Tomomi Ihara

1.6k citations
45 papers · 1.2k · h-index 17

Impact in

Papers in

Tomomi Ihara

44 papers receiving 1.2k citations

Peers

Tomomi Ihara
Comparison fields: 5 of 112
  • Reproductive Medicine 276
  • Health, Toxicology and Mutagenesis 321
  • Obstetrics and Gynecology 152
  • Developmental Neuroscience 62
  • Immunology 235
Replace Masao Sugamata with:
Masao Sugamata Japan
Wei Shen China
Yanqing Geng China
Li‐Jun Huo China
Yong‐Pil Cheon South Korea
Thomas H. Umbreit United States
Liying Gao China
P. Jacquet Belgium
Jialiu Wei China
Kiyoshi Imai Japan
Tomomi Ihara relative to Masao Sugamata Japan Masao Sugamata's profile →
Citations per field
00.5×1.5×
Masao Sugamata · 1×
Citations per year

Countries citing papers authored by Tomomi Ihara

Since Specialization
Citations

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

Fields of papers citing papers by Tomomi Ihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009278
2 1995122
3 1999117
4 199898
5 200575
6 200267
7 200651
8 199744
9 201443
10 199738
11 200334
12 200830
13 201328
14 200424
15 200922
16 201220
17 200619
18 200813
19 201111
20 202110

About Tomomi Ihara

Tomomi Ihara is a scholar working on Reproductive Medicine, Immunology, Health, Toxicology and Mutagenesis, Molecular Biology and Obstetrics and Gynecology, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (16 papers), Air Quality and Health Impacts (7 papers), Reproductive System and Pregnancy (7 papers), Uterine Myomas and Treatments (7 papers), Cell death mechanisms and regulation (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Energy and Environment Impacts (4 papers) and Helicobacter pylori-related gastroenterology studies (3 papers). The work is most often cited by research in Reproductive Medicine (276 citations), Health, Toxicology and Mutagenesis (321 citations), Obstetrics and Gynecology (152 citations), Developmental Neuroscience (62 citations) and Immunology (235 citations). Tomomi Ihara has collaborated with scholars based in Japan, United States and Ireland. Frequent co-authors include Masao Sugamata, Shigeru Oshio, Ken Takeda, Ken Takeda, Hiroki Okumura, Yoshio Ueno, Masako Tabata, Miyoko Kubo‐Irie, Masakazu Umezawa and Ken‐ichiro Suzuki. Their work appears in journals such as Fertility and Sterility, Cytokine, Journal of Clinical Biochemistry and Nutrition, European Psychiatry and PLoS ONE.

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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