Gene C. Webb
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Endoplasmic Reticulum Stress and Disease 5
- Cellular transport and secretion 4
- Surgery 11
- Pancreatic function and diabetes 11
- Co-authors
- Donald F. SteinerAn ZhouXiaorong ZhuElizabeth W. JonesMachi FurutaRaymond J. CarrollMariella RavazzolaLelio Orci
- Journals
- Journal of Biological Chemistry (3 papers)Diabetes (3 papers)Endocrinology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Molecular Therapy (1 paper)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Gene C. Webb
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Endocrinology, Diabetes and Metabolism 340
- Cell Biology 325
- Endocrine and Autonomic Systems 91
- Surgery 559
- Molecular Biology 642
Countries citing papers authored by Gene C. Webb
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Dynamic Regulation of Canonical TGF beta-Signalling by the Endothelial Transcription Factor ERG Protects from Liver Fibrogenesis | 2017 | 3 |
| 2 | 2010 | 14 | |
| 3 | 2008 | 19 | |
| 4 | 2007 | 4 | |
| 5 | 2007 | 62 | |
| 6 | 2005 | 17 | |
| 7 | 2004 | 26 | |
| 8 | 2003 | 10 | |
| 9 | 2003 | 47 | |
| 10 | 2003 | 26 | |
| 11 | 2002 | 71 | |
| 12 | 2001 | 123 | |
| 13 | 2001 | 44 | |
| 14 | 2000 | 154 | |
| 15 | 1999 | 382 | |
| 16 | 1997 | 50 | |
| 17 | 1997 | 25 | |
| 18 | 1997 | 43 | |
| 19 | Pep7p is required for protein targeting to the yeast vacuole | 1992 | 1 |
| 20 | 1961 | 4 |
About Gene C. Webb
Gene C. Webb is a scholar working on Cell Biology, Surgery, Endocrinology, Diabetes and Metabolism, Genetics and Endocrine and Autonomic Systems, 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), Cellular transport and secretion (4 papers), Diabetes and associated disorders (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Treatment and Management (3 papers), Fungal and yeast genetics research (2 papers) and Cancer Mechanisms and Therapy (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, Raymond J. Carroll, Mariella Ravazzola, Lelio Orci, Mark Hiller and Katharina Rickenbach. Their work appears in journals such as Journal of Biological Chemistry, Diabetes, Endocrinology, Proceedings of the National Academy of Sciences and Molecular Therapy.
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.