Tomomitsu Hotta

9.3k citations
161 papers · 6.9k · h-index 38

Impact in

Papers in

Tomomitsu Hotta

156 papers receiving 6.7k citations

Peers

Tomomitsu Hotta
Comparison fields: 5 of 125
  • Genetics 1.4k
  • Pathology and Forensic Medicine 2.2k
  • Hematology 1.2k
  • Immunology 1.6k
  • Oncology 1.2k
Replace Shunichi Kato with:
Shunichi Kato Japan
Thomas Ritter Ireland
Giovanna Zambruno Italy
E. Kaiserling Germany
Hans‐Jörg Bühring Germany
Eugene A. Bauer United States
J L Cordell United Kingdom
Seiichi Hirota Japan
Leslie I. Gold United States
John S. Munger United States
Tomomitsu Hotta relative to Shunichi Kato Japan Shunichi Kato's profile →
Citations per field
00.5×4.9×
Shunichi Kato · 1×
Citations per year

Countries citing papers authored by Tomomitsu Hotta

Since Specialization
Citations

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

Fields of papers citing papers by Tomomitsu Hotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004453
2 2003346
3 2007338
4 2005309
5 2005296
6 2002280
7 2001263
8 2009246
9 1997230
10 2005226
11 1997211
12 2009188
13 2006175
14 2002153
15 2003145
16 1999135
17 2004129
18 1999109
19 2001108
20 2007101

About Tomomitsu Hotta

Tomomitsu Hotta is a scholar working on Hematology, Pathology and Forensic Medicine, Oncology, Genetics and Immunology, having authored 161 papers that have together received 6.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (41 papers), Hematopoietic Stem Cell Transplantation (26 papers), Immune Cell Function and Interaction (22 papers), Chronic Lymphocytic Leukemia Research (19 papers), Viral-associated cancers and disorders (18 papers), Acute Myeloid Leukemia Research (17 papers), Mesenchymal stem cell research (16 papers) and T-cell and Retrovirus Studies (11 papers). The work is most often cited by research in Genetics (1.4k citations), Pathology and Forensic Medicine (2.2k citations), Hematology (1.2k citations), Immunology (1.6k citations) and Oncology (1.2k citations). Tomomitsu Hotta has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Kiyoshi Ando, Daisuke Sakai, Joji Mochida, Shunichi Kato, Tomoko Nakai, Hidehiko Saito, Yoshihiko Nakamura, Tomohiro Kinoshita, Hiroshi Kawada and Toru Iwashina. Their work appears in journals such as Blood, International Journal of Hematology, Cancer Science, British Journal of Haematology and Experimental Hematology.

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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