Ken Tabuchi

2.5k citations
54 papers · 1.7k · h-index 20

Impact in

  • Hematology top 0.5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Autoimmune and Inflammatory Disorders Research
    • Chronic Myeloid Leukemia Treatments

Papers in

Ken Tabuchi

51 papers receiving 1.6k citations

Peers

Ken Tabuchi
Comparison fields: 5 of 59
  • Hematology 1.3k
  • Transplantation 49
  • Genetics 186
  • Public Health, Environmental and Occupational Health 452
  • Immunology 336
Replace A. M. Stoppa with:
A. M. Stoppa France
Margit Mitterbauer Austria
Herrad Baurmann Germany
Petr Sedláček Czechia
PM Parker United States
Helmut Renges Germany
Atsushi Kikuta Japan
Édouard Forcade France
Wolfram Pönisch Germany
Nicole Gratecos France
Ken Tabuchi relative to A. M. Stoppa France A. M. Stoppa's profile →
Citations per field
00.5×2×4×6×8×
A. M. Stoppa · 1×
Citations per year

Countries citing papers authored by Ken Tabuchi

Since Specialization
Citations

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

Fields of papers citing papers by Ken Tabuchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007262
2 2007225
3 2009192
4 200997
5 200094
6 200773
7 200671
8 201751
9 200546
10 200645
11 200738
12 200637
13 201135
14 201233
15 201430
16 201030
17 201924
18 201023
19 201220
20 201220

About Ken Tabuchi

Ken Tabuchi is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Immunology, Oncology and Genetics, having authored 54 papers that have together received 1.7k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (29 papers), Hematopoietic Stem Cell Transplantation (25 papers), Acute Lymphoblastic Leukemia research (15 papers), Polyomavirus and related diseases (4 papers), Autoimmune and Inflammatory Disorders Research (3 papers), Renal and related cancers (3 papers), Blood disorders and treatments (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (1.3k citations), Transplantation (49 citations), Genetics (186 citations), Public Health, Environmental and Occupational Health (452 citations) and Immunology (336 citations). Ken Tabuchi has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masahiro Tsuchida, Ryoji Hanada, Shunichi Kato, Ryōji Kobayashi, Keizo Horibe, Ichiro Tsukimoto, Koji Kato, Hiromasa Yabe, Keisei Kawa and Y. Atsuta. Their work appears in journals such as British Journal of Haematology, International Journal of Hematology, Pediatric Blood & Cancer, Bone Marrow Transplantation 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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