Keiki Kumano

5.4k citations
70 papers · 3.8k indexed · h-index 34
  • Hematology top 1%
    • Acute Myeloid Leukemia Research 15
    • Hematopoietic Stem Cell Transplantation 9
    • Chronic Myeloid Leukemia Treatments 7
  • Immunology top 2%
  • Genetics top 2%
    • Virus-based gene therapy research 5
    • Zebrafish Biomedical Research Applications 6
    • Developmental Biology and Gene Regulation 13
    • Pluripotent Stem Cells Research 9
    • Epigenetics and DNA Methylation 6

Keiki Kumano

69 papers receiving 3.8k citations

Peers

Keiki Kumano
Comparison fields: 5 of 118
  • Hematology 832
  • Immunology 926
  • Genetics 357
  • Cell Biology 544
  • Molecular Biology 2.3k
Replace Xi He with:
Xi He United States
Richard Pannell United Kingdom
Jason A. Hackney United States
Rachel M. Gerstein United States
Ute Koch Switzerland
Beverly A. Mock United States
Bonnie Lyons United States
John H. McVey United Kingdom
Mitsujiro Osawa Japan
Vivienne I. Rebel United States
Keiki Kumano relative to Xi He United States Xi He's profile →
Citations per field
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Citations per year

Countries citing papers authored by Keiki Kumano

Since Specialization
Citations

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

Fields of papers citing papers by Keiki Kumano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 201830
3 201822
4 201535
5 20158
6 201470
7 201153
8 20102
9 200941
10 200922
11 20098
12 200923
13 2009105
14 200555
15 2003117
16 2003435
17 200235
18 200270
19 1999203
20 1992117

About Keiki Kumano

Keiki Kumano is a scholar working on Hematology, Genetics and Oncology, having authored 70 papers that have together received 3.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Developmental Biology and Gene Regulation (13 papers), Hematopoietic Stem Cell Transplantation (9 papers), Pluripotent Stem Cells Research (9 papers), Chronic Myeloid Leukemia Treatments (7 papers), Zebrafish Biomedical Research Applications (6 papers), Epigenetics and DNA Methylation (6 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Hematology (832 citations), Immunology (926 citations) and Genetics (357 citations). Keiki Kumano has collaborated with scholars based in Japan, United States and North Macedonia. Frequent co-authors include Shigeru Chiba, Hisamaru Hirai, Kiyoshí Shimizu, Mineo Kurokawa, Takashi Saito, Y. Hamada, Tokiharu Takahashi, Etsuko Nakagami‐Yamaguchi, Seishi Ogawa and Atsushi Kunisato. Their work appears in journals such as Blood, International Journal of Hematology, Scientific Reports, Bone Marrow Transplantation and Cancer Science.

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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