S. Muttukrishna
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
-
- TGF-β signaling in diseases 5
- Kruppel-like factors research 1
- Bone Metabolism and Diseases 1
-
- Growth Hormone and Insulin-like Growth Factors 3
- Co-authors
- P. G. Knight (7 shared papers)Nigel P. Groome (5 shared papers)Paul Fowler (2 shared papers)L. George (1 shared paper)Grant Mitchell (1 shared paper)W. R. Robertson (1 shared paper)William J. Ledger (2 shared papers)David H. Barlow (2 shared papers)
- Journals
- American Journal of Reproductive Immunology (2 papers)Journal of Endocrinology (2 papers)Human Reproduction (2 papers)Animal Reproduction Science (1 paper)Biology of Reproduction (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
S. Muttukrishna
10 papers receiving 414 citations
Peers
Comparison fields: 5 of 37
- Reproductive Medicine 105
- Obstetrics and Gynecology 58
- Agronomy and Crop Science 55
- Public Health, Environmental and Occupational Health 138
- Endocrinology, Diabetes and Metabolism 50
Countries citing papers authored by S. Muttukrishna
This map shows the geographic impact of S. Muttukrishna'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 S. Muttukrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Muttukrishna more than expected).
Fields of papers citing papers by S. Muttukrishna
This network shows the impact of papers produced by S. Muttukrishna. 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 S. Muttukrishna. The network helps show where S. Muttukrishna may publish in the future.
Co-authors
The 19 scholars most cited alongside S. Muttukrishna, 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 | 1996 | 146 | |
| 2 | 1994 | 112 | |
| 3 | 1991 | 37 | |
| 4 | 1999 | 34 | |
| 5 | 1990 | 25 | |
| 6 | 2000 | 24 | |
| 7 | 1996 | 17 | |
| 8 | 1992 | 16 | |
| 9 | 1998 | 15 | |
| 10 | 1994 | 4 |
About S. Muttukrishna
S. Muttukrishna is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Nephrology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science, having authored 10 papers that have together received 430 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Kruppel-like factors research (1 paper), Lipid metabolism and disorders (1 paper), Reproductive Biology and Fertility (1 paper), Bone Metabolism and Diseases (1 paper), Reproductive Physiology in Livestock (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (105 citations), Obstetrics and Gynecology (58 citations), Agronomy and Crop Science (55 citations), Public Health, Environmental and Occupational Health (138 citations) and Endocrinology, Diabetes and Metabolism (50 citations). S. Muttukrishna has collaborated with scholars based in United Kingdom. Frequent co-authors include P. G. Knight, Nigel P. Groome, Paul Fowler, L. George, Grant Mitchell, W. R. Robertson, William J. Ledger, David H. Barlow, G. E. Webley and N. P. Groome. Their work appears in journals such as American Journal of Reproductive Immunology, Journal of Endocrinology, Human Reproduction, Animal Reproduction Science and Biology of Reproduction.
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.