David D. Williams

425 citations
24 papers · 298 indexed · h-index 9
Topics
Diabetes Management and Research (12 papers)Diabetes and associated disorders (6 papers)Pancreatic function and diabetes (5 papers)
Partner nations
United StatesSwedenItaly

In The Last Decade

David D. Williams

21 papers receiving 282 citations

Peers

David D. Williams
Comparison fields: 5 of 64
  • Molecular Biology 145
  • Ecology 118
  • Genetics 82
  • Endocrinology, Diabetes and Metabolism 57
  • Biomedical Engineering 43
Replace Isoken Olomu with:
Isoken Olomu United States
Maria Helena Lourenço Portugal
Amy Lee United States
James Day United Kingdom
Xiaobing Shen China
Simon Blouin Canada
R. W. B. Ellis United Kingdom
Trever Burgon United States
Darwin A. León‐Figueroa Peru
Ryoko Otsuka Japan
David D. Williams relative to Isoken Olomu United States Isoken Olomu's profile →
Citations per field
00.5×7.4×
Isoken Olomu · 1×
Citations per year

Countries citing papers authored by David D. Williams

Since Specialization
Citations

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

Fields of papers citing papers by David D. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David D. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of David D. Williams. A scholar is included among the top collaborators of David D. 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 David D. Williams. David D. 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 1
3 6
4 0
5 8
6 7
7 1
8 3
9 2
10 6
11 4
12 12
13 12
14 20
15 20
16 61
17 2
18 13
19 3
20 2

About David D. Williams

David D. Williams is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Health Information Management, having authored 24 papers that have together received 298 indexed citations. Recurring topics across this work include Diabetes Management and Research (12 papers), Diabetes and associated disorders (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Ecology (118 citations), Endocrinology, Diabetes and Metabolism (57 citations) and Genetics (82 citations). David D. Williams has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Charles L. Turnbough, Jennifer R. Brigati, I‐Hsuan Chen, Iryna Sorokulova, Valery A. Petrenko, Viswaprakash Nanduri, Mark A. Clements, Susana R. Patton, Stephen A. DeLurgio and J. Owen Hendley. Their work appears in journals such as Applied and Environmental Microbiology, Diabetes and Journal of Bacteriology.

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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