecular Biology 72
  • Cell Biology 63
E. M. Guntsche United States
Kyung Hoon Paik South Korea
T. Tatarczyk Austria
R. T. Fukui Brazil
LA Velloso Brazil
Maria Grazia Farina Italy
Ceylan Ayada Türkiye
Hiroshi Itoh Japan
Kota Matsuki Japan
M. Persson United States
E. M. Guntsche United States View profile →
Citations per field, relative to Phillip Williams
Phillip Williams · 1×
Citations per year, relative to Phillip Williams
Phillip Williams · 1×

Countries citing papers authored by Phillip Williams

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Williams. A scholar is included among the top collaborators of Phillip 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 Phillip Williams. Phillip 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
# Work Indexed citations
1 3
2 1
3 5
4 5
5 19
6 33
7
Hepatic glucose uptake and disposition during short-term high-fat vs. high-fructose feeding
6
8 11
9
Abstract 15531: Neuregulin-1{beta} Improves Cardiac Remodeling After MI in Swine
2
10 53
11 14
12 11
13 8
14 25
15 25
16 53
17 18
18 12
19 31
20 53

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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