Takashi Sonoki

2.3k citations
98 papers · 1.6k · h-index 18

Impact in

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

Papers in

    • Multiple Myeloma Research and Treatments 11
    • Acute Myeloid Leukemia Research 9
    • Hematopoietic Stem Cell Transplantation 7
    • Platelet Disorders and Treatments 6
    • Viral-associated cancers and disorders 18

Takashi Sonoki

84 papers receiving 1.6k citations

Peers

Takashi Sonoki
Comparison fields: 5 of 99
  • Genetics 265
  • Hematology 253
  • Immunology 410
  • Pathology and Forensic Medicine 348
  • Biochemistry 129
Replace Raymond Liang with:
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Citations per field
00.5×6.8×
Raymond 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 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001242
2 1996206
3 1997190
4 2002166
5 200188
6 201171
7 200655
8 199553
9 199841
10 200141
11 200532
12 202129
13
Establishment of a CD45-positive immature plasma cell line from an aggressive multiple myeloma with high serum lactate dehydrogenase.
199428
14 201127
15 200423
16 200220
17 199917
18 200817
19 199916
20 202116

About Takashi Sonoki

Takashi Sonoki is a scholar working on Hematology, Oncology, Pathology and Forensic Medicine, Molecular Biology and Genetics, having authored 98 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (18 papers), Chronic Lymphocytic Leukemia Research (17 papers), Multiple Myeloma Research and Treatments (11 papers), Acute Myeloid Leukemia Research (9 papers), CNS Lymphoma Diagnosis and Treatment (8 papers), Hematopoietic Stem Cell Transplantation (7 papers) and Platelet Disorders and Treatments (6 papers). The work is most often cited by research in Genetics (265 citations), Hematology (253 citations), Immunology (410 citations), Pathology and Forensic Medicine (348 citations) and Biochemistry (129 citations). Takashi Sonoki has collaborated with scholars based in Japan, United Kingdom and Germany. Frequent co-authors include Akitoshi Nagasaki, Tomomi Gotoh, Masataka Mori, Masaki Takiguchi, Reiner Siebert, Martin J.S. Dyer, Stefan Gesk, Lana Harder, Brigitte Schlegelberger and Kazutoyo Terada. Their work appears in journals such as International Journal of Hematology, Leukemia, Acta Haematologica, Blood and Scientific Reports.

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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