Gordon C. Weir

36.9k citations
313 papers · 26.2k indexed · 8 hit papers · h-index 88
Topics
Pancreatic function and diabetes (279 papers)Diabetes and associated disorders (144 papers)Diabetes Management and Research (117 papers)

In The Last Decade

Gordon C. Weir

312 papers receiving 25.4k citations

Hit Papers

Induced Pluripotent Stem Cells Ge...1980202619952010200820042000198719942505007501000

Peers

Gordon C. Weir
Comparison fields: 5 of 160
  • Surgery 18.5k
  • Endocrinology, Diabetes and Metabolism 11.0k
  • Molecular Biology 9.8k
  • Genetics 9.5k
  • Physiology 3.0k
Replace Daniël Pipeleers with:
Daniël Pipeleers Belgium
Susan Bonner‐Weir United States
Piero Marchetti Italy
Domenico Accili United States
Philippe A. Halban Switzerland
Timothy J. Kieffer Canada
C. Ronald Kahn United States
Edward H. Leiter United States
Michael L. McDaniel United States
Domenico Bosco Switzerland
Gordon C. Weir relative to Daniël Pipeleers Belgium Daniël Pipeleers's profile →
Citations per field
00.5×1.5×1.8×
Daniël Pipeleers · 1×
Citations per year

Countries citing papers authored by Gordon C. Weir

Since Specialization
Citations

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

Fields of papers citing papers by Gordon C. Weir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gordon C. Weir. 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 Gordon C. Weir. The network helps show where Gordon C. Weir may publish in the future.

Co-authorship network of co-authors of Gordon C. Weir

This figure shows the co-authorship network connecting the top 25 collaborators of Gordon C. Weir. A scholar is included among the top collaborators of Gordon C. Weir 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 Gordon C. Weir. Gordon C. Weir 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 12
2 51
3 7
4 50
5
Core-Shell Hydrogel Microcapsules for Improved Islets Encapsulation
1
6 239
7 40
8 3
9 78
10 55
11 17
12
Induced Pluripotent Stem Cells Generated Without Viral Integrationbreakdown →
1176
13 8
14 87
15 65
16 123
17 64
18 33
19 152
20 9

About Gordon C. Weir

Gordon C. Weir is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics, having authored 313 papers that have together received 26.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (279 papers), Diabetes and associated disorders (144 papers) and Diabetes Management and Research (117 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (11.0k citations), Surgery (18.5k citations) and Genetics (9.5k citations). Gordon C. Weir has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Susan Bonner‐Weir, Arun Sharma, J.L. Leahy, Joel F. Habener, Svetlana Mojsov, Hideaki Kaneto, D. Ross Laybutt, Masaki Nagaya, David Trent and Konrad Hochedlinger. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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