Gene C. Webb

1.5k citations
21 papers · 1.2k · h-index 15

Impact in

Papers in

    • Pancreatic function and diabetes 11
    • Metabolism, Diabetes, and Cancer 4
    • Fungal and yeast genetics research 2

Gene C. Webb

21 papers receiving 1.2k citations

Peers

Gene C. Webb
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 340
  • Cell Biology 325
  • Endocrine and Autonomic Systems 91
  • Surgery 559
  • Molecular Biology 642
Replace Shinya Ohagi with:
Shinya Ohagi Japan
Jean-Claude Irminger Switzerland
J LaMendola United States
Jacques Jami France
Regina Kuliawat United States
Anne Oberson Switzerland
Jacques Abello France
Christine Powers United States
Atsutaka Kubosaki Japan
Claude Tougard France
Gene C. Webb relative to Shinya Ohagi Japan Shinya Ohagi's profile →
Citations per field
00.5×1.5×
Shinya Ohagi · 1×
Citations per year

Countries citing papers authored by Gene C. Webb

Since Specialization
Citations

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

Fields of papers citing papers by Gene C. Webb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999382
2 2000154
3 2001123
4 2003116
5 200271
6 200762
7 199750
8 200347
9 200144
10 199743
11 200426
12 200326
13 199725
14 200819
15 200517
16 201014
17 200310
18 19614
19 20074
20
Dynamic Regulation of Canonical TGF beta-Signalling by the Endothelial Transcription Factor ERG Protects from Liver Fibrogenesis
20173

About Gene C. Webb

Gene C. Webb is a scholar working on Surgery, Molecular Biology, Cell Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (11 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes and associated disorders (4 papers), Cellular transport and secretion (4 papers), Diabetes Treatment and Management (3 papers), Fungal and yeast genetics research (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (340 citations), Cell Biology (325 citations), Endocrine and Autonomic Systems (91 citations), Surgery (559 citations) and Molecular Biology (642 citations). Gene C. Webb has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Donald F. Steiner, An Zhou, Xiaorong Zhu, Elizabeth W. Jones, Machi Furuta, Mariella Ravazzola, Raymond J. Carroll, Lelio Orci, Mark Hiller and Philippe A. Halban. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, Proceedings of the National Academy of Sciences and Molecular Biology of the Cell.

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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