Toru Mori

7.0k citations
223 papers · 5.5k · 1 hit paper · h-index 39

Impact in

Papers in

Toru Mori

214 papers receiving 5.2k citations

Toru Mori's Hit Papers

Specific Detection of Tuberculosis Infection 2004 · 529 citations
5290+7+14Years since publication100200300400500

Peers

Toru Mori
Comparison fields: 5 of 168
  • Infectious Diseases 1.6k
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Epidemiology 1.2k
  • Reproductive Medicine 205
  • Surgery 883
Replace Xiaoping Luo with:
Xiaoping Luo China
Shanshan Wu China
Qing Li China
Osamu Yoshida Japan
Fen Wang China
Guangfu Jin China
Moustapha Hassan Sweden
Akira Kawashima United States
Feng Guo China
Stefano Landi Italy
Toru Mori relative to Xiaoping Luo China Xiaoping Luo's profile →
Citations per field
00.5×3.1×
Xiaoping Luo · 1×
Citations per year

Countries citing papers authored by Toru Mori

Since Specialization
Citations

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

Fields of papers citing papers by Toru Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 223 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Specific Detection of Tuberculosis Infection
Hit paper breakdown →
2004529
2 1978250
3 1991158
4 1982155
5 2006127
6
A new imaging agent for medullary carcinoma of the thyroid.
1984121
7 1986120
8 2010120
9 1971117
10 1983114
11 2006107
12 199599
13 201094
14 199393
15 198392
16 200884
17 200081
18 199479
19 199978
20 201078

About Toru Mori

Toru Mori is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Molecular Biology, Epidemiology and Surgery, having authored 223 papers that have together received 5.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (49 papers), Tuberculosis Research and Epidemiology (45 papers), Mycobacterium research and diagnosis (24 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Neuropeptides and Animal Physiology (13 papers), Infectious Diseases and Tuberculosis (13 papers) and Thyroid Cancer Diagnosis and Treatment (12 papers). The work is most often cited by research in Infectious Diseases (1.6k citations), Endocrinology, Diabetes and Metabolism (1.4k citations), Epidemiology (1.2k citations), Reproductive Medicine (205 citations) and Surgery (883 citations). Toru Mori has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroo Imura, Nobuyuki Harada, Shinji Kosugi, K Torizuka, K Ikekubo, Junji Konishi, Kazue Higuchi, Takashi Akamizu, Hideo Sugawa and Keigo Endo. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical and Biophysical Research Communications, Endocrinology, Japanese Journal of Applied Physics and Respirology.

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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