Daisuke Kaji

744 citations
52 papers · 306 · h-index 11

Impact in

Papers in

    • Hematopoietic Stem Cell Transplantation 13
    • Acute Myeloid Leukemia Research 11
    • Chronic Myeloid Leukemia Treatments 4
    • Polyomavirus and related diseases 5
    • Viral-associated cancers and disorders 5

Daisuke Kaji

38 papers receiving 287 citations

Peers

Daisuke Kaji
Comparison fields: 5 of 63
  • Hematology 100
  • Pathology and Forensic Medicine 65
  • Oncology 95
  • Nephrology 20
  • Transplantation 7
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Citations per field
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Citations per year

Countries citing papers authored by Daisuke Kaji

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Kaji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201641
2 197637
3 202035
4 201427
5 202220
6 201518
7 201516
8
Serum creatinine in patients with spinal cord injury.
199014
9 201613
10 201711
11 201410
12 20208
13 20176
14 20205
15 20185
16 20214
17 20243
18 20203
19
[Herpes simplex virus type 2 fulminant hepatitis after umbilical cord blood transplantation for acute myeloid leukemia].
20143
20 20242

About Daisuke Kaji

Daisuke Kaji is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Genetics and Epidemiology, having authored 52 papers that have together received 306 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (13 papers), Acute Myeloid Leukemia Research (11 papers), Lymphoma Diagnosis and Treatment (10 papers), Polyomavirus and related diseases (5 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), Viral-associated cancers and disorders (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Hematology (100 citations), Pathology and Forensic Medicine (65 citations), Oncology (95 citations), Nephrology (20 citations) and Transplantation (7 citations). Daisuke Kaji has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Go Yamamoto, Shuichi Taniguchi, Yuki Asano‐Mori, Hisashi Yamamoto, Koji Izutsu, Yasunori Ota, Naoyuki Uchida, Kazuya Ishiwata, Shinsuke Takagi and Aya Nishida. Their work appears in journals such as Blood, Biology of Blood and Marrow Transplantation, International Journal of Hematology, Cancer Medicine and Transplantation and Cellular Therapy.

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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