Shanthi Muttukrishna

5.5k citations
76 papers · 3.7k indexed · h-index 36

Impact in

Papers in

Shanthi Muttukrishna

74 papers receiving 3.6k citations

Peers

Shanthi Muttukrishna
Comparison fields: 5 of 117
  • Obstetrics and Gynecology 1.3k
  • Reproductive Medicine 1.2k
  • Pediatrics, Perinatology and Child Health 1.1k
  • Public Health, Environmental and Occupational Health 1.5k
  • Immunology 677
Replace D. Healy with:
D. Healy Australia
Eytan R. Barnea United States
Shingo Fujii Japan
Eyal Y. Anteby Israel
Marc A. Fritz United States
G. Ragni Italy
Mary D. Stephenson United States
Orhan Bükülmez United States
D. Loutradis Greece
Nick A. Bersinger Switzerland
Shanthi Muttukrishna relative to D. Healy Australia D. Healy's profile →
Citations per field
00.5×4.8×
D. Healy · 1×
Citations per year

Countries citing papers authored by Shanthi Muttukrishna

Since Specialization
Citations

This map shows the geographic impact of Shanthi 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 Shanthi Muttukrishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanthi Muttukrishna more than expected).

Fields of papers citing papers by Shanthi Muttukrishna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shanthi 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 Shanthi Muttukrishna. The network helps show where Shanthi Muttukrishna may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Shanthi Muttukrishna, 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 Shanthi Muttukrishna Line = papers co-authored together Shanthi Muttukrishna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202110
2 201624
3 201313
4 201334
5 201239
6 201212
7 201150
8 20111
9 200798
10 200735
11 200537
12 200589
13 199896
14 199872
15 199749
16 199794
17 1997239
18 199756
19 1996247
20 199673

About Shanthi Muttukrishna

Shanthi Muttukrishna is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Endocrinology, Diabetes and Metabolism, having authored 76 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (36 papers), TGF-β signaling in diseases (22 papers), Ovarian function and disorders (13 papers), Reproductive Biology and Fertility (13 papers), Birth, Development, and Health (13 papers), Reproductive System and Pregnancy (11 papers), Cancer Risks and Factors (8 papers) and Sperm and Testicular Function (6 papers). The work is most often cited by research in Obstetrics and Gynecology (1.3k citations), Reproductive Medicine (1.2k citations), Pediatrics, Perinatology and Child Health (1.1k citations), Public Health, Environmental and Occupational Health (1.5k citations) and Immunology (677 citations). Shanthi Muttukrishna has collaborated with scholars based in United Kingdom, Ireland and United States. Frequent co-authors include Nigel P. Groome, P. G. Knight, William J. Ledger, Eric Jauniaux, S. Gangooly, M. Mihm, Paul Serhal, Gillian Lockwood, Jean Calleja‐Agius and H H McGarrigle. Their work appears in journals such as Human Reproduction, European Journal of Endocrinology, Clinical Endocrinology, PLoS ONE and Fertility and Sterility.

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.

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