Yoji Ishida

1.8k citations
86 papers · 890 indexed · h-index 17

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Platelet Disorders and Treatments 15
    • Acute Myeloid Leukemia Research 9
    • Chronic Myeloid Leukemia Treatments 9
    • Chronic Lymphocytic Leukemia Research 13

Yoji Ishida

79 papers receiving 868 citations

Peers

Yoji Ishida
Comparison fields: 5 of 98
  • Hematology 344
  • Genetics 160
  • Immunology 181
  • Oncology 168
  • Pathology and Forensic Medicine 94
Replace Zuojun Xu with:
Zuojun Xu China
Heidi Trusheim Germany
L. Contu Italy
MG Roncarolo France
M.N. Cauchi Australia
Claude Kasten-Sportès United States
Norimasa Yasuda Japan
Emilia Stellacci Italy
Hedy Smith United States
Aaron R. Ellison United States
Yoji Ishida relative to Zuojun Xu China Zuojun Xu's profile →
Citations per field
00.5×1.5×2.2×
Zuojun Xu · 1×
Citations per year

Countries citing papers authored by Yoji Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Yoji Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202131
2 201619
3 201515
4 20140
5 201324
6 20128
7 20118
8 20085
9 200712
10 20057
11 20046
12 200311
13 200310
14 20031
15 20014
16 19951
17 19928
18 19924
19 198939
20
Clinical and Biochemical Studies
198113

About Yoji Ishida

Yoji Ishida is a scholar working on Hematology, Genetics, Oncology, Immunology and Pathology and Forensic Medicine, having authored 86 papers that have together received 890 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (15 papers), Chronic Lymphocytic Leukemia Research (13 papers), Lymphoma Diagnosis and Treatment (12 papers), T-cell and Retrovirus Studies (9 papers), Viral-associated cancers and disorders (9 papers), Acute Myeloid Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (9 papers) and Erythrocyte Function and Pathophysiology (8 papers). The work is most often cited by research in Hematology (344 citations), Genetics (160 citations), Immunology (181 citations), Oncology (168 citations) and Pathology and Forensic Medicine (94 citations). Yoji Ishida has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigeki Ito, Kazunori Murai, Shugo Kowata, Tatsuo Oyake, S Kuriya, Akira Kurose, Kohsuke Sasaki, Toshio Kaneko, Toshiharu Ito and Noboru Matsumoto. Their work appears in journals such as Blood, International Journal of Hematology, Leukemia Research, American Journal of Hematology and European 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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