Takashi Sonoki

2.3k total citations
98 papers, 1.6k citations indexed

About

Takashi Sonoki is a scholar working on Hematology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Takashi Sonoki has authored 98 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Hematology, 26 papers in Oncology and 25 papers in Pathology and Forensic Medicine. Recurrent topics in Takashi Sonoki's work include Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (18 papers) and Chronic Lymphocytic Leukemia Research (17 papers). Takashi Sonoki is often cited by papers focused on Lymphoma Diagnosis and Treatment (22 papers), Viral-associated cancers and disorders (18 papers) and Chronic Lymphocytic Leukemia Research (17 papers). Takashi Sonoki collaborates with scholars based in Japan, United Kingdom and Germany. Takashi Sonoki's 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 and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Takashi Sonoki

84 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takashi Sonoki Japan 18 649 410 348 342 265 98 1.6k
Raymond Liang United States 20 937 1.4× 242 0.6× 171 0.5× 245 0.7× 275 1.0× 50 1.8k
Leonardo Vargas Sweden 18 746 1.1× 687 1.7× 210 0.6× 197 0.6× 518 2.0× 30 1.6k
Barbara K. Goodman United States 25 811 1.2× 149 0.4× 234 0.7× 193 0.6× 258 1.0× 48 1.5k
Takashi Machii Japan 25 621 1.0× 760 1.9× 269 0.8× 334 1.0× 427 1.6× 86 2.1k
Defen Shen United States 32 774 1.2× 442 1.1× 380 1.1× 359 1.0× 117 0.4× 74 2.4k
Christina Halsey United Kingdom 19 599 0.9× 176 0.4× 194 0.6× 238 0.7× 239 0.9× 36 1.3k
Rho Hyun Seong South Korea 28 1.6k 2.5× 718 1.8× 296 0.9× 281 0.8× 91 0.3× 106 2.5k
Takeshi Yamada Japan 21 587 0.9× 487 1.2× 104 0.3× 257 0.8× 56 0.2× 51 1.7k
Christophe F. Grosset France 22 930 1.4× 385 0.9× 91 0.3× 218 0.6× 175 0.7× 53 1.9k
Mercedes Garayoa Spain 29 1.4k 2.1× 286 0.7× 145 0.4× 760 2.2× 146 0.6× 70 2.3k

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-authorship network of co-authors of Takashi Sonoki

This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Sonoki. A scholar is included among the top collaborators of Takashi Sonoki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takashi Sonoki. Takashi Sonoki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Sonoki, Takashi, Yasunori Ueda, Shikiko Ueno, et al.. (2024). GUIDELINE FOR THE USE OF RED BLOOD CELL PRODUCTS BASED ON SCIENTIFIC EVIDENCE (REVISION THIRD EDITION). Japanese Journal of Transfusion and Cell Therapy. 70(6). 579–596.
5.
Tanaka, Ken, Hiroaki Miyoshi, Keisuke Kawamoto, et al.. (2023). Clinicopathological analysis of CD47 and signal regulatory protein alpha expression in myeloid sarcoma patients: CD47 expression is a favourable prognostic factor. Pathology. 56(1). 81–91. 2 indexed citations
7.
Sugiura, Reiko, Yasushi Itoh, Shunsuke Uehara, et al.. (2019). PKN1 kinase-negative knock-in mice develop splenomegaly and leukopenia at advanced age without obvious autoimmune-like phenotypes. Scientific Reports. 9(1). 13977–13977. 4 indexed citations
8.
Imadome, Ken‐Ichi, Shinobu Tamura, Shogo Murata, et al.. (2017). An Epstein-Barr virus susceptible immature T-cell line, WILL4, established from a patient with T-lymphoblastic lymphoma bearing CD21 and a clonal EBV genome. Leukemia Research. 55. 1–5. 1 indexed citations
9.
Tamura, Shinobu, Yusuke Yamashita, Michio Suzuki, et al.. (2017). Capnocytophaga canimorsus sepsis in a methotrexate-treated patient with rheumatoid arthritis. IDCases. 10. 18–21. 5 indexed citations
10.
Hanaoka, Nobuyoshi, Shogo Murata, Aiko Shimokado, et al.. (2015). B-Cell-Rich T-Cell Lymphoma Associated with Epstein-Barr Virus-Reactivation and T-Cell Suppression Following Antithymocyte Globulin Therapy in a Patient with Severe Aplastic Anemia. Hematology Reports. 7(3). 5906–5906. 3 indexed citations
11.
Sonoki, Takashi, et al.. (2013). Acute Leukemia Showing t(8;22)(p11;q11), Myelodysplasia, CD13/CD33/CD19 Expression and Immunoglobulin Heavy Chain Gene Rearrangement. Acta Haematologica. 129(4). 238–242. 11 indexed citations
12.
Oki, Toshihiko, Jiro Kitaura, Naoko Watanabe‐Okochi, et al.. (2011). Aberrant expression of RasGRP1 cooperates with gain-of-function NOTCH1 mutations in T-cell leukemogenesis. Leukemia. 26(5). 1038–1045. 27 indexed citations
13.
Enomoto, Yutaka, Jiro Kitaura, Kinta Hatakeyama, et al.. (2011). Eμ/miR-125b transgenic mice develop lethal B-cell malignancies. Leukemia. 25(12). 1849–1856. 71 indexed citations
14.
Uneda, Shima, Shogo Murata, Takashi Sonoki, Hiroshi Matsuoka, & Hideki Nakakuma. (2009). Successful treatment with liposomal doxorubicin for widespread Kaposi’s sarcoma and human herpesvirus-8 related severe hemophagocytic syndrome in a patient with acquired immunodeficiency syndrome. International Journal of Hematology. 89(2). 195–200. 7 indexed citations
15.
Uneda, Shima, Takashi Sonoki, Kazuhiro Nishida, et al.. (2008). Establishment of CD5 and CD10 double-positive mature B-cell line, WILL1, showing complex 8q24 translocation involving 14q32 and 6q27. International Journal of Hematology. 88(5). 536–542. 1 indexed citations
16.
Nakamura, Miki, Tomomi Gotoh, Yutaka Okuno, et al.. (2006). Activation of the endoplasmic reticulum stress pathway is associated with survival of myeloma cells. Leukemia & lymphoma. 47(3). 531–539. 55 indexed citations
17.
Karran, E. Loraine, Takashi Sonoki, & Martin J.S. Dyer. (2005). Cloning of Immunoglobulin Chromosomal Translocations by Long-Distance Inverse Polymerase Chain Reaction. PubMed. 115. 217–230. 2 indexed citations
18.
Kawakami, Keiki, Takashi Sonoki, Shigeo Nakamura, et al.. (2004). Case of B-Cell Lymphoma with Rearrangement of the BCL1, BCL2, BCL6, and c-MYC Genes. International Journal of Hematology. 79(5). 474–479. 10 indexed citations
19.
Küppers, Ralf, Takashi Sonoki, Ed Satterwhite, et al.. (2002). Lack of somatic hypermutation of IG VH genes in lymphoid malignancies with t(2;14)(p13;q32) translocation involving the BCL11A gene. Leukemia. 16(5). 937–939. 20 indexed citations
20.
Matsuzaki, Hiromitsu, Hiroyuki Hata, Minoru Yoshida, et al.. (1998). Multiple myeloma associated with serum amino acid disturbance and high output cardiac failure. American Journal of Hematology. 57(1). 77–81. 8 indexed citations

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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