Jun‐ichi Tamaru

2.2k total citations
108 papers, 1.5k citations indexed

About

Jun‐ichi Tamaru is a scholar working on Pathology and Forensic Medicine, Oncology and Genetics. According to data from OpenAlex, Jun‐ichi Tamaru has authored 108 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Pathology and Forensic Medicine, 44 papers in Oncology and 26 papers in Genetics. Recurrent topics in Jun‐ichi Tamaru's work include Lymphoma Diagnosis and Treatment (52 papers), Chronic Lymphocytic Leukemia Research (23 papers) and Viral-associated cancers and disorders (21 papers). Jun‐ichi Tamaru is often cited by papers focused on Lymphoma Diagnosis and Treatment (52 papers), Chronic Lymphocytic Leukemia Research (23 papers) and Viral-associated cancers and disorders (21 papers). Jun‐ichi Tamaru collaborates with scholars based in Japan, United States and Germany. Jun‐ichi Tamaru's co-authors include Shuji Momose, Michihide Tokuhira, Masahiro Kizaki, Morihiro Higashi, Michael Hummel, Shinji Itoyama, Hideyuki Ishida, Atsuo Mikata, Michael Zemlin and Hisao Ito and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer.

In The Last Decade

Jun‐ichi Tamaru

96 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun‐ichi Tamaru Japan 21 862 771 290 267 227 108 1.5k
Kenneth MacLennan United Kingdom 20 988 1.1× 712 0.9× 177 0.6× 237 0.9× 241 1.1× 43 1.6k
Girish Venkataraman United States 22 1.0k 1.2× 1.0k 1.3× 284 1.0× 434 1.6× 228 1.0× 84 2.0k
H K Müller‐Hermelink Germany 20 693 0.8× 496 0.6× 277 1.0× 228 0.9× 196 0.9× 30 1.2k
Olga Balagué Spain 22 827 1.0× 686 0.9× 127 0.4× 274 1.0× 202 0.9× 51 1.6k
Martin‐Leo Hansmann Germany 18 819 1.0× 530 0.7× 143 0.5× 258 1.0× 182 0.8× 27 1.3k
Javier Menárguez Spain 28 1.3k 1.5× 828 1.1× 250 0.9× 572 2.1× 190 0.8× 68 2.2k
Alejandro A. Gru United States 21 657 0.8× 880 1.1× 171 0.6× 156 0.6× 215 0.9× 188 1.8k
Daisuke Niino Japan 21 977 1.1× 961 1.2× 142 0.5× 365 1.4× 170 0.7× 94 1.9k
Hirokazu Nakamine Japan 21 921 1.1× 718 0.9× 178 0.6× 318 1.2× 86 0.4× 101 1.5k
José Cabeçadas Portugal 18 772 0.9× 775 1.0× 87 0.3× 241 0.9× 146 0.6× 65 1.4k

Countries citing papers authored by Jun‐ichi Tamaru

Since Specialization
Citations

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

Fields of papers citing papers by Jun‐ichi Tamaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun‐ichi 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 Jun‐ichi Tamaru. The network helps show where Jun‐ichi Tamaru may publish in the future.

Co-authorship network of co-authors of Jun‐ichi Tamaru

This figure shows the co-authorship network connecting the top 25 collaborators of Jun‐ichi Tamaru. A scholar is included among the top collaborators of Jun‐ichi 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 Jun‐ichi Tamaru. Jun‐ichi Tamaru 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
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Masuda, Wataru, Rieko Ajima, Katsuya Miyake, et al.. (2023). TM2D3, a mammalian homologue of Drosophila neurogenic gene product Almondex, regulates surface presentation of Notch receptors. Scientific Reports. 13(1). 20913–20913.
4.
Hato, Tai, Masatoshi Yamaguchi, Yoshiaki Inoue, et al.. (2021). A desmoplastic fibroblastoma that developed in the anterior mediastinum: a case report. Journal of Medical Case Reports. 15(1). 525–525. 1 indexed citations
5.
Kawakami, Satoru, Okihide Suzuki, Hidetaka Eguchi, et al.. (2020). Prevalence and clinicopathological/molecular characteristics of mismatch repair protein-deficient tumours among surgically treated patients with prostate cancer in a Japanese hospital-based population. Japanese Journal of Clinical Oncology. 51(4). 639–645. 4 indexed citations
6.
Tokuhira, Michihide, Jun‐ichi Tamaru, & Masahiro Kizaki. (2019). Clinical management for other iatrogenic immunodeficiency-associated lymphoproliferative disorders. Journal of Clinical and Experimental Hematopathology. 59(2). 72–92. 67 indexed citations
7.
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Tokuhira, Michihide, Shuntaro Saito, Ayumi Okuyama, et al.. (2017). Impact of the Duration of Methotrexate Administration and the Specific HLA Alleles on the Regressive Methotrexate-Induced Lymphoproliferative Disorders. Blood. 130. 4024–4024. 1 indexed citations
9.
Higashi, Morihiro, et al.. (2017). Nuclear expression of Y box binding-1 is important for resistance to chemotherapy including gemcitabine in TP53-mutated bladder cancer. International Journal of Oncology. 51(2). 579–586. 29 indexed citations
10.
Tamaru, Jun‐ichi. (2017). 2016 revision of the WHO classification of lymphoid neoplasms.. PubMed. 58(10). 2188–2193. 10 indexed citations
11.
Hatano, Satoshi, Hiroo Ishida, Toru Ishiguro, et al.. (2014). Prediction of metastasis to mesorectal, internal iliac and obturator lymph nodes according to size criteria in patients with locally advanced lower rectal cancer. Japanese Journal of Clinical Oncology. 45(1). 35–42. 11 indexed citations
12.
Kumagai, Youichi, Jun Sobajima, Morihiro Higashi, et al.. (2014). Angiogenesis in Superficial Esophageal Squamous Cell Carcinoma: Assessment of Microvessel Density Based on Immunostaining for CD34 and CD105. Japanese Journal of Clinical Oncology. 44(6). 526–533. 22 indexed citations
13.
Morita, Shigeki, Akihiko Yoshida, Akiteru Goto, et al.. (2013). High-grade Lung Adenocarcinoma With Fetal Lung–like Morphology. The American Journal of Surgical Pathology. 37(6). 924–932. 51 indexed citations
14.
Tamaru, Jun‐ichi, et al.. (2008). Two cases of Hodgkin's lymphoma presenting subsequent to methotrexate treatment for rheumatoid arthritis. The Journal of the Japanese Society of Clinical Cytology. 47(2). 111–115.
15.
Tamaru, Jun‐ichi. (2008). 1. Pathological Diagnosis. Nihon Naika Gakkai Zasshi. 97(7). 1537–1545. 1 indexed citations
16.
Miyazaki, Takuya, Katsumichi Fujimaki, Yukari Shirasugi, et al.. (2007). Remission of lymphoma after withdrawal of methotrexate in rheumatoid arthritis: Relationship with type of latent Epstein‐Barr virus infection. American Journal of Hematology. 82(12). 1106–1109. 78 indexed citations
17.
Tamaru, Jun‐ichi, et al.. (2002). Anaplastic Large Cell Lymphoma of the Mediastinum Diagnosed by Transbronchial Scratch Cytology. Acta Cytologica. 46(2). 405–411. 7 indexed citations
18.
Mori, Takehiko, Michihide Tokuhira, Shohei Mori, et al.. (2001). Primary natural killer cell lymphoma of the lacrimal sac. Annals of Hematology. 80(10). 607–610. 19 indexed citations
19.
Tamaru, Jun‐ichi, et al.. (1985). A CYSTIC ADENOMATOID TUMOR OF THE UTERUS SIMULATING LYMPHANGIOMA GROSSLY. Acta Pathologica Japonica. 35(4). 989–993. 12 indexed citations
20.
Horie, Hiroshi, et al.. (1984). Osteogenesis bioassay and immunohistochemical and radioisotopic studies of parotin, parotid gland extract, and subunit. Experimental and Molecular Pathology. 40(1). 51–60. 1 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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