Tadaaki Eimoto

124 papers receiving 4.4k citations

Peers

Tadaaki Eimoto
Comparison fields: 5 of 113
  • Neurology 1.4k
  • Pathology and Forensic Medicine 1.1k
  • Dermatology 388
  • Oncology 1.1k
  • Immunology 724
Replace Edoardo Pescarmona with:
Edoardo Pescarmona Italy
Taizan Suchi Japan
P G Isaacson United Kingdom
Yasuhiko Kaneko Japan
Stefano Ascani Italy
A G Stansfeld United Kingdom
Pierre Brousset France
Elizabeth Hyjek United States
Morishige Takeshita Japan
E. Kaiserling Germany
Tadaaki Eimoto relative to Edoardo Pescarmona Italy Edoardo Pescarmona's profile →
Citations per field
00.5×1.5×2.4×
Edoardo Pescarmona · 1×
Citations per year

Countries citing papers authored by Tadaaki Eimoto

Since Specialization
Citations

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

Fields of papers citing papers by Tadaaki Eimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 125 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002478
2
Clinical significance of CCR4 expression in adult T-cell leukemia/lymphoma: its close association with skin involvement and unfavorable outcome.
2003282
3 2006184
4 2000153
5 2004144
6 2001136
7 1991131
8 2002121
9 1999114
10 1978113
11 200197
12 200390
13 200586
14 200084
15 200283
16 200275
17 199967
18 200762
19 200358
20 200058

About Tadaaki Eimoto

Tadaaki Eimoto is a scholar working on Pathology and Forensic Medicine, Neurology, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 125 papers that have together received 4.7k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (23 papers), Lymphoma Diagnosis and Treatment (23 papers), T-cell and Retrovirus Studies (11 papers), Sarcoma Diagnosis and Treatment (10 papers), Salivary Gland Tumors Diagnosis and Treatment (8 papers), Vector-Borne Animal Diseases (6 papers), Neuroendocrine Tumor Research Advances (6 papers) and Vascular Tumors and Angiosarcomas (6 papers). The work is most often cited by research in Neurology (1.4k citations), Pathology and Forensic Medicine (1.1k citations), Dermatology (388 citations), Oncology (1.1k citations) and Immunology (724 citations). Tadaaki Eimoto has collaborated with scholars based in Japan, Taiwan and United States. Frequent co-authors include Hisashi Tateyama, Hiroshi Inagaki, Ryuzo Ueda, Takayuki Murase, Toyohiro Tada, Mitsukuni Okabe, Masahiro Kikuchi, Akira Masaoka, Shigeo Nakamura and Meinoshin Okumura. Their work appears in journals such as Histopathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Cancer, Modern Pathology and American Journal of Clinical Pathology.

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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