Yasuhiro Ebihara

5.2k citations
151 papers · 3.9k · h-index 35

Impact in

  • Hematology top 0.5%
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Genetics top 1%
    • Mesenchymal stem cell research

Papers in

    • Hematopoietic Stem Cell Transplantation 32
    • Acute Myeloid Leukemia Research 16
    • Platelet Disorders and Treatments 8

Yasuhiro Ebihara

139 papers receiving 3.9k citations

Peers

Yasuhiro Ebihara
Comparison fields: 5 of 110
  • Hematology 1.2k
  • Genetics 583
  • Immunology 956
  • Otorhinolaryngology 165
  • Oncology 766
Replace Izhar Hardan with:
Izhar Hardan Israel
Ugo Ramenghi Italy
Tomokatsu Ikawa Japan
Jordi Yagüe Spain
Eric Lagasse United States
Shadmehr Demehri United States
Kay Klapproth Germany
Igor Resnick Israel
Wolf‐Karsten Hofmann Germany
Fawzia Louache France
Yasuhiro Ebihara relative to Izhar Hardan Israel Izhar Hardan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Yasuhiro Ebihara

Since Specialization
Citations

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

Fields of papers citing papers by Yasuhiro Ebihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000234
2 1997152
3 2008137
4 1995136
5 2006135
6 1998135
7 2001135
8 2000113
9 1996107
10 1997101
11 2006100
12 2001100
13 200186
14 200686
15 200483
16 200077
17 200376
18 199675
19 199668
20 201960

About Yasuhiro Ebihara

Yasuhiro Ebihara is a scholar working on Hematology, Oncology, Immunology, Molecular Biology and Surgery, having authored 151 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (32 papers), Acute Myeloid Leukemia Research (16 papers), Head and Neck Cancer Studies (15 papers), Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (10 papers), Blood disorders and treatments (9 papers), Platelet Disorders and Treatments (8 papers) and Pluripotent Stem Cells Research (8 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (583 citations), Immunology (956 citations), Otorhinolaryngology (165 citations) and Oncology (766 citations). Yasuhiro Ebihara has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Kohichiro Tsuji, Tatsutoshi Nakahata, Ryuhei Tanaka, Atsushi Manabe, Kiyoshi Yasukawa, Feng‐Chun Yang, Mamoru Ito, Makio Ogawa, Shigetaka Asano and Ming-jiang Xu. Their work appears in journals such as Blood, Bone Marrow Transplantation, British Journal of Haematology, International Journal of Hematology and Acta Oto-Laryngologica.

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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