Tomoya Mori

1.2k citations
60 papers · 943 · h-index 17

Impact in

Papers in

    • Single-cell and spatial transcriptomics 6
    • Gene Regulatory Network Analysis 6
    • Reproductive System and Pregnancy 10

Tomoya Mori

59 papers receiving 922 citations

Peers

Tomoya Mori
Comparison fields: 5 of 114
  • Reproductive Medicine 225
  • Obstetrics and Gynecology 78
  • Agronomy and Crop Science 102
  • Immunology 191
  • Immunology and Allergy 44
Replace Aimin Zhao with:
Aimin Zhao China
R. Kudo Japan
Liqian Zhang China
Damian Roqueiro Switzerland
Joseph Huang United States
Gregory Riedlinger United States
Min Ren China
Linda Cheung United Kingdom
Pegah Khosravi United States
Tomoya Mori relative to Aimin Zhao China Aimin Zhao's profile →
Citations per field
00.5×9.3×
Aimin Zhao · 1×
Citations per year

Countries citing papers authored by Tomoya Mori

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997116
2 198263
3 199448
4 199541
5 199739
6 199539
7 199536
8 199535
9 199334
10 198533
11 199531
12 199531
13 199230
14 199324
15 199623
16 198523
17 198818
18 199316
19 199416
20 199416

About Tomoya Mori

Tomoya Mori is a scholar working on Molecular Biology, Immunology, Reproductive Medicine, Public Health, Environmental and Occupational Health and Artificial Intelligence, having authored 60 papers that have together received 943 indexed citations. Recurring topics across this work include Reproductive System and Pregnancy (10 papers), Endometriosis Research and Treatment (7 papers), Single-cell and spatial transcriptomics (6 papers), Gene Regulatory Network Analysis (6 papers), Stability and Control of Uncertain Systems (4 papers), Reproductive Biology and Fertility (4 papers), Infant Nutrition and Health (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Reproductive Medicine (225 citations), Obstetrics and Gynecology (78 citations), Agronomy and Crop Science (102 citations), Immunology (191 citations) and Immunology and Allergy (44 citations). Tomoya Mori has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Ikuo Konishi, Hiroshi Fujiwara, M Maeda, Masaki Mandai, K Nanbu, Shinichi Yamamoto, M. Kuwahara, Norio Fukuma, K Matsushita and Hisao Kuroda. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Computational Biology, Human Reproduction, Theriogenology and BMC Systems Biology.

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.

Explore authors with similar magnitude of impact