ROBERT G. ELGIN
Impact in
-
- Growth Hormone and Insulin-like Growth Factors
- Endocrinology top 5%
- Legionella and Acanthamoeba research
Papers in
-
- Muscle Physiology and Disorders 1
-
- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- David R. Clemmons (6 shared papers)Walker H. Busby (1 shared paper)Victor K. M. Han (2 shared papers)A. Joseph D’Ercole (2 shared papers)Samuel J. Casella (1 shared paper)Judson J. Van Wyk (1 shared paper)Marlin H. Dehoff (2 shared papers)Richard P. Wenzel (1 shared paper)
- Journals
- American Journal of Ophthalmology (1 paper)Molecular Endocrinology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Animal Science (1 paper)Endocrinology (1 paper)
- Partner nations
- United StatesRussia
In The Last Decade
ROBERT G. ELGIN
7 papers receiving 1.0k citations
ROBERT G. ELGIN's Hit Papers
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 760
- Endocrinology 84
- Cancer Research 167
- Genetics 193
- Molecular Biology 445
Countries citing papers authored by ROBERT G. ELGIN
This map shows the geographic impact of ROBERT G. ELGIN'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 ROBERT G. ELGIN with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites ROBERT G. ELGIN more than expected).
Fields of papers citing papers by ROBERT G. ELGIN
This network shows the impact of papers produced by ROBERT G. ELGIN. 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 ROBERT G. ELGIN. The network helps show where ROBERT G. ELGIN may publish in the future.
Co-authors
The 15 scholars most cited alongside ROBERT G. ELGIN, 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 | An insulin-like growth factor (IGF) binding protein enhances the biologic response to IGF-I. Hit paper breakdown → | 1987 | 590 |
| 2 | 1986 | 202 | |
| 3 | 1996 | 114 | |
| 4 | 1988 | 74 | |
| 5 | 1987 | 43 | |
| 6 | 1987 | 20 | |
| 7 | 1986 | 15 |
About ROBERT G. ELGIN
ROBERT G. ELGIN is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Genetics and Agronomy and Crop Science, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Digestive system and related health (1 paper), Graphene and Nanomaterials Applications (1 paper), Muscle Physiology and Disorders (1 paper), Legionella and Acanthamoeba research (1 paper), Reproductive Biology and Fertility (1 paper) and Reproductive Physiology in Livestock (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (760 citations), Endocrinology (84 citations), Cancer Research (167 citations), Genetics (193 citations) and Molecular Biology (445 citations). ROBERT G. ELGIN has collaborated with scholars based in United States and Russia. Frequent co-authors include David R. Clemmons, Walker H. Busby, Victor K. M. Han, A. Joseph D’Ercole, Samuel J. Casella, Judson J. Van Wyk, Marlin H. Dehoff, Richard P. Wenzel, William D. Mathers and Robert Folberg. Their work appears in journals such as American Journal of Ophthalmology, Molecular Endocrinology, Proceedings of the National Academy of Sciences, Journal of Animal Science and 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.