Tohru Iseki

2.0k citations
70 papers · 1.3k indexed · h-index 18
  • Hematology top 1%
    • Hematopoietic Stem Cell Transplantation 36
    • Acute Myeloid Leukemia Research 16
  • Genetics top 5%
  • Oncology top 10%
    • Polyomavirus and related diseases 12
    • Viral-associated cancers and disorders 5
    • Neutropenia and Cancer Infections 5
  • Immunology top 10%
    • Immune Cell Function and Interaction 8
    • Cytomegalovirus and herpesvirus research 11
    • Peripheral Neuropathies and Disorders 4

Tohru Iseki

68 papers receiving 1.3k citations

Peers

Tohru Iseki
Comparison fields: 5 of 67
  • Hematology 986
  • Genetics 338
  • Oncology 354
  • Transplantation 32
  • Immunology 243
Replace Alessandra Sperotto with:
Alessandra Sperotto Italy
Jun Ooi Japan
JE Wagner United States
Tomoaki Fujisaki Japan
Luisa Giaccone Italy
HG Braine United States
Fumitaka Nagamura Japan
Toshiki Yamada Japan
DS Snyder United States
J. Mittermüller Germany
Tohru Iseki relative to Alessandra Sperotto Italy Alessandra Sperotto's profile →
Citations per field
00.5×1.5×
Alessandra Sperotto · 1×
Citations per year

Countries citing papers authored by Tohru Iseki

Since Specialization
Citations

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

Fields of papers citing papers by Tohru Iseki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20213
3 20212
4 20206
5 20205
6 201817
7 201823
8 201829
9 20182
10 201760
11 20155
12 20145
13 201111
14 20089
15 200842
16 200613
17 20055
18 20046
19 20023
20 200122

About Tohru Iseki

Tohru Iseki is a scholar working on Hematology, Oncology and Immunology, having authored 70 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (36 papers), Acute Myeloid Leukemia Research (16 papers), Polyomavirus and related diseases (12 papers), Cytomegalovirus and herpesvirus research (11 papers), Immune Cell Function and Interaction (8 papers), Viral-associated cancers and disorders (5 papers), Neutropenia and Cancer Infections (5 papers) and Peripheral Neuropathies and Disorders (4 papers). The work is most often cited by research in Hematology (986 citations), Genetics (338 citations) and Oncology (354 citations). Tohru Iseki has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Arinobu Tojo, Jun Ooi, Akira Tomonari, Shigetaka Asano, Satoshi Takahashi, Kashiya Takasugi, Kaoru Uchimaru, Kenzaburo Tani, Fumitaka Nagamura and Takuhiro Yamaguchi. Their work appears in journals such as Blood, Clinical Cancer Research and International Journal of Molecular Sciences.

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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