Keisei Kawa

7.0k citations
109 papers · 4.6k indexed · h-index 35
Topics
Hematopoietic Stem Cell Transplantation (37 papers)Viral-associated cancers and disorders (25 papers)Immune Cell Function and Interaction (21 papers)
Partner nations
JapanUnited StatesGreece

In The Last Decade

Keisei Kawa

109 papers receiving 4.6k citations

Peers

Keisei Kawa
Comparison fields: 5 of 95
  • Oncology 2.1k
  • Immunology 1.8k
  • Hematology 1.8k
  • Pathology and Forensic Medicine 1.2k
  • Infectious Diseases 636
Replace Norbert Frickhofen with:
Norbert Frickhofen Germany
V. Leblond France
Junichi Hara Japan
Douglas W. Kingma United States
Fiona E. Craig United States
Arnaud Jaccard France
Ulrike Pötschger Austria
Hugo Castro‐Malaspina United States
Véronique Leblond France
William G. Morice United States
Keisei Kawa relative to Norbert Frickhofen Germany Norbert Frickhofen's profile →
Citations per field
00.5×4.3×
Norbert Frickhofen · 1×
Citations per year

Countries citing papers authored by Keisei Kawa

Since Specialization
Citations

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

Fields of papers citing papers by Keisei Kawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisei Kawa

This figure shows the co-authorship network connecting the top 25 collaborators of Keisei Kawa. A scholar is included among the top collaborators of Keisei Kawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keisei Kawa. Keisei Kawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 111
3 77
4 6
5 240
6 26
7
[The unification of hematopoietic stem cell transplantation registry in Japan and establishment of the TRUMP system].
1
8 22
9 323
10 242
11 11
12 22
13 7
14 12
15 166
16 83
17
1
18 62
19 16
20
CHRONIC ACTIVE EPSTEIN-BARR VIRUS INFECTION AND LYMPHOPROLIFERATIVE DISEASES
7

About Keisei Kawa

Keisei Kawa is a scholar working on Hematology, Immunology and Oncology, having authored 109 papers that have together received 4.6k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (37 papers), Viral-associated cancers and disorders (25 papers) and Immune Cell Function and Interaction (21 papers). The work is most often cited by research in Hematology (1.8k citations), Immunology (1.8k citations) and Oncology (2.1k citations). Keisei Kawa has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Hiroshi Kimura, Ritsuro Suzuki, Masami Inoue, Takayuki Okamura, Hirokazu Kanegane, Yoshiko Atsuta, Shigeo Nakamura, Akihisa Sawada, Kazuo Oshimi and Shouichi Ohga. Their work appears in journals such as The Journal of Experimental Medicine, Blood and Cancer.

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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