Toru Kiguchi

2.0k citations
47 papers · 421 · h-index 12

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
    • Blood Coagulation and Thrombosis Mechanisms
    • Viral-associated cancers and disorders

Papers in

    • Acute Myeloid Leukemia Research 10
    • Chronic Myeloid Leukemia Treatments 8
    • Multiple Myeloma Research and Treatments 4
    • Retinoids in leukemia and cellular processes 5

Toru Kiguchi

41 papers receiving 412 citations

Peers

Toru Kiguchi
Comparison fields: 5 of 76
  • Hematology 123
  • Oncology 151
  • Genetics 51
  • Pathology and Forensic Medicine 56
  • Hepatology 24
Replace Umut Dişel with:
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Panagiota Matsouka Greece
Amr Hanbali United States
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Citations per field
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Citations per year

Countries citing papers authored by Toru Kiguchi

Since Specialization
Citations

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

Fields of papers citing papers by Toru Kiguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200349
2 200940
3 200233
4 201628
5 200228
6 201627
7 201724
8 200223
9 201422
10 200114
11 200713
12 200912
13 201810
14 202210
15 20187
16 20216
17 20016
18 20216
19 20195
20 20195

About Toru Kiguchi

Toru Kiguchi is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 47 papers that have together received 421 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (15 papers), Acute Myeloid Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Retinoids in leukemia and cellular processes (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Multiple Myeloma Research and Treatments (4 papers) and Peptidase Inhibition and Analysis (4 papers). The work is most often cited by research in Hematology (123 citations), Oncology (151 citations), Genetics (51 citations), Pathology and Forensic Medicine (56 citations) and Hepatology (24 citations). Toru Kiguchi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Kenji Niiya, Fumihiko Ishimaru, Misako Shibakura, Mitsune Tanimoto, Kazuma Ikeda, Katsuji Shinagawa, Kazuma Ohyashiki, Mine Harada, Yasunari Nakata and Masami Niiya. Their work appears in journals such as International Journal of Hematology, Blood, International Journal of Cancer, International Journal of Clinical Oncology 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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