Kenji Kamimoto

1.9k total citations · 1 hit paper
19 papers, 925 citations indexed

About

Kenji Kamimoto is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Kenji Kamimoto has authored 19 papers receiving a total of 925 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Surgery and 3 papers in Oncology. Recurrent topics in Kenji Kamimoto's work include Single-cell and spatial transcriptomics (7 papers), Pancreatic function and diabetes (4 papers) and Liver physiology and pathology (3 papers). Kenji Kamimoto is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Pancreatic function and diabetes (4 papers) and Liver physiology and pathology (3 papers). Kenji Kamimoto collaborates with scholars based in United States, Japan and Netherlands. Kenji Kamimoto's co-authors include Samantha A. Morris, Kunal Jindal, Christy M. Hoffmann, Tohru Itoh, Kota Kaneko, Atsushi Miyajima, Chuner Guo, Brent A. Biddy, Lilianna Solnica‐Krezel and Blerta Stringa and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Kenji Kamimoto

17 papers receiving 922 citations

Hit Papers

Dissecting cell identity via network inference and in sil... 2023 2026 2024 2023 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kenji Kamimoto United States 13 630 193 154 117 113 19 925
Luc Gailhouste Japan 18 619 1.0× 78 0.4× 349 2.3× 148 1.3× 100 0.9× 27 982
Yunuo Mao China 10 538 0.9× 63 0.3× 168 1.1× 50 0.4× 198 1.8× 13 826
Zhuoqing Fang United States 10 396 0.6× 51 0.3× 73 0.5× 57 0.5× 87 0.8× 24 657
Annick Waldt Switzerland 8 335 0.5× 56 0.3× 65 0.4× 41 0.4× 199 1.8× 8 723
Kartik Subramanian United States 13 328 0.5× 85 0.4× 54 0.4× 83 0.7× 153 1.4× 28 587
Konrad Koelble Germany 13 244 0.4× 57 0.3× 201 1.3× 28 0.2× 264 2.3× 13 671
Christina Adler United States 14 714 1.1× 464 2.4× 196 1.3× 15 0.1× 126 1.1× 23 1.3k
Charlotte Labalette France 14 1.1k 1.7× 49 0.3× 196 1.3× 15 0.1× 146 1.3× 15 1.3k
Dalit May Israel 9 774 1.2× 65 0.3× 175 1.1× 29 0.2× 50 0.4× 14 1.0k
V. Sivakamasundari Singapore 12 528 0.8× 277 1.4× 123 0.8× 11 0.1× 95 0.8× 22 1.1k

Countries citing papers authored by Kenji Kamimoto

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Kamimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Kamimoto

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

All Works

19 of 19 papers shown
1.
Rivera-Gonzalez, Guillermo C., Rachel L. Mintz, Wenjun Kong, et al.. (2025). Comparative single-cell lineage tracing identifies distinct adipocyte precursor dynamics in skin and inguinal fat. Cell stem cell. 32(8). 1267–1284.e8.
2.
Kamimoto, Kenji, Blerta Stringa, Christy M. Hoffmann, et al.. (2023). Dissecting cell identity via network inference and in silico gene perturbation. Nature. 614(7949). 742–751. 228 indexed citations breakdown →
3.
Jindal, Kunal, Naoto Yamaguchi, Xue Yang, et al.. (2023). Single-cell lineage capture across genomic modalities with CellTag-multi reveals fate-specific gene regulatory changes. Nature Biotechnology. 42(6). 946–959. 33 indexed citations
4.
Amrute, Junedh, Lulu Lai, Pan Ma, et al.. (2023). Defining cardiac functional recovery in end-stage heart failure at single-cell resolution. Nature Cardiovascular Research. 2(4). 399–416. 28 indexed citations
5.
Ishii, Kotaro, Miho Akiyama, Kenji Kamimoto, H. Kawai, & Yumiko Suto. (2023). Application of automated scoring system of dicentric chromosome for biodosimetry. CYTOLOGIA. 88(4). 281–282.
6.
Tamai, Minori, Shinichi Fujisawa, Thao Nguyen, et al.. (2022). Creation of Philadelphia chromosome by CRISPR/Cas9-mediated double cleavages on BCR and ABL1 genes as a model for initial event in leukemogenesis. Cancer Gene Therapy. 30(1). 38–50. 2 indexed citations
7.
Kamimoto, Kenji, Kunal Jindal, Christy M. Hoffmann, et al.. (2022). Gene regulatory network reconfiguration in direct lineage reprogramming. Stem Cell Reports. 18(1). 97–112. 22 indexed citations
8.
Matsumoto, Masahito, Yasushi Okazaki, Keisuke Tanaka, et al.. (2021). Ngn3-Positive Cells Arise from Pancreatic Duct Cells. International Journal of Molecular Sciences. 22(16). 8548–8548. 3 indexed citations
9.
Wu, Kangyun, Kenji Kamimoto, Yong Zhang, et al.. (2021). Basal epithelial stem cells cross an alarmin checkpoint for postviral lung disease. Journal of Clinical Investigation. 131(19). 30 indexed citations
10.
Kong, Wenjun, et al.. (2020). CellTagging: combinatorial indexing to simultaneously map lineage and identity at single-cell resolution. Nature Protocols. 15(3). 750–772. 44 indexed citations
11.
Kamimoto, Kenji, Yasuhiro Nakano, Kota Kaneko, Atsushi Miyajima, & Tohru Itoh. (2020). Multidimensional imaging of liver injury repair in mice reveals fundamental role of the ductular reaction. Communications Biology. 3(1). 289–289. 31 indexed citations
12.
Guo, Chuner, Wenjun Kong, Kenji Kamimoto, et al.. (2019). CellTag Indexing: genetic barcode-based sample multiplexing for single-cell genomics. Genome biology. 20(1). 90–90. 59 indexed citations
13.
Waye, Sarah, Kenji Kamimoto, Emily J. Onufer, et al.. (2019). Single-Cell Analysis Reveals Regional Reprogramming During Adaptation to Massive Small Bowel Resection in Mice. Cellular and Molecular Gastroenterology and Hepatology. 8(3). 407–426. 20 indexed citations
14.
Kamimoto, Kenji, Katsuhiro Miyajima, Masahito Matsumoto, et al.. (2018). A Method for Identifying Mouse Pancreatic Ducts. Tissue Engineering Part C Methods. 24(8). 480–485. 5 indexed citations
15.
Okada, Hajime, Minami Yamada, Kenji Kamimoto, et al.. (2018). The transcription factor Klf5 is essential for intrahepatic biliary epithelial tissue remodeling after cholestatic liver injury. Journal of Biological Chemistry. 293(17). 6214–6229. 15 indexed citations
16.
Biddy, Brent A., Kenji Kamimoto, Chuner Guo, et al.. (2018). Single-cell mapping of lineage and identity in direct reprogramming. Nature. 564(7735). 219–224. 237 indexed citations
17.
Kamimoto, Kenji, Kota Kaneko, Cindy Kok, et al.. (2016). Heterogeneity and stochastic growth regulation of biliary epithelial cells dictate dynamic epithelial tissue remodeling. eLife. 5. 85 indexed citations
18.
Kaneko, Kota, Kenji Kamimoto, Atsushi Miyajima, & Tohru Itoh. (2015). Adaptive remodeling of the biliary architecture underlies liver homeostasis. Hepatology. 61(6). 2056–2066. 81 indexed citations
19.
Murakami, Naoki, et al.. (1986). [Myotonic dystrophy associated with multiple calcifying epithelioma of Malherbe].. PubMed. 26(5). 505–8. 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026