Jun Tsuchiya

938 total citations
72 papers, 593 citations indexed

About

Jun Tsuchiya is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Jun Tsuchiya has authored 72 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Hematology, 15 papers in Molecular Biology and 15 papers in Genetics. Recurrent topics in Jun Tsuchiya's work include Multiple Myeloma Research and Treatments (16 papers), Liver Disease Diagnosis and Treatment (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Jun Tsuchiya is often cited by papers focused on Multiple Myeloma Research and Treatments (16 papers), Liver Disease Diagnosis and Treatment (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers). Jun Tsuchiya collaborates with scholars based in Japan, United States and Australia. Jun Tsuchiya's co-authors include Hirokazu Murakami, Takuji Naruse, Morio Sawamura, Jun‐ichi Tamura, T Maekawa, Mitsuhiro Omine, T. Noguchi, Katsuaki Sugioka, Hiroko Nakano and Minoru Nakano and has published in prestigious journals such as PLoS ONE, Cancer and Scientific Reports.

In The Last Decade

Jun Tsuchiya

65 papers receiving 564 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 Tsuchiya Japan 13 229 145 105 101 84 72 593
M J Cowan United States 11 173 0.8× 231 1.6× 48 0.5× 97 1.0× 39 0.5× 13 822
Takayuki Takubo Japan 17 222 1.0× 251 1.7× 126 1.2× 78 0.8× 56 0.7× 83 992
Dominic Wall Australia 16 130 0.6× 316 2.2× 340 3.2× 67 0.7× 39 0.5× 39 729
Mark Goodman United States 16 287 1.3× 260 1.8× 261 2.5× 54 0.5× 62 0.7× 52 903
Benjamin Manéglier France 11 220 1.0× 209 1.4× 91 0.9× 127 1.3× 26 0.3× 16 774
Павел Зак Czechia 15 164 0.7× 100 0.7× 90 0.9× 95 0.9× 68 0.8× 89 562
K. Hugh‐Jones United Kingdom 16 254 1.1× 122 0.8× 72 0.7× 95 0.9× 78 0.9× 35 649
Hisaki Fujii Japan 15 176 0.8× 143 1.0× 155 1.5× 39 0.4× 114 1.4× 33 580
M Musset France 14 80 0.3× 138 1.0× 332 3.2× 72 0.7× 78 0.9× 46 629
Mirosław Markiewicz Poland 14 335 1.5× 75 0.5× 117 1.1× 68 0.7× 65 0.8× 67 680

Countries citing papers authored by Jun Tsuchiya

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tsuchiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tsuchiya

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tsuchiya. A scholar is included among the top collaborators of Jun Tsuchiya 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 Tsuchiya. Jun Tsuchiya 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.
Miyoshi, Masato, Sei Kakinuma, Taro Shimizu, et al.. (2025). Crosstalk via ICAM-1 enhances supportive phenotype of stellate cells and drives hepatocyte proliferation in iPSC-derived hepatic organoids. Stem Cell Reports. 20(10). 102642–102642.
2.
Miyoshi, Masato, Sei Kakinuma, Ayako Sato, et al.. (2024). A20 in hepatic stellate cells suppresses chronic hepatitis by inhibiting DCLK1 – JNK pathway‐dependent chemokines. The FASEB Journal. 38(13). e23757–e23757. 2 indexed citations
3.
Kaneko, Shun, Yasuhiro Asahina, Miyako Murakawa, et al.. (2024). Analysis of prognosis and background liver disease in non-advanced hepatocellular carcinoma in two decades. PLoS ONE. 19(3). e0297882–e0297882.
4.
Nitta, Sayuri, Yasuhiro Asahina, Takanobu Kato, et al.. (2019). Impact of novel NS5A resistance-associated substitutions of hepatitis C virus detected in treatment-experienced patients. Scientific Reports. 9(1). 5722–5722. 11 indexed citations
5.
6.
Kurabayashi, Hitoshi, Keiichi Kubota, Jun Tsuchiya, et al.. (1999). Prognostic value of morphological classifications and clinical variables in elderly and young patients with multiple myeloma. Annals of Hematology. 78(1). 19–23. 6 indexed citations
7.
Sakura, Tohru, Hirokazu Murakami, Takayuki Saitoh, Takuji Naruse, & Jun Tsuchiya. (1998). Ultrastructural Abnormalities of Bone Marrow Erythroblasts in Refractory Anemia. Ultrastructural Pathology. 22(3). 173–180. 5 indexed citations
8.
Saitoh, Takayuki, Hirokazu Murakami, Kumiko Hayashi, et al.. (1998). Coincidental occurrence of pernicious anemia and mycosis fungoides in two elderly males. American Journal of Hematology. 58(2). 127–129.
9.
Yamaguchi, Sayuri, Takahiro Yamagishi, Kiyoshi Okamoto, et al.. (1997). Severe thrombocytopenia suggesting immunological mechanisms in two cases of vivax malaria. American Journal of Hematology. 56(3). 183–186. 9 indexed citations
10.
Maehara, Tadashi, Kazuko Okamoto, Hiromi Sakai, et al.. (1996). The majority of T lymphocytes are polyclonal during the chronic phase of chronic myelogenous leukemia. Annals of Hematology. 72(2). 61–65. 3 indexed citations
11.
Kurabayashi, Hitoshi, et al.. (1996). Prediction of prognosis by electron microscopic analysis of myeloma cells. Annals of Hematology. 73(4). 169–173. 3 indexed citations
12.
Maehara, Tadashi, et al.. (1996). The majority of T lymphocytes are polyclonal during the chronic phase of chronic myelogenous leukemia. Annals of Hematology. 72(2). 61–65. 9 indexed citations
13.
Sawamura, Morio, Hirokazu Murakami, Jun‐ichi Tamura, et al.. (1994). Tumour necrosis factor‐α and interleukin 4 promote the differentiation of myeloma cell precursors in multiple myeloma. British Journal of Haematology. 88(1). 17–23. 8 indexed citations
14.
Handa, Hiroshi, Hirokazu Murakami, Toshimasa Uchiyama, et al.. (1994). Primary Hodgkin’s Disease of the Bone Presenting with an Extradural Tumor. Acta Haematologica. 92(3). 148–149. 8 indexed citations
15.
Sawamura, Morio, Sayuri Yamaguchi, Hirokazu Murakami, et al.. (1994). Cyclic haemopoiesis at 7‐ or 8‐day intervals. British Journal of Haematology. 88(1). 215–218. 4 indexed citations
16.
Murayama, Kayoko, Morio Sawamura, Hirokazu Murakami, et al.. (1994). FK506 and Cyclosporin A Enhance IL‐6 Production in Monocytes: A single‐Cell Assay. Mediators of Inflammation. 3(5). 375–380. 4 indexed citations
17.
Sawamura, Morio, Hitoshi Kurabayashi, Hirokazu Murakami, et al.. (1993). Ultrastructure of plasma cells in a patient with J chain disease. American Journal of Hematology. 43(1). 63–65. 4 indexed citations
18.
Kurabayashi, Hitoshi, Kazuo Kubota, Jun‐ichi Tamura, et al.. (1992). Electron Microscopic Analysis of Myeloma Cells in Relation to Drug Response and Prognosis. Ultrastructural Pathology. 16(3). 379–383. 7 indexed citations
19.
Kurabayashi, Hitoshi, Shuichi Miyawaki, Hirokazu Murakami, et al.. (1989). Ultrastructure of multinucleated giant myeloma cells: Report of one case. American Journal of Hematology. 31(4). 284–285. 13 indexed citations
20.
Suda, Toshio, Mitsuhiro Omine, Jun Tsuchiya, & T Maekawa. (1978). Prognostic aspects of aplastic anemia in pregnancy. Annals of Hematology. 36(5). 285–298. 23 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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