S. Muttukrishna
- Reproductive Medicine top 5%
- Endometriosis Research and Treatment 1
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies 1
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock 1
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- Growth Hormone and Insulin-like Growth Factors 3
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- TGF-β signaling in diseases 5
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- Prenatal Screening and Diagnostics 1
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- Lipid metabolism and disorders 1
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- Parathyroid Disorders and Treatments 1
- Co-authors
- P. G. KnightNigel P. GroomePaul FowlerL. GeorgeGrant MitchellW. R. RobertsonWilliam J. LedgerDavid H. Barlow
- Cited by
- Reproductive MedicineObstetrics and GynecologyPublic Health, Environmental and Occupational Health
- Journals
- American Journal of Reproductive Immunology (2 papers)Journal of Endocrinology (2 papers)Human Reproduction (2 papers)
- Partner nations
- United Kingdom
In The Last Decade
S. Muttukrishna
10 papers receiving 417 citations
Peers
Comparison fields: 5 of 40
- Reproductive Medicine 137
- Obstetrics and Gynecology 98
- Public Health, Environmental and Occupational Health 192
- Agronomy and Crop Science 58
- Endocrinology, Diabetes and Metabolism 63
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-authorship network
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 | 2000 | 24 | |
| 2 | 1999 | 33 | |
| 3 | 1998 | 16 | |
| 4 | 1996 | 17 | |
| 5 | 1996 | 147 | |
| 6 | 1994 | 4 | |
| 7 | 1994 | 112 | |
| 8 | 1992 | 16 | |
| 9 | 1991 | 37 | |
| 10 | 1990 | 25 |
About S. Muttukrishna
S. Muttukrishna is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology and Obstetrics and Gynecology, having authored 10 papers that have together received 431 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (5 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Pregnancy and preeclampsia studies (1 paper), Reproductive Physiology in Livestock (1 paper), Endometriosis Research and Treatment (1 paper), Prenatal Screening and Diagnostics (1 paper), Lipid metabolism and disorders (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Reproductive Medicine (137 citations), Obstetrics and Gynecology (98 citations) and Public Health, Environmental and Occupational Health (192 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, N. P. Groome and G. E. Webley. 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.