J.-i. Tamaru

1.2k total citations
12 papers, 898 citations indexed

About

J.-i. Tamaru is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, J.-i. Tamaru has authored 12 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 6 papers in Oncology and 5 papers in Genetics. Recurrent topics in J.-i. Tamaru's work include Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). J.-i. Tamaru is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Viral-associated cancers and disorders (5 papers) and Chronic Lymphocytic Leukemia Research (3 papers). J.-i. Tamaru collaborates with scholars based in Japan and United States. J.-i. Tamaru's co-authors include Tsutomu Takeuchi, Shigeki Fujita, Itsuko Nakamichi, S. Nakatsuka, Yoshihiko Hoshida, Jun Ikeda, Y. Tomita, Katsuyuki Aozasa, Ritsuro Suzuki and Motoko Yamaguchi and has published in prestigious journals such as Blood, Annals of Oncology and Lara D. Veeken.

In The Last Decade

J.-i. Tamaru

12 papers receiving 873 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.-i. Tamaru Japan 10 647 553 305 161 111 12 898
Jens Krugmann Austria 18 432 0.7× 402 0.7× 229 0.8× 88 0.5× 156 1.4× 41 857
Mark A. Arnesen United States 11 573 0.9× 445 0.8× 397 1.3× 79 0.5× 235 2.1× 12 1.2k
P Coser Italy 15 324 0.5× 339 0.6× 215 0.7× 116 0.7× 149 1.3× 38 914
Jooryung Huh South Korea 20 772 1.2× 627 1.1× 166 0.5× 199 1.2× 138 1.2× 54 1.2k
Junichi Kiyasu Japan 16 790 1.2× 739 1.3× 313 1.0× 158 1.0× 99 0.9× 40 1.2k
Eulogio Conde Spain 15 534 0.8× 408 0.7× 186 0.6× 146 0.9× 148 1.3× 43 869
Pascale De Paepe Belgium 15 564 0.9× 387 0.7× 285 0.9× 84 0.5× 268 2.4× 36 999
SH Nantel Canada 13 366 0.6× 283 0.5× 268 0.9× 143 0.9× 57 0.5× 20 847
Ioannis Anagnostopoulos Germany 12 984 1.5× 797 1.4× 247 0.8× 424 2.6× 46 0.4× 13 1.2k
Silvia Govi Italy 18 929 1.4× 400 0.7× 288 0.9× 431 2.7× 63 0.6× 37 1.2k

Countries citing papers authored by J.-i. Tamaru

Since Specialization
Citations

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

Fields of papers citing papers by J.-i. Tamaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-i. Tamaru. 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 J.-i. Tamaru. The network helps show where J.-i. Tamaru may publish in the future.

Co-authorship network of co-authors of J.-i. Tamaru

This figure shows the co-authorship network connecting the top 25 collaborators of J.-i. Tamaru. A scholar is included among the top collaborators of J.-i. Tamaru 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 J.-i. Tamaru. J.-i. Tamaru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Miyazaki, Kana, Motoko Yamaguchi, Ritsuro Suzuki, et al.. (2011). CD5-positive diffuse large B-cell lymphoma: a retrospective study in 337 patients treated by chemotherapy with or without rituximab. Annals of Oncology. 22(7). 1601–1607. 90 indexed citations
2.
Niitsu, Nozomi, Masanori Okamoto, J.-i. Tamaru, et al.. (2010). Clinicopathologic characteristics and treatment outcome of the addition of rituximab to chemotherapy for CD5-positive in comparison with CD5-negative diffuse large B-cell lymphoma. Annals of Oncology. 21(10). 2069–2074. 45 indexed citations
3.
4.
Niitsu, Nozomi, Hirokazu Nakamine, Masanori Okamoto, J.-i. Tamaru, & M Hirano. (2008). A clinicopathological study of nm23-H1 expression in classical Hodgkin’s lymphoma. Annals of Oncology. 19(11). 1941–1946. 17 indexed citations
5.
Yamaguchi, Motoko, Naoya Nakamura, Ritsuro Suzuki, et al.. (2008). De novo CD5+ diffuse large B-cell lymphoma: results of a detailed clinicopathological review in 120 patients. Haematologica. 93(8). 1195–1202. 86 indexed citations
6.
Itoh, Kazuyuki, et al.. (2008). Acquired C1-esterase inhibitor deficiency and positive lupus anticoagulant accompanied by splenic marginal zone B-cell lymphoma.. PubMed. 25(4). 627–9. 7 indexed citations
7.
Hoshida, Yoshihiko, Shigeki Fujita, Itsuko Nakamichi, et al.. (2007). Lymphoproliferative disorders in rheumatoid arthritis: clinicopathological analysis of 76 cases in relation to methotrexate medication.. PubMed. 34(2). 322–31. 269 indexed citations
8.
Niitsu, Nozomi, Hirokazu Nakamine, Mika Kohri, et al.. (2003). Primary gastric T-cell lymphoma not associated with human T-lymphotropic virus type I: a case report and review of the literature. Annals of Hematology. 82(3). 197–202. 11 indexed citations
9.
10.
Ueda, Takeshi, Tomohiko Ichikawa, J.-i. Tamaru, et al.. (1996). Expression of the KAI1 protein in benign prostatic hyperplasia and prostate cancer.. PubMed. 149(5). 1435–40. 74 indexed citations
11.
Tamaru, J.-i., Mary Hummel, Atsuo Mikata, & H Stein. (1996). [Hodgkin's disease: the origin of HRS (Hodgkin and Reed-Sternberg) cells].. PubMed. 37(5). 426–9. 1 indexed citations
12.
K, Oda, J.-i. Tamaru, Toshinao Takenouchi, et al.. (1993). Association of Epstein-Barr virus with gastric carcinoma with lymphoid stroma.. PubMed. 143(4). 1063–71. 123 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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