Akihisa Kanamaru

3.3k citations
100 papers · 2.4k indexed · h-index 22
  • Hematology top 1%
    • Acute Myeloid Leukemia Research 14
    • Hematopoietic Stem Cell Transplantation 13
  • Immunology top 2%
    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 8
    • T-cell and Retrovirus Studies 7
  • Nephrology top 5%
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research 9
  • Oncology top 5%
    • Neutropenia and Cancer Infections 9
    • Lymphoma Diagnosis and Treatment 16

Akihisa Kanamaru

96 papers receiving 2.4k citations

Peers

Akihisa Kanamaru
Comparison fields: 5 of 106
  • Hematology 661
  • Immunology 1.0k
  • Nephrology 210
  • Genetics 311
  • Oncology 762
Replace Bernard Rio with:
Bernard Rio France
Fleur Bossi Italy
Roberta Bulla Italy
Satoshi Hashino Japan
Masahiro Imamura Japan
Günther Gastl Austria
Hiroko Tanaka Japan
Akihiko Numata Japan
Carlo E. Grossi Italy
Atsushi Wake Japan
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Citations per field
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Citations per year

Countries citing papers authored by Akihisa Kanamaru

Since Specialization
Citations

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

Fields of papers citing papers by Akihisa Kanamaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201415
2 201113
3 201013
4 201037
5 200932
6 20098
7
[Iron deficiency anemia].
20082
8 200816
9 20070
10 20073
11 200718
12 200520
13 2004186
14 200461
15 200376
16 2003205
17 200312
18 20027
19 19934
20 19927

About Akihisa Kanamaru

Akihisa Kanamaru is a scholar working on Hematology, Genetics and Immunology, having authored 100 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Acute Myeloid Leukemia Research (14 papers), Hematopoietic Stem Cell Transplantation (13 papers), Chronic Lymphocytic Leukemia Research (9 papers), Neutropenia and Cancer Infections (9 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (8 papers) and T-cell and Retrovirus Studies (7 papers). The work is most often cited by research in Hematology (661 citations), Immunology (1.0k citations) and Nephrology (210 citations). Akihisa Kanamaru has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Takashi Nakayama, Kunio Hieshima, Osamu Yoshie, Youichi Tatsumi, Dai Izawa, Hitoshi Hanamoto, Yasuhiro Maeda, Katsuyuki Aozasa, Mitsuhiro Omine and Yuzuru Kanakura. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

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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