Atsushi Wake

3.8k citations
130 papers · 2.2k · h-index 26

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 51
    • Acute Myeloid Leukemia Research 24
    • Chronic Myeloid Leukemia Treatments 10
    • T-cell and Retrovirus Studies 16
    • Immune Cell Function and Interaction 10

Atsushi Wake

111 papers receiving 2.2k citations

Peers

Atsushi Wake
Comparison fields: 5 of 88
  • Hematology 1.1k
  • Transplantation 88
  • Immunology 647
  • Genetics 236
  • Oncology 578
Replace Hisashi Gondo with:
Hisashi Gondo Japan
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Aaron S. Rosenberg United States
JG Gribben United States
Henrik Zetterquist Sweden
Minoko Takanashi Japan
Antonio Pierini Italy
Loren D. Fast United States
Motohiro Hamaguchi Japan
R.J. O’Reilly United States
Atsushi Wake relative to Hisashi Gondo Japan Hisashi Gondo's profile →
Citations per field
00.5×
Hisashi Gondo · 1×
Citations per year

Countries citing papers authored by Atsushi Wake

Since Specialization
Citations

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

Fields of papers citing papers by Atsushi Wake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010326
2 2010303
3 200586
4 200968
5 200866
6 199861
7 199655
8 199753
9 200545
10 200744
11 201641
12 201240
13 201640
14 201540
15 201139
16 201136
17 202135
18 200732
19 201231
20 200530

About Atsushi Wake

Atsushi Wake is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Epidemiology, having authored 130 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (51 papers), Acute Myeloid Leukemia Research (24 papers), T-cell and Retrovirus Studies (16 papers), Cytomegalovirus and herpesvirus research (14 papers), Acute Lymphoblastic Leukemia research (11 papers), Polyomavirus and related diseases (10 papers), Chronic Myeloid Leukemia Treatments (10 papers) and Immune Cell Function and Interaction (10 papers). The work is most often cited by research in Hematology (1.1k citations), Transplantation (88 citations), Immunology (647 citations), Genetics (236 citations) and Oncology (578 citations). Atsushi Wake has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shuichi Taniguchi, Naoyuki Uchida, Shinsuke Takagi, Leonard D. Shultz, Mariko Tomizawa-Murasawa, Satoshi Tanaka, Yuho Najima, Yoriko Saito, Nahoko Suzuki and Kazuhiro Masuoka. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, Bone Marrow Transplantation, International Journal of Hematology and British Journal of Haematology.

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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