E. Kamanga‐Sollo
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Hormonal and reproductive studies
- Animal Science and Zoology top 5%
- Pharmacological Effects and Assays
- Meat and Animal Product Quality
Papers in
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- Growth Hormone and Insulin-like Growth Factors 13
- Hormonal and reproductive studies 3
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- Muscle Physiology and Disorders 11
- Metabolism, Diabetes, and Cancer 2
- Co-authors
- W.R. Dayton (17 shared papers)Margaret White (16 shared papers)M.R. Hathaway (10 shared papers)Mary S. Pampusch (8 shared papers)Gang Xi (4 shared papers)Ki Yong Chung (2 shared papers)B. J. Johnson (2 shared papers)W.J. Weber (2 shared papers)
- Journals
- Domestic Animal Endocrinology (10 papers)Journal of Cellular Physiology (3 papers)Journal of Endocrinology (2 papers)Journal of Animal Science (2 papers)Experimental Cell Research (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
E. Kamanga‐Sollo
18 papers receiving 496 citations
Peers
Comparison fields: 5 of 56
- Endocrinology, Diabetes and Metabolism 172
- Animal Science and Zoology 99
- Aging 15
- Cell Biology 100
- Rehabilitation 41
Countries citing papers authored by E. Kamanga‐Sollo
This map shows the geographic impact of E. Kamanga‐Sollo'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 E. Kamanga‐Sollo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Kamanga‐Sollo more than expected).
Fields of papers citing papers by E. Kamanga‐Sollo
This network shows the impact of papers produced by E. Kamanga‐Sollo. 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 E. Kamanga‐Sollo. The network helps show where E. Kamanga‐Sollo may publish in the future.
Co-authors
The 12 scholars most cited alongside E. Kamanga‐Sollo, 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 | 2004 | 75 | |
| 2 | 2008 | 52 | |
| 3 | 2011 | 49 | |
| 4 | 2003 | 45 | |
| 5 | 2010 | 43 | |
| 6 | 2008 | 35 | |
| 7 | 2003 | 30 | |
| 8 | 2005 | 30 | |
| 9 | 2010 | 22 | |
| 10 | 2014 | 22 | |
| 11 | 2004 | 19 | |
| 12 | 2005 | 18 | |
| 13 | 2012 | 16 | |
| 14 | 2016 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2005 | 10 | |
| 17 | 2014 | 9 | |
| 18 | 2011 | 1 |
About E. Kamanga‐Sollo
E. Kamanga‐Sollo is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Genetics, Animal Science and Zoology and Cell Biology, having authored 18 papers that have together received 503 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (13 papers), Muscle Physiology and Disorders (11 papers), Hormonal and reproductive studies (3 papers), Muscle metabolism and nutrition (3 papers), Estrogen and related hormone effects (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Reproductive Biology and Fertility (2 papers) and Xenotransplantation and immune response (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (172 citations), Animal Science and Zoology (99 citations), Aging (15 citations), Cell Biology (100 citations) and Rehabilitation (41 citations). E. Kamanga‐Sollo has collaborated with scholars based in United States and China. Frequent co-authors include W.R. Dayton, Margaret White, M.R. Hathaway, Mary S. Pampusch, Gang Xi, Ki Yong Chung, B. J. Johnson, W.J. Weber, Kara J Thornton and Michelle E. White. Their work appears in journals such as Domestic Animal Endocrinology, Journal of Cellular Physiology, Journal of Endocrinology, Journal of Animal Science and Experimental Cell Research.
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.