Tamotsu Kobayashi

1.2k citations
43 papers · 832 indexed · h-index 18

Tamotsu Kobayashi

36 papers receiving 724 citations

Peers

Tamotsu Kobayashi
Comparison fields: 5 of 63
  • Reproductive Medicine 469
  • Public Health, Environmental and Occupational Health 622
  • Pediatrics, Perinatology and Child Health 352
  • Immunology 157
  • Aging 10
Replace S.J. Morin with:
S.J. Morin United States
Blair R. McCallie United States
Laurie J. McKenzie United States
Susan Gitlin United States
F. Guerrero Sánchez Belgium
Claude Humeau France
Françoise Arnal France
Walid E. Maalouf United Kingdom
Rie Sugiyama Japan
Katerina Chatzimeletiou Greece
Tamotsu Kobayashi relative to S.J. Morin United States S.J. Morin's profile →
Citations per field
00.5×10×13.3×
S.J. Morin · 1×
Citations per year

Countries citing papers authored by Tamotsu Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Tamotsu Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20222
3 202118
4 202017
5 20208
6
Retinoic Acid-Inducible Gene-i and CXCL10 are Involved in Biliary Atresia
20191
7 201918
8 20193
9 201827
10 201830
11 201748
12 201542
13 201439
14 201440
15 201419
16 201420
17 20120
18 201281
19 201288
20 20110

About Tamotsu Kobayashi

Tamotsu Kobayashi is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 832 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (27 papers), Ovarian function and disorders (17 papers), Assisted Reproductive Technology and Twin Pregnancy (17 papers), Reproductive System and Pregnancy (9 papers), Reproductive Health and Technologies (7 papers), Prenatal Screening and Diagnostics (4 papers), Sperm and Testicular Function (4 papers) and Renal and related cancers (3 papers). The work is most often cited by research in Reproductive Medicine (469 citations), Public Health, Environmental and Occupational Health (622 citations) and Pediatrics, Perinatology and Child Health (352 citations). Tamotsu Kobayashi has collaborated with scholars based in Sri Lanka, Japan and United States. Frequent co-authors include Keiichi Kato, Akiko Yabuuchi, Kenji Ezoe, Takashi Okuno, Kazuo Uchiyama, Satoshi Ueno, Tadashi Okimura, Tetsuya Miki, Tomoya Segawa and Osamu Kato. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

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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