Masaaki Kume

766 citations
27 papers · 543 indexed · h-index 11
Topics
Lymphoma Diagnosis and Treatment (9 papers)Chronic Lymphocytic Leukemia Research (7 papers)Acute Myeloid Leukemia Research (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONELeukemia
Partner nations
JapanCanada

In The Last Decade

Masaaki Kume

25 papers receiving 533 citations

Peers

Masaaki Kume
Comparison fields: 5 of 59
  • Molecular Biology 242
  • Hematology 240
  • Immunology 143
  • Cancer Research 134
  • Pathology and Forensic Medicine 123
Replace C. R. Bartram with:
C. R. Bartram Germany
Yoshihito Hayami Japan
Bruce Petersen United States
Cristina Rosanda Italy
E. Renate Panzer-Grümayer Austria
Prapti A. Patel United States
Monika Klimkowska Sweden
Franz Martin Fink Austria
Caner Saygin United States
S Raimondi United States
Masaaki Kume relative to C. R. Bartram Germany C. R. Bartram's profile →
Citations per field
00.5×1.5×2.2×
C. R. Bartram · 1×
Citations per year

Countries citing papers authored by Masaaki Kume

Since Specialization
Citations

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

Fields of papers citing papers by Masaaki Kume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaaki Kume

This figure shows the co-authorship network connecting the top 25 collaborators of Masaaki Kume. A scholar is included among the top collaborators of Masaaki Kume 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 Masaaki Kume. Masaaki Kume 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 2
2 0
3 30
4 15
5 46
6 8
7 6
8 0
9 137
10 9
11 7
12 8
13 26
14 124
15 5
16 16
17 31
18
[Autologous peripheral blood stem cell transplantation for CHOP-resistant mediastinal diffuse large B-cell lymphoma].
1
19 18
20 3

About Masaaki Kume

Masaaki Kume is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 27 papers that have together received 543 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Myeloid Leukemia Research (4 papers). The work is most often cited by research in Hematology (240 citations), Cancer Research (134 citations) and Genetics (94 citations). Masaaki Kume has collaborated with scholars based in Japan and Canada. Frequent co-authors include Naoto Takahashi, Akira Miura, Yoshiaki Hatano, Kazuaki Teshima, Naoto Takahashi, Yoshinari Kawabata, Yoshikazu Ichikawa, Keiko Iwamoto, Ikuo Miura and Miho Nara. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Leukemia.

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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