Tadaaki Eimoto

5.8k citations
120 papers · 4.3k indexed · h-index 35

Impact in

Papers in

Tadaaki Eimoto

119 papers receiving 4.2k citations

Peers

Tadaaki Eimoto
Comparison fields: 5 of 115
  • Neurology 1.4k
  • Pathology and Forensic Medicine 1.1k
  • Dermatology 392
  • Oncology 1.2k
  • Endocrinology, Diabetes and Metabolism 632
Replace Edoardo Pescarmona with:
Edoardo Pescarmona Italy
Jerome S. Burke United States
Giorgio Palestro Italy
Rikuo Machinami Japan
P G Isaacson United Kingdom
Shigeo Yokoyama Japan
Jay H. Beckstead United States
Sean K. Lau United States
Taizan Suchi Japan
Yasuhiko Kaneko Japan
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-authorship network

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
#Work
1 20144
2 20087
3 200839
4 200320
5 20037
6 200281
7 200269
8 20013
9 2001126
10 200144
11 200122
12 200194
13 200015
14 19981
15 19981
16 199713
17 199624
18 199316
19 19907
20
Vacuolated meningioma. A light and electron microscopic study.
197732

About Tadaaki Eimoto

Tadaaki Eimoto is a scholar working on Neurology, Pathology and Forensic Medicine, Oncology, Rheumatology and Dermatology, having authored 120 papers that have together received 4.3k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (23 papers), Lymphoma Diagnosis and Treatment (23 papers), Sarcoma Diagnosis and Treatment (10 papers), T-cell and Retrovirus Studies (9 papers), Salivary Gland Tumors Diagnosis and Treatment (9 papers), Pituitary Gland Disorders and Treatments (8 papers), Viral-associated cancers and disorders (8 papers) and Meningioma and schwannoma management (8 papers). The work is most often cited by research in Neurology (1.4k citations), Pathology and Forensic Medicine (1.1k citations), Dermatology (392 citations), Oncology (1.2k citations) and Endocrinology, Diabetes and Metabolism (632 citations). Tadaaki Eimoto has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Hisashi Tateyama, Hiroshi Inagaki, Ryuzo Ueda, Takayuki Murase, Mitsukuni Okabe, Akira Masaoka, Shigeo Nakamura, Masahiro Kikuchi, Toyohiro Tada 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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