Ichiro Mori

201 papers receiving 5.7k citations

Peers

Ichiro Mori
Comparison fields: 5 of 154
  • Endocrinology, Diabetes and Metabolism 627
  • Oncology 1.0k
  • Nephrology 269
  • Cancer Research 450
  • Molecular Biology 2.0k
Replace Sohita Dhillon with:
Sohita Dhillon New Zealand
M. Zabel Poland
Gérard Feldmann France
Hans Glaumann Sweden
Motoko Takahashi Japan
Andrew D. Watson United States
Masanori Kitamura Japan
Jakob Troppmair Austria
Shigeo Horie Japan
Hideo A. Baba Germany
Ichiro Mori relative to Sohita Dhillon New Zealand Sohita Dhillon's profile →
Citations per field
00.5×2.8×
Sohita Dhillon · 1×
Citations per year

Countries citing papers authored by Ichiro Mori

Since Specialization
Citations

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

Fields of papers citing papers by Ichiro Mori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002231
2 1998200
3 2007193
4 1998191
5 2005167
6 1998137
7 2000132
8 2002120
9
Prognostic significance of vascular endothelial growth factor D in breast carcinoma with long-term follow-up.
2003114
10 2009111
11 2019105
12 200199
13
Urokinase-type plasminogen activator system and breast cancer (Review).
200598
14 201295
15 200991
16 200289
17 199088
18 201481
19 198381
20 200179

About Ichiro Mori

Ichiro Mori is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Genetics and Epidemiology, having authored 208 papers that have together received 5.9k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (15 papers), Adipose Tissue and Metabolism (8 papers), Parathyroid Disorders and Treatments (8 papers), Neuroendocrine Tumor Research Advances (8 papers), Cancer-related Molecular Pathways (7 papers), AI in cancer detection (7 papers), Angiogenesis and VEGF in Cancer (6 papers) and Estrogen and related hormone effects (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (627 citations), Oncology (1.0k citations), Nephrology (269 citations), Cancer Research (450 citations) and Molecular Biology (2.0k citations). Ichiro Mori has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Kennichi Kakudo, Misa Nakamura, Yasushi Nakamura, Amy M. Gehring, Qifeng Yang, Christopher T. Walsh, Nobukazu Ishizaka, Ryozo Nagai, Minoru Ohno and Emiko Taniguchi. Their work appears in journals such as Pathology International, Modern Pathology, Breast Cancer, Breast Cancer Research and Treatment and Biochemical and Biophysical Research Communications.

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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