Takashi Sonoki

2.4k citations
120 papers · 2.0k · h-index 18

Impact in

  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 12
    • Acute Myeloid Leukemia Research 12
    • Platelet Disorders and Treatments 9
    • Hematopoietic Stem Cell Transplantation 9
    • Chronic Lymphocytic Leukemia Research 19

Takashi Sonoki

108 papers receiving 1.9k citations

Peers

Takashi Sonoki
Comparison fields: 5 of 99
  • Genetics 320
  • Hematology 301
  • Pathology and Forensic Medicine 417
  • Cancer Research 306
  • Immunology 440
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Raymond Hin-Suen Liang United States
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Charles Edo de Bock Australia
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Citations per field
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Raymond Hin-Suen Liang · 1×
Citations per year

Countries citing papers authored by Takashi Sonoki

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Sonoki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001270
2 1996216
3 1997199
4 2002189
5 2001108
6 200594
7 201174
8 200660
9 199557
10 200146
11 199843
12 200532
13 202132
14
Establishment of a CD45-positive immature plasma cell line from an aggressive multiple myeloma with high serum lactate dehydrogenase.
199429
15 201128
16 200426
17 200224
18 201219
19 200818
20 199918

About Takashi Sonoki

Takashi Sonoki is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Immunology, having authored 120 papers that have together received 2.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (28 papers), Chronic Lymphocytic Leukemia Research (19 papers), Viral-associated cancers and disorders (19 papers), Multiple Myeloma Research and Treatments (12 papers), Acute Myeloid Leukemia Research (12 papers), Platelet Disorders and Treatments (9 papers), CNS Lymphoma Diagnosis and Treatment (9 papers) and Hematopoietic Stem Cell Transplantation (9 papers). The work is most often cited by research in Genetics (320 citations), Hematology (301 citations), Pathology and Forensic Medicine (417 citations), Cancer Research (306 citations) and Immunology (440 citations). Takashi Sonoki has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Akitoshi Nagasaki, Tomomi Gotoh, Masataka Mori, Masaki Takiguchi, Reiner Siebert, Martin Dyer, Stefan Gesk, Lana L. Harder, Brigitte Schlegelberger and Hiroaki Mitsuya. Their work appears in journals such as International Journal of Hematology, Leukemia, Acta Haematologica, Blood 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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