Ken Siddle
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Genomic variations and chromosomal abnormalities
- Genetic Syndromes and Imprinting
- Estrogen and related hormone effects
Papers in
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- Growth Hormone and Insulin-like Growth Factors 7
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- Metabolism, Diabetes, and Cancer 3
- Protein Kinase Regulation and GTPase Signaling 2
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Russell Leek (2 shared papers)Marian Taylor (2 shared papers)Adrian L. Harris (2 shared papers)Matthew J. Ellis (2 shared papers)David B. Dunger (1 shared paper)Shin‐Ichiro Takahashi (1 shared paper)Louise C. Wilson (1 shared paper)Clive J. Petry (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)FEBS Letters (1 paper)Diabetes Care (1 paper)The Journal of Clinical Endocrinology & Metabolism (1 paper)Journal of Molecular Endocrinology (1 paper)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
Ken Siddle
9 papers receiving 332 citations
Peers
Comparison fields: 5 of 33
- Endocrinology, Diabetes and Metabolism 145
- Genetics 67
- Cancer Research 22
- Molecular Biology 90
- Oncology 31
Countries citing papers authored by Ken Siddle
This map shows the geographic impact of Ken 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 Ken Siddle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Siddle more than expected).
Fields of papers citing papers by Ken Siddle
This network shows the impact of papers produced by Ken 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 Ken Siddle. The network helps show where Ken Siddle may publish in the future.
Co-authors
The 25 scholars most cited alongside Ken 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 | 2003 | 107 | |
| 2 | 1998 | 92 | |
| 3 | 1998 | 65 | |
| 4 | 1993 | 19 | |
| 5 | 1990 | 18 | |
| 6 | 1996 | 16 | |
| 7 | 2006 | 16 | |
| 8 | 1998 | 6 | |
| 9 | 1994 | 5 | |
| 10 | 2008 | 0 |
About Ken Siddle
Ken Siddle is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 344 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (7 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Pancreatic function and diabetes (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (145 citations), Genetics (67 citations), Cancer Research (22 citations), Molecular Biology (90 citations) and Oncology (31 citations). Ken Siddle has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Russell Leek, Marian Taylor, Adrian L. Harris, Matthew J. Ellis, David B. Dunger, Shin‐Ichiro Takahashi, Louise C. Wilson, Clive J. Petry, Lionel R. Willatt and Toshiaki Fukushima. Their work appears in journals such as Biochemical and Biophysical Research Communications, FEBS Letters, Diabetes Care, The Journal of Clinical Endocrinology & Metabolism and Journal of Molecular Endocrinology.
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.