Takahide Mori

10.7k total citations · 1 hit paper
234 papers, 8.1k citations indexed

About

Takahide Mori is a scholar working on Immunology, Reproductive Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Takahide Mori has authored 234 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Immunology, 90 papers in Reproductive Medicine and 77 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Takahide Mori's work include Reproductive System and Pregnancy (76 papers), Reproductive Biology and Fertility (61 papers) and Ovarian cancer diagnosis and treatment (30 papers). Takahide Mori is often cited by papers focused on Reproductive System and Pregnancy (76 papers), Reproductive Biology and Fertility (61 papers) and Ovarian cancer diagnosis and treatment (30 papers). Takahide Mori collaborates with scholars based in Japan, United States and United Kingdom. Takahide Mori's co-authors include Yoichi Noda, Ikuo Konishi, Norimasa Sagawa, Hideharu Kanzaki, Shingo Fujii, K. Narimoto, Kazuwa Nakao, Yoshihiko Nanbu, Tsunekazu Matsumoto and Yoshihiro Ogawa and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and Development.

In The Last Decade

Takahide Mori

232 papers receiving 7.8k citations

Hit Papers

Nonadipose tissue production of leptin: Leptin as a novel... 1997 2026 2006 2016 1997 250 500 750 1000

Peers

Takahide Mori
Comparison fields: 5 of 131
  • Reproductive Medicine 3.0k
  • Immunology 2.3k
  • Public Health, Environmental and Occupational Health 2.2k
  • Obstetrics and Gynecology 1.7k
  • Molecular Biology 1.6k
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Citations per field, relative to Takahide Mori
Takahide Mori · 1×
Citations per year, relative to Takahide Mori
Takahide Mori · 1×

Countries citing papers authored by Takahide Mori

Since Specialization
Citations

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

Fields of papers citing papers by Takahide Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahide Mori

This figure shows the co-authorship network connecting the top 25 collaborators of Takahide Mori. A scholar is included among the top collaborators of Takahide Mori based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takahide Mori. Takahide Mori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 13
3 3
4 62
5 2
6 5
7 18
8 8
9
Expression of metastasis-related nm23-H1 and nm23-H2 genes in ovarian carcinomas: correlation with clinicopathology, EGFR, c-erbB-2, and c-erbB-3 genes, and sex steroid receptor expression.
100
10 136
11 65
12 27
13 37
14 35
15 45
16 18
17 36
18 61
19 20
20 20

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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2026