Gordon C. Weir

36.9k citations
313 papers · 26.2k indexed · 8 hit papers · h-index 88

Gordon C. Weir

312 papers receiving 25.4k citations

Hit Papers

Acceleratio...32019802026199520102505007501000

Peers

Gordon C. Weir
Comparison fields: 5 of 160
  • Endocrinology, Diabetes and Metabolism 11.0k
  • Surgery 18.5k
  • Genetics 9.5k
  • Molecular Biology 9.8k
  • 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

The 25 scholars most cited alongside Gordon C. Weir, 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 Gordon C. Weir Line = papers co-authored together Gordon C. Weir links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202312
2 202051
3 20167
4 201650
5
Core-Shell Hydrogel Microcapsules for Improved Islets Encapsulation
20131
6 2013239
7 201340
8 20123
9 201078
10 201055
11 200917
12
Induced Pluripotent Stem Cells Generated Without Viral Integrationbreakdown →
20081176
13 20088
14 200787
15 200465
16 2003123
17 200164
18 199733
19 1995152
20 19939

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), Diabetes Management and Research (117 papers), Metabolism, Diabetes, and Cancer (59 papers), Diabetes Treatment and Management (39 papers), Cannabis and Cannabinoid Research (27 papers), Neuroendocrine Tumor Research Advances (22 papers) and Genetics and Neurodevelopmental Disorders (18 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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