Toru Mori

7.0k citations
210 papers · 5.9k · h-index 41

Impact in

Papers in

Toru Mori

199 papers receiving 5.5k citations

Peers

Toru Mori
Comparison fields: 5 of 175
  • Infectious Diseases 1.8k
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Epidemiology 1.3k
  • Reproductive Medicine 224
  • Surgery 993
Replace Shanshan Wu with:
Shanshan Wu China
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Xiaohong Wu China
Xuelei Ma China
Akira Kawashima United States
Min Li China
Jane E. Collins United Kingdom
Christopher M. Reilly United States
Qian Zhang China
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Toru Mori relative to Shanshan Wu China Shanshan Wu's profile →
Citations per field
00.5×2×3.1×
Shanshan Wu · 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 210 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004551
2 1978258
3 1982168
4 1991168
5 2006137
6 2010133
7
A new imaging agent for medullary carcinoma of the thyroid.
1984131
8 1983130
9 1986129
10 2018126
11 1971124
12 2006112
13 1995110
14 2010105
15 198397
16 199396
17 200094
18 200891
19 199485
20 199984

About Toru Mori

Toru Mori is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 210 papers that have together received 5.9k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (49 papers), Tuberculosis Research and Epidemiology (41 papers), Mycobacterium research and diagnosis (24 papers), Growth Hormone and Insulin-like Growth Factors (14 papers), Monoclonal and Polyclonal Antibodies Research (14 papers), Neuropeptides and Animal Physiology (13 papers), Thyroid Cancer Diagnosis and Treatment (12 papers) and Radiopharmaceutical Chemistry and Applications (11 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Endocrinology, Diabetes and Metabolism (1.5k citations), Epidemiology (1.3k citations), Reproductive Medicine (224 citations) and Surgery (993 citations). Toru Mori has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hiroo Imura, Nobuyuki Harada, Shinji Kosugi, Kanji 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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