Jeffrey E. Kudlow
Impact in
- Molecular Biology top 1%
- Glycosylation and Glycoproteins Research
- Ubiquitin and proteasome pathways
- TGF-β signaling in diseases
- Immunology top 1%
- Galectins and Cancer Biology
Papers in
-
- Glycosylation and Glycoproteins Research 40
- Ubiquitin and proteasome pathways 17
- TGF-β signaling in diseases 15
-
- Growth Hormone and Insulin-like Growth Factors 20
- Co-authors
- Andrew J. Paterson (44 shared papers)Xiaoyong Yang (10 shared papers)Fengxue Zhang (9 shared papers)Inn‐Oc Han (6 shared papers)Kaihong Su (9 shared papers)Mark D. Roos (9 shared papers)Michael S. Kobrin (11 shared papers)Jeffrey D. Bjorge (5 shared papers)
- Journals
- Journal of Biological Chemistry (15 papers)Endocrinology (9 papers)Molecular Endocrinology (8 papers)Biochemical Journal (8 papers)Molecular and Cellular Biology (8 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Jeffrey E. Kudlow
97 papers receiving 7.3k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 5.6k
- Immunology 1.6k
- Endocrinology, Diabetes and Metabolism 1.2k
- Organic Chemistry 1.7k
- Cancer Research 758
Countries citing papers authored by Jeffrey E. Kudlow
This map shows the geographic impact of Jeffrey E. Kudlow'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 Jeffrey E. Kudlow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey E. Kudlow more than expected).
Fields of papers citing papers by Jeffrey E. Kudlow
This network shows the impact of papers produced by Jeffrey E. Kudlow. 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 Jeffrey E. Kudlow. The network helps show where Jeffrey E. Kudlow may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey E. Kudlow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 484 | |
| 2 | 1988 | 381 | |
| 3 | 1997 | 377 | |
| 4 | 2003 | 348 | |
| 5 | 2002 | 327 | |
| 6 | 2001 | 238 | |
| 7 | 2000 | 215 | |
| 8 | 1997 | 191 | |
| 9 | 1985 | 177 | |
| 10 | 2004 | 173 | |
| 11 | 2005 | 162 | |
| 12 | 2007 | 162 | |
| 13 | 1992 | 155 | |
| 14 | 1996 | 140 | |
| 15 | 1986 | 126 | |
| 16 | 2002 | 121 | |
| 17 | 1999 | 120 | |
| 18 | 2001 | 113 | |
| 19 | 1989 | 103 | |
| 20 | 1984 | 103 |
About Jeffrey E. Kudlow
Jeffrey E. Kudlow is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Cancer Research and Oncology, having authored 97 papers that have together received 7.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (40 papers), Growth Hormone and Insulin-like Growth Factors (20 papers), Carbohydrate Chemistry and Synthesis (17 papers), Ubiquitin and proteasome pathways (17 papers), TGF-β signaling in diseases (15 papers), Cancer, Hypoxia, and Metabolism (13 papers), Galectins and Cancer Biology (11 papers) and Pancreatic function and diabetes (11 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Immunology (1.6k citations), Endocrinology, Diabetes and Metabolism (1.2k citations), Organic Chemistry (1.7k citations) and Cancer Research (758 citations). Jeffrey E. Kudlow has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Andrew J. Paterson, Xiaoyong Yang, Fengxue Zhang, Inn‐Oc Han, Kaihong Su, Mark D. Roos, Michael S. Kobrin, Jeffrey D. Bjorge, Robert J. Konrad and Edward Chin. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Molecular Endocrinology, Biochemical Journal and Molecular and Cellular Biology.
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.