Kenichi Chiba

18.2k total citations
49 papers, 1.1k citations indexed

About

Kenichi Chiba is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Kenichi Chiba has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Hematology and 11 papers in Cancer Research. Recurrent topics in Kenichi Chiba's work include Acute Myeloid Leukemia Research (12 papers), Cancer Genomics and Diagnostics (8 papers) and RNA modifications and cancer (7 papers). Kenichi Chiba is often cited by papers focused on Acute Myeloid Leukemia Research (12 papers), Cancer Genomics and Diagnostics (8 papers) and RNA modifications and cancer (7 papers). Kenichi Chiba collaborates with scholars based in Japan, United States and Sweden. Kenichi Chiba's co-authors include Yuichi Shiraishi, Satoru Miyano, Seishi Ogawa, Kenichi Yoshida, Hiroko Tanaka, Yusuke Okuno, Masashi Sanada, Yusuke Sato, Keisuke Kataoka and Hiromasa Yabe and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Kenichi Chiba

44 papers receiving 1.1k citations

Peers

Kenichi Chiba
Anil Sadarangani United States
Debra Saxe United States
Owen Stephens United States
Zhaohui Gu United States
Heather K. Schmidt United States
Kenichi Chiba
Citations per year, relative to Kenichi Chiba Kenichi Chiba (= 1×) peers Nicolas Goardon

Countries citing papers authored by Kenichi Chiba

Since Specialization
Citations

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

Fields of papers citing papers by Kenichi Chiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenichi Chiba

This figure shows the co-authorship network connecting the top 25 collaborators of Kenichi Chiba. A scholar is included among the top collaborators of Kenichi Chiba 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 Kenichi Chiba. Kenichi Chiba 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.
Iida, Naoko, Ai Okada, Yoshihisa Kobayashi, et al.. (2025). Systematically developing a registry of splice-site creating variants utilizing massive publicly available transcriptome sequence data. Nature Communications. 16(1). 426–426. 1 indexed citations
2.
Yoshifuji, Kota, Yuki Saito, Mariko Tabata, et al.. (2025). In vivo CRISPR screening reveals cooperation of KMT2D and TP53 deficiencies in B-cell lymphomagenesis. Blood Advances. 9(19). 5040–5055.
3.
Fujimoto, Ayumi, Seiji Sakata, Keisuke Kataoka, et al.. (2025). High-accuracy Detection of PD-L1 3’-UTR Disruption by Immunohistochemistry and Fluorescence in Situ Hybridization on Formalin-fixed Paraffin-embedded Sections. The American Journal of Surgical Pathology. 49(5). 490–498.
4.
Shiraishi, Yuichi, Junji Koya, Kenichi Chiba, et al.. (2023). Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv. Nucleic Acids Research. 51(14). e74–e74. 18 indexed citations
5.
Fujii, Yoichi, Nobuyuki Kakiuchi, Yusuke Shiozawa, et al.. (2022). Genetic Analysis of Pheochromocytoma and Paraganglioma Complicating Cyanotic Congenital Heart Disease. The Journal of Clinical Endocrinology & Metabolism. 107(9). 2545–2555. 11 indexed citations
6.
Shiraishi, Yuichi, Ai Okada, Kenichi Chiba, et al.. (2022). Systematic identification of intron retention associated variants from massive publicly available transcriptome sequencing data. Nature Communications. 13(1). 5357–5357. 12 indexed citations
7.
Shiraishi, Yuichi, Keisuke Kataoka, Kenichi Chiba, et al.. (2018). A comprehensive characterization of cis -acting splicing-associated variants in human cancer. Genome Research. 28(8). 1111–1125. 41 indexed citations
8.
Itonaga, Hidehiro, Rika Kihara, Yasunobu Nagata, et al.. (2018). Distinct gene alterations with a high percentage of myeloperoxidase-positive leukemic blasts in de novo acute myeloid leukemia. Leukemia Research. 65. 34–41. 5 indexed citations
9.
Shiozawa, Yusuke, Luca Malcovati, Anna Gallì, et al.. (2018). Aberrant splicing and defective mRNA production induced by somatic spliceosome mutations in myelodysplasia. Nature Communications. 9(1). 3649–3649. 111 indexed citations
10.
Okuno, Yusuke, Takayuki Murata, Yoshitaka Sato, et al.. (2017). Genetic Background of Chronic Active Epstein-Barr Virus Disease. Blood. 130. 1468–1468. 4 indexed citations
11.
Hiwatari, Mitsuteru, Masafumi Seki, Kenichi Yoshida, et al.. (2017). Molecular studies reveal MLL-MLLT10/AF10 and ARID5B-MLL gene fusions displaced in a case of infantile acute lymphoblastic leukemia with complex karyotype. Oncology Letters. 14(2). 2295–2299. 3 indexed citations
12.
Ichimura, Takuya, Kenichi Yoshida, Yusuke Okuno, et al.. (2016). Diagnostic challenge of Diamond–Blackfan anemia in mothers and children by whole-exome sequencing. International Journal of Hematology. 105(4). 515–520. 14 indexed citations
13.
Hira, Asuka, Kenichi Yoshida, Koichi Sato, et al.. (2015). Mutations in the Gene Encoding the E2 Conjugating Enzyme UBE2T Cause Fanconi Anemia. The American Journal of Human Genetics. 96(6). 1001–1007. 89 indexed citations
14.
Yoshizato, Tetsuichi, Yusuke Shiozawa, Kenichi Yoshida, et al.. (2015). Impact of Somatic Mutations on Outcome in Patients with MDS after Stem-Cell Transplantation. Blood. 126(23). 711–711. 2 indexed citations
15.
Hoshino, Akihiro, Keiko Nomura, Takeru Hamashima, et al.. (2014). Aggressive transformation of anaplastic large cell lymphoma with increased number of ALK-translocated chromosomes. International Journal of Hematology. 101(2). 198–202. 5 indexed citations
16.
Kurtović-Kozarić, Amina, B Przychodzen, Jagjit Singh, et al.. (2014). PRPF8 defects cause missplicing in myeloid malignancies. Leukemia. 29(1). 126–136. 82 indexed citations
17.
Imamura, Toshihiko, Masafumi Seki, Motohiro Kato, et al.. (2014). Identification of a homozygous JAK3 V674A mutation caused by acquired uniparental disomy in a relapsed early T-cell precursor ALL patient. International Journal of Hematology. 101(4). 411–416. 4 indexed citations
18.
Kunishima, Shinji, Yusuke Okuno, Kenichi Yoshida, et al.. (2013). ACTN1 Mutations Cause Congenital Macrothrombocytopenia. The American Journal of Human Genetics. 92(3). 431–438. 130 indexed citations
19.
Shiraishi, Yuichi, Yusuke Sato, Kenichi Chiba, et al.. (2013). An empirical Bayesian framework for somatic mutation detection from cancer genome sequencing data. Nucleic Acids Research. 41(7). e89–e89. 107 indexed citations
20.
Ito, Takeshi, Yosuke Takahashi, Yoshitaka Fukuzawa, et al.. (1992). The Mechanism of the Renal Excretion of Disopyramide in Rats. I. YAKUGAKU ZASSHI. 112(5). 336–342. 4 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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