Tomoya Maeda

652 citations
45 papers · 437 · h-index 14

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
    • Polyomavirus and related diseases

Papers in

    • Acute Myeloid Leukemia Research 13
    • Chronic Myeloid Leukemia Treatments 9
    • Hematopoietic Stem Cell Transplantation 5

Tomoya Maeda

38 papers receiving 428 citations

Peers

Tomoya Maeda
Comparison fields: 5 of 73
  • Hematology 198
  • Oncology 126
  • Genetics 45
  • Public Health, Environmental and Occupational Health 90
  • Pathology and Forensic Medicine 37
Replace Liam Whitby with:
Liam Whitby United Kingdom
Marion Eveillard France
Mónica Ballesteros Spain
David Martínez‐Cuadrón Spain
Ann Stuart United States
Joaquín Sánchez‐García Spain
Koki Ueda Japan
Jassada Buaboonnam Thailand
Andreas Grüneisen Germany
Odelia Amit Israel
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Citations per field
00.5×1.5×2.3×
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Citations per year

Countries citing papers authored by Tomoya Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Tomoya Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199760
2 201338
3 202036
4 201830
5 200423
6 201722
7 201222
8 200720
9 201720
10 200120
11 201217
12 200717
13 202015
14 201513
15 199112
16 201410
17 20139
18 20209
19 20246
20 20203

About Tomoya Maeda

Tomoya Maeda is a scholar working on Hematology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 45 papers that have together received 437 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Lymphoblastic Leukemia research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Eosinophilic Disorders and Syndromes (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (198 citations), Oncology (126 citations), Genetics (45 citations), Public Health, Environmental and Occupational Health (90 citations) and Pathology and Forensic Medicine (37 citations). Tomoya Maeda has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Maho Ishikawa, Masami Bessho, Fumiharu Yagasaki, Yasushi Miyazaki, Norio Asou, Shigeki Ohtake, Kaori Tanaka, M Kawakami, Takahiro Karasuno and T Masaoka. Their work appears in journals such as International Journal of Hematology, Blood, Journal of Clinical and Experimental Hematopathology, Annals of Hematology and Leukemia Research.

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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