Tetsuo Maeda

2.4k citations
142 papers · 1.8k indexed · h-index 24

Tetsuo Maeda

128 papers receiving 1.7k citations

Peers

Tetsuo Maeda
Comparison fields: 5 of 98
  • Obstetrics and Gynecology 424
  • Reproductive Medicine 267
  • Hepatology 145
  • Radiology, Nuclear Medicine and Imaging 377
  • Hematology 158
Replace Carin F. Gonsalves with:
Carin F. Gonsalves United States
Marco A. Amendola United States
Michaël Bubenheim France
Sara Apter Israel
Seong Tai Hahn South Korea
Peter Huppert Germany
Jae Young Byun South Korea
Eoghan E. Mooney Ireland
Terue Okamura Japan
Chitra Viswanathan United States
Tetsuo Maeda relative to Carin F. Gonsalves United States Carin F. Gonsalves's profile →
Citations per field
00.5×2.7×
Carin F. Gonsalves · 1×
Citations per year

Countries citing papers authored by Tetsuo Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuo Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 201823
5 20154
6 201412
7 20144
8 201376
9 20120
10 20121
11 201230
12 201115
13 20112
14 20101
15 20094
16 20064
17 20059
18 200521
19 19981
20 19962

About Tetsuo Maeda

Tetsuo Maeda is a scholar working on Obstetrics and Gynecology, Hematology, Reproductive Medicine, Rheumatology and Neurology, having authored 142 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (11 papers), Endometrial and Cervical Cancer Treatments (11 papers), Ovarian cancer diagnosis and treatment (10 papers), Sarcoma Diagnosis and Treatment (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Viral-associated cancers and disorders (8 papers), MRI in cancer diagnosis (7 papers) and Endometriosis Research and Treatment (7 papers). The work is most often cited by research in Obstetrics and Gynecology (424 citations), Reproductive Medicine (267 citations), Hepatology (145 citations), Radiology, Nuclear Medicine and Imaging (377 citations) and Hematology (158 citations). Tetsuo Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kazuro Sugimura, Kazuhiro Kitajima, Yasuaki Arai, Ukihide Tateishi, Yoshiko Ueno, Hideto Yamada, Yuko Suenaga, Mototaka Miyake, Satoru Takahashi and Yasuhiko Ebina. Their work appears in journals such as International Journal of Hematology, Annals of Nuclear Medicine, American Journal of Roentgenology, International Journal of Urology and European Journal of Radiology.

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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