Suman Rice

34 papers receiving 1.7k citations

Peers

Suman Rice
Comparison fields: 5 of 95
  • Reproductive Medicine 803
  • Public Health, Environmental and Occupational Health 800
  • Molecular Biology 431
  • Genetics 340
  • Endocrinology, Diabetes and Metabolism 239
Replace Ana D. Martins with:
Ana D. Martins Portugal
Patrick Vernet France
Silvina Beatriz Meroni Argentina
Eliana Herminia Pellizzari Argentina
Sandra Amaral Portugal
Rosália Sá Portugal
C. Bellido Spain
Giovanna Di Emidio Italy
María Fernanda Riera Argentina
Virginie Maillard France
Suman Rice relative to Ana D. Martins Portugal Ana D. Martins's profile →
Citations per field
00.5×1.5×1.9×
Ana D. Martins · 1×
Citations per year

Countries citing papers authored by Suman Rice

Since Specialization
Citations

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

Fields of papers citing papers by Suman Rice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suman Rice

This figure shows the co-authorship network connecting the top 25 collaborators of Suman Rice. A scholar is included among the top collaborators of Suman Rice based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suman Rice. Suman Rice is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 15
3 12
4 203
5 144
6 34
7 22
8 38
9 30
10
Anti-Mullerian hormone (AMH) production by and amh type-II receptor (AMHRII) in normal human ovaries
2
11 25
12 103
13 105
14
PHYTOESTROGENS INHIBIT mRNA EXPRESSION AND ACTIVITY OF AROMATASE IN HUMAN GRANULOSA-LUTEAL (GL) CELLS
2
15 177
16
Resistance to insulin-dependent glucose metabolism in human granulosa-luteal cells from anovulatory women with polycystic ovaries
1
17 79
18
Expression of mRNA for IGF-1, IGF-2, type 1-IGF receptor, type 2-IGF receptor and insulin receptor in isolated, human preantral follicles
1
19 46
20 21

About Suman Rice

Suman Rice is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Clinical Biochemistry, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Reproductive Biology and Fertility (14 papers) and Phytoestrogen effects and research (5 papers). The work is most often cited by research in Reproductive Medicine (803 citations), Public Health, Environmental and Occupational Health (800 citations) and Endocrinology, Diabetes and Metabolism (239 citations). Suman Rice has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include S. A. Whitehead, Helen Mason, Laura Pellatt, Kate Hardy, Elaine Spector, Kamal Ojha, Nafi Dilaver, Stephen Franks, R. Margara and Stephen D. Cederbaum. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Endocrinology and Human 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.

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