E. Kamanga‐Sollo

592 citations
18 papers · 503 · h-index 14

Impact in

Papers in

E. Kamanga‐Sollo

18 papers receiving 496 citations

Peers

E. Kamanga‐Sollo
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 172
  • Animal Science and Zoology 99
  • Aging 15
  • Cell Biology 100
  • Rehabilitation 41
Replace Ferenc Jeanplong with:
Ferenc Jeanplong New Zealand
P. J. Fowke New Zealand
Tsghe Abraha United States
K. Hannon United States
Bernadette Rossano France
Ronald Wilkie United Kingdom
Xiaoxu Shen China
M. V. Dodson United States
G.J. Hausman United States
Selvi Krishnan United States
E. Kamanga‐Sollo relative to Ferenc Jeanplong New Zealand Ferenc Jeanplong's profile →
Citations per field
00.5×3.5×
Ferenc Jeanplong · 1×
Citations per year

Countries citing papers authored by E. Kamanga‐Sollo

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with E. Kamanga‐Sollo Line = papers co-authored together E. Kamanga‐Sollo links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200475
2 200852
3 201149
4 200345
5 201043
6 200835
7 200330
8 200530
9 201022
10 201422
11 200419
12 200518
13 201216
14 201614
15 201613
16 200510
17 20149
18 20111

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.

Explore authors with similar magnitude of impact