Junji Koya

1.1k total citations
35 papers, 523 citations indexed

About

Junji Koya is a scholar working on Hematology, Molecular Biology and Oncology. According to data from OpenAlex, Junji Koya has authored 35 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 13 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Junji Koya's work include Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (5 papers) and Cancer Genomics and Diagnostics (5 papers). Junji Koya is often cited by papers focused on Acute Myeloid Leukemia Research (15 papers), Protein Degradation and Inhibitors (5 papers) and Cancer Genomics and Diagnostics (5 papers). Junji Koya collaborates with scholars based in Japan, United Kingdom and France. Junji Koya's co-authors include Keisuke Kataoka, Mineo Kurokawa, Tomohiko Sato, Yuki Saito, Yasuhito Nannya, Ken Morita, Yoshiki Sumitomo, Kumi Nakazaki, Hiroshi Kobayashi and Yasunori Kogure and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Junji Koya

31 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Koya Japan 13 291 177 93 92 89 35 523
R. Katherine Hyde United States 15 349 1.2× 215 1.2× 59 0.6× 44 0.5× 108 1.2× 30 562
Kai Hu China 13 220 0.8× 106 0.6× 106 1.1× 33 0.4× 130 1.5× 59 456
Karen Crain United States 10 210 0.7× 236 1.3× 102 1.1× 46 0.5× 35 0.4× 11 548
Laure Vincent France 17 439 1.5× 353 2.0× 93 1.0× 31 0.3× 179 2.0× 58 802
Angela Minervini Italy 14 221 0.8× 214 1.2× 139 1.5× 24 0.3× 62 0.7× 38 483
Cosimo Cumbo Italy 15 254 0.9× 279 1.6× 150 1.6× 28 0.3× 77 0.9× 45 566
Luciana Impera Italy 14 227 0.8× 201 1.1× 138 1.5× 25 0.3× 66 0.7× 37 490
Haizhou Xing China 11 192 0.7× 162 0.9× 81 0.9× 37 0.4× 208 2.3× 31 561
Sabina Pierpaoli Italy 12 230 0.8× 188 1.1× 65 0.7× 40 0.4× 76 0.9× 14 505
Giuseppina Tota Italy 16 261 0.9× 269 1.5× 154 1.7× 25 0.3× 77 0.9× 41 571

Countries citing papers authored by Junji Koya

Since Specialization
Citations

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

Fields of papers citing papers by Junji Koya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Koya

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Koya. A scholar is included among the top collaborators of Junji Koya 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 Junji Koya. Junji Koya 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
2.
Saito, Yuki, Yasunori Kogure, Yuta Ito, et al.. (2024). Pan-Cancer Comparative and Integrative Analyses of Driver Alterations Using Japanese and International Genomic Databases. Cancer Discovery. 14(5). 786–803. 21 indexed citations
3.
Koya, Junji, Hideaki Mizuno, Yosuke Masamoto, et al.. (2022). Heterozygous Dnmt3a R878C induces expansion of quiescent hematopoietic stem cell pool. Experimental Hematology. 109. 45–54.
4.
Shingaki, Sumito, Junji Koya, Mitsuhiro Yuasa, et al.. (2022). Tumor-promoting function and regulatory landscape of PD-L2 in B-cell lymphoma. Leukemia. 37(2). 492–496. 1 indexed citations
5.
Honda, Akira, Junji Koya, Akihide Yoshimi, et al.. (2021). Loss-of-function mutations in BCOR contribute to chemotherapy resistance in acute myeloid leukemia. Experimental Hematology. 101-102. 42–48.e11. 10 indexed citations
6.
Saito, Yuki, Junji Koya, Mitsugu Araki, et al.. (2020). Landscape and function of multiple mutations within individual oncogenes. Nature. 582(7810). 95–99. 84 indexed citations
7.
Kawazu, Masahito, Junji Koya, Akihide Yoshimi, et al.. (2019). A germline HLTF mutation in familial MDS induces DNA damage accumulation through impaired PCNA polyubiquitination. Leukemia. 33(7). 1773–1782. 10 indexed citations
8.
Masamoto, Yosuke, Junji Koya, Aya Shinozaki‐Ushiku, et al.. (2019). Long-term Remission by Brentuximab Vedotin for Non-mediastinal Gray Zone Lymphoma Refractory to Autologous Stem Cell Transplantation. Clinical Lymphoma Myeloma & Leukemia. 19(11). e602–e604. 3 indexed citations
9.
Koya, Junji, Shunya Arai, Akira Honda, et al.. (2018). ADAM8 Is an Antigen of Tyrosine Kinase Inhibitor-Resistant Chronic Myeloid Leukemia Cells Identified by Patient-Derived Induced Pluripotent Stem Cells. Stem Cell Reports. 10(3). 1115–1130. 30 indexed citations
10.
Koya, Junji, et al.. (2018). Usefulness of presepsin for early detection of infections in patients with hematologic disorders. Clinica Chimica Acta. 486. 374–380. 2 indexed citations
11.
Dumas, Pierre‐Yves, Olivier Mansier, Valérie Prouzet‐Mauleon, et al.. (2018). MiR-10a and HOXB4 are overexpressed in atypical myeloproliferative neoplasms. BMC Cancer. 18(1). 1098–1098. 9 indexed citations
12.
Morita, Kiyomi, Akira Honda, Junji Koya, et al.. (2018). Three cases of Candida fermentati fungemia following hematopoietic stem cell transplantation. Journal of Infection and Chemotherapy. 24(7). 576–578. 9 indexed citations
13.
Koya, Junji, Keisuke Kataoka, Yoshiki Sumitomo, et al.. (2017). Loss of p53 induces leukemic transformation in a murine model of Jak2 V617F-driven polycythemia vera. Oncogene. 36(23). 3300–3311. 23 indexed citations
14.
Koya, Junji, Keisuke Kataoka, Tomohiko Sato, et al.. (2016). DNMT3A R882 mutants interact with polycomb proteins to block haematopoietic stem and leukaemic cell differentiation. Nature Communications. 7(1). 10924–10924. 67 indexed citations
15.
Morita, Ken, Yosuke Masamoto, Keisuke Kataoka, et al.. (2015). BAALC potentiates oncogenic ERK pathway through interactions with MEKK1 and KLF4. Leukemia. 29(11). 2248–2256. 29 indexed citations
16.
Kanda, Hiroko, Junji Koya, Hiroshi Uozaki, et al.. (2013). Membranous nephropathy with repeated flares in IgG4-related disease. Clinical Kidney Journal. 6(2). 204–207. 12 indexed citations
17.
Koya, Junji, Yasuhito Nannya, Motoshi Ichikawa, & Mineo Kurokawa. (2012). The clinical role of procalcitonin in hematopoietic SCT. Bone Marrow Transplantation. 47(10). 1326–1331. 19 indexed citations
18.
Koya, Junji, Atsushi Iwata, Fumihiko Nakamura, et al.. (2012). Fludarabine may overcome resistance to rituximab in IgM-related neuropathy. Journal of the Neurological Sciences. 315(1-2). 150–152. 5 indexed citations
19.
Koya, Junji, Yasuhito Nannya, & Mineo Kurokawa. (2012). Evaluation of procalcitonin with liquid-phase binding assay in hematological malignancy. Clinica Chimica Acta. 413(19-20). 1633–1636. 11 indexed citations
20.
Toya, Takashi, Nahoko Nishimoto, Junji Koya, et al.. (2011). The first case of blastic plasmacytoid dendritic cell neoplasm with MLL-ENL rearrangement. Leukemia Research. 36(1). 117–118. 18 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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