C. Sumida

54 papers receiving 1.1k citations

Peers

C. Sumida
Comparison fields: 5 of 100
  • Genetics 523
  • Behavioral Neuroscience 51
  • Immunology 282
  • Reproductive Medicine 100
  • Endocrinology, Diabetes and Metabolism 185
Replace C. Benassayag with:
C. Benassayag France
Sherry F. Grissom United States
C. Bellido Spain
Raymond F. Aten United States
Jerry R. Reel United States
JÅ Gustafsson Sweden
Barbara A. Murry United States
G. Vallette France
Diane S. Keeney United States
R. E. OAKEY United Kingdom
C. Sumida relative to C. Benassayag France C. Benassayag's profile →
Citations per field
00.5×1.5×2.2×
C. Benassayag · 1×
Citations per year

Countries citing papers authored by C. Sumida

Since Specialization
Citations

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

Fields of papers citing papers by C. Sumida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside C. Sumida, 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 C. Sumida Line = papers co-authored together C. Sumida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fatty acids and cell signal transduction.
1994188
2 1971126
3 1993125
4 198881
5 197155
6 199154
7 198853
8 197649
9 198940
10 199537
11
Determination of cytosol and nuclear estradiol-binding sites in fetal guinea pig uterus by [3H]estradiol exchange.
197937
12 198131
13 197230
14 199426
15 197624
16 198024
17 199023
18 199322
19 197422
20 198121

About C. Sumida

C. Sumida is a scholar working on Genetics, Immunology, Molecular Biology, Agronomy and Crop Science and Endocrinology, Diabetes and Metabolism, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (30 papers), Reproductive System and Pregnancy (21 papers), Reproductive Physiology in Livestock (10 papers), Birth, Development, and Health (6 papers), Hormonal Regulation and Hypertension (4 papers), Fatty Acid Research and Health (3 papers), Pregnancy and preeclampsia studies (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Genetics (523 citations), Behavioral Neuroscience (51 citations), Immunology (282 citations), Reproductive Medicine (100 citations) and Endocrinology, Diabetes and Metabolism (185 citations). C. Sumida has collaborated with scholars based in France, United States and Canada. Frequent co-authors include Jörge R. Pasqualini, E.A. Nunez, Riccardo Graber, C. Gelly, B. Hadorn, G. Vallette, T. J. Peters, B.‐L. Nguyen, Alberto Gulino and J. C. Haworth. Their work appears in journals such as Endocrinology, European Journal of Endocrinology, Journal of Endocrinology, Prostaglandins Leukotrienes and Essential Fatty Acids and Cellular Signalling.

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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