Kenneth Siddle
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- Growth Hormone and Insulin-like Growth Factors 27
- Molecular Biology top 1%
- Metabolism, Diabetes, and Cancer 50
- Protein Kinase Regulation and GTPase Signaling 29
- Receptor Mechanisms and Signaling 16
- Glycosylation and Glycoproteins Research 13
- Physiology top 1%
- Adipose Tissue and Metabolism 15
- Cancer Research top 2%
- Cell Biology top 1%
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- Pancreatic function and diabetes 47
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- Monoclonal and Polyclonal Antibodies Research 28
- Co-authors
- Maria A. SoosPeter R. ShepherdDominic J. WithersJ. Paul LuzioB. NaveCarola U. NieslerC. E. FieldRichard M. O’Brien
- Journals
- Biochemical Journal (28 papers)Biochemical Society Transactions (22 papers)Journal of Biological Chemistry (17 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Kenneth Siddle
163 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Endocrinology, Diabetes and Metabolism 2.5k
- Molecular Biology 5.9k
- Physiology 1.4k
- Cancer Research 753
- Cell Biology 779
Countries citing papers authored by Kenneth Siddle
This map shows the geographic impact of Kenneth Siddle'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 Kenneth Siddle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Siddle more than expected).
Fields of papers citing papers by Kenneth Siddle
This network shows the impact of papers produced by Kenneth Siddle. 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 Kenneth Siddle. The network helps show where Kenneth Siddle may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth Siddle, 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 | 2018 | 7 | |
| 2 | 2016 | 11 | |
| 3 | 2012 | 117 | |
| 4 | 2009 | 79 | |
| 5 | 2007 | 36 | |
| 6 | 2001 | 19 | |
| 7 | 2000 | 8 | |
| 8 | 1999 | 22 | |
| 9 | 1999 | 53 | |
| 10 | 1998 | 96 | |
| 11 | 1998 | 26 | |
| 12 | 1997 | 50 | |
| 13 | 1997 | 28 | |
| 14 | 1996 | 20 | |
| 15 | 1995 | 5 | |
| 16 | 1994 | 18 | |
| 17 | 1993 | 78 | |
| 18 | 1991 | 36 | |
| 19 | 1989 | 10 | |
| 20 | 1988 | 34 |
About Kenneth Siddle
Kenneth Siddle is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 165 papers that have together received 8.6k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (50 papers), Pancreatic function and diabetes (47 papers), Protein Kinase Regulation and GTPase Signaling (29 papers), Monoclonal and Polyclonal Antibodies Research (28 papers), Growth Hormone and Insulin-like Growth Factors (27 papers), Receptor Mechanisms and Signaling (16 papers), Adipose Tissue and Metabolism (15 papers) and Glycosylation and Glycoproteins Research (13 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.5k citations), Molecular Biology (5.9k citations), Physiology (1.4k citations), Cancer Research (753 citations) and Cell Biology (779 citations). Kenneth Siddle has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Maria A. Soos, Peter R. Shepherd, Dominic J. Withers, J. Paul Luzio, B. Nave, Carola U. Niesler, C. E. Field, Richard M. O’Brien, Stephen O’Rahilly and A. Ullrich. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Journal of Biological Chemistry, FEBS Letters and Diabetes.
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.