S. S. Koide

245 papers receiving 4.0k citations

Peers

S. S. Koide
Comparison fields: 5 of 120
  • Reproductive Medicine 1.1k
  • Physiology 282
  • Public Health, Environmental and Occupational Health 895
  • Oncology 774
  • Molecular Biology 2.0k
Replace Kaoru Miyamoto with:
Kaoru Miyamoto Japan
Carlos R. Morales Canada
Gary E. Olson United States
Debra J. Wolgemuth United States
Fred Sinowatz Germany
Deborah A. O’Brien United States
Anthony R. Bellvé United States
Michael D. Griswold United States
Clement L. Markert United States
Erwin Goldberg United States
S. S. Koide relative to Kaoru Miyamoto Japan Kaoru Miyamoto's profile →
Citations per field
00.5×2.5×
Kaoru Miyamoto · 1×
Citations per year

Countries citing papers authored by S. S. Koide

Since Specialization
Citations

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

Fields of papers citing papers by S. S. Koide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 252 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979178
2 1970157
3 1975154
4 1979149
5 1988111
6 1986108
7 198489
8 197466
9 197961
10 198661
11 198460
12 197160
13 200058
14 198154
15 198553
16 197253
17 198451
18 198449
19 199048
20 196548

About S. S. Koide

S. S. Koide is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Genetics and Endocrinology, Diabetes and Metabolism, having authored 252 papers that have together received 4.4k indexed citations. Recurring topics across this work include Sperm and Testicular Function (66 papers), Reproductive Biology and Fertility (53 papers), RNA Interference and Gene Delivery (18 papers), Animal Genetics and Reproduction (18 papers), Reproductive System and Pregnancy (18 papers), Estrogen and related hormone effects (16 papers), PARP inhibition in cancer therapy (16 papers) and DNA Repair Mechanisms (15 papers). The work is most often cited by research in Reproductive Medicine (1.1k citations), Physiology (282 citations), Public Health, Environmental and Occupational Health (895 citations), Oncology (774 citations) and Molecular Biology (2.0k citations). S. S. Koide has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Luis A. Burzio, Luis O. Burzio, Patricio Riquelme, Eimei Sato, Sheldon J. Segal, Yoshinori Tanigawa, Arjun L. Kadam, Koichiro Yoshihara, K. Yoshihara and Yuan Yan. Their work appears in journals such as Biochemical and Biophysical Research Communications, Endocrinology, Cellular and Molecular Life Sciences, Biology of Reproduction and Contraception.

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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