Kensuke Ohta

3.4k citations
108 papers · 2.7k · h-index 25

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 10
    • Multiple Myeloma Research and Treatments 8
    • Acute Myeloid Leukemia Research 7

Kensuke Ohta

102 papers receiving 2.6k citations

Peers

Kensuke Ohta
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 853
  • Hematology 427
  • Genetics 303
  • Transplantation 48
  • Nephrology 118
Replace Hetty C. de Boer with:
Hetty C. de Boer Netherlands
Karen Hamilton United States
Giuseppe Montrucchio Italy
Changgeng Ruan China
Nicole L. Glazer United States
P Pritzl United States
Bernd Hohenstein Germany
Atsushi Izawa Japan
Jacob Fog Bentzon Denmark
Nicoletta Ronda Italy
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Citations per field
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Hetty C. de Boer · 1×
Citations per year

Countries citing papers authored by Kensuke Ohta

Since Specialization
Citations

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

Fields of papers citing papers by Kensuke Ohta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995211
2 2000200
3 2005187
4 2005179
5 1995136
6 1994115
7 2008106
8 1995105
9 200396
10 200677
11 199476
12 200375
13 199672
14 199660
15 200055
16 200951
17 199547
18 200343
19 201642
20 200341

About Kensuke Ohta

Kensuke Ohta is a scholar working on Hematology, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Physiology, having authored 108 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (10 papers), Hematological disorders and diagnostics (9 papers), Multiple Myeloma Research and Treatments (8 papers), Renin-Angiotensin System Studies (8 papers), Lymphoma Diagnosis and Treatment (8 papers), Neutropenia and Cancer Infections (7 papers), Acute Myeloid Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (853 citations), Hematology (427 citations), Genetics (303 citations), Transplantation (48 citations) and Nephrology (118 citations). Kensuke Ohta has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Masayuki Hino, Takahisa Yamane, Hiroshi Iwao, Akinori Hamaguchi, Tokihito Yukimura, Shokei Kim, Katsuyuki Miura, Noriyuki Tatsumi, Hirohisa Nakamae and Takashi Omura. Their work appears in journals such as Blood, Acta Haematologica, Annals of Hematology, International Journal of Hematology and Journal of Clinical Laboratory Analysis.

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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