Hiroto Kojima

657 citations
22 papers · 327 · h-index 8

Impact in

  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses

Papers in

    • Immune Cell Function and Interaction 10
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 3
    • Complement system in diseases 2
    • Hematopoietic Stem Cell Transplantation 7
    • Chronic Myeloid Leukemia Treatments 2
    • Blood groups and transfusion 2

Hiroto Kojima

22 papers receiving 321 citations

Peers

Hiroto Kojima
Comparison fields: 5 of 59
  • Hematology 96
  • Immunology 157
  • Transplantation 19
  • Rheumatology 46
  • Genetics 29
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Kevin Hadi United States
Catharina Schütz Germany
Rita I Azevedo Portugal
Steven A. Corfe Canada
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Philippe Pellet France
Wesley M. Marin United States
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Citations per field
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Citations per year

Countries citing papers authored by Hiroto Kojima

Since Specialization
Citations

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

Fields of papers citing papers by Hiroto Kojima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 201768
3 201627
4 201826
5 201715
6 201513
7 20158
8 20197
9 20196
10 20206
11 20185
12 20195
13 20135
14 20155
15 20164
16 20182
17 20192
18 20161
19 20171
20 20201

About Hiroto Kojima

Hiroto Kojima is a scholar working on Immunology, Hematology, Oncology, Pharmacology and Pathology and Forensic Medicine, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (8 papers), Hematopoietic Stem Cell Transplantation (7 papers), CAR-T cell therapy research (3 papers), Immunotherapy and Immune Responses (3 papers), Complement system in diseases (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Hematology (96 citations), Immunology (157 citations), Transplantation (19 citations), Rheumatology (46 citations) and Genetics (29 citations). Hiroto Kojima has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Hidenori Tanaka, Hiroh Saji, Yuki Miyazaki, Takuya Tsujino, Kosuke Hayashi, Masanori Nishikawa, Yoichiro Kusunoki, Noriyuki Fujii, Derek Middleton and Masaki Miyazaki. Their work appears in journals such as Biology of Blood and Marrow Transplantation, International Journal of Hematology, Bone Marrow Transplantation, Sleep Medicine and Scientific Reports.

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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