Ryohichi Sugimura

2.2k total citations · 1 hit paper
48 papers, 1.4k citations indexed

About

Ryohichi Sugimura is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Ryohichi Sugimura has authored 48 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 19 papers in Immunology and 14 papers in Oncology. Recurrent topics in Ryohichi Sugimura's work include Pluripotent Stem Cells Research (11 papers), CAR-T cell therapy research (9 papers) and Immune Cell Function and Interaction (9 papers). Ryohichi Sugimura is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CAR-T cell therapy research (9 papers) and Immune Cell Function and Interaction (9 papers). Ryohichi Sugimura collaborates with scholars based in Hong Kong, China and United States. Ryohichi Sugimura's co-authors include Linheng Li, Jeffrey S. Haug, Xi He, Aparna Venkatraman, Lai Peng, John M. Perry, Xiao-bo Zhong, Sheng Ding, Justin C. Grindley and Toshio Suda and has published in prestigious journals such as Nature, Cell and Angewandte Chemie International Edition.

In The Last Decade

Ryohichi Sugimura

44 papers receiving 1.4k citations

Hit Papers

Haematopoietic stem and progenitor cells from human pluri... 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryohichi Sugimura Hong Kong 14 902 303 276 254 224 48 1.4k
Giovanni Amabile United States 17 1.3k 1.4× 292 1.0× 163 0.6× 147 0.6× 276 1.2× 28 1.7k
Viktor Janzen Germany 13 1.2k 1.3× 449 1.5× 358 1.3× 336 1.3× 199 0.9× 24 1.9k
Brian Theisen United States 8 848 0.9× 349 1.2× 208 0.8× 472 1.9× 195 0.9× 19 1.4k
Garrett C. Heffner United States 11 1.2k 1.3× 198 0.7× 196 0.7× 179 0.7× 93 0.4× 15 1.5k
Tong Yin China 7 836 0.9× 412 1.4× 254 0.9× 352 1.4× 134 0.6× 19 1.3k
Fotis Asimakopoulos United States 20 538 0.6× 443 1.5× 333 1.2× 557 2.2× 194 0.9× 40 1.3k
Dengli Hong China 17 684 0.8× 516 1.7× 457 1.7× 303 1.2× 217 1.0× 30 1.5k
Anastasia Sacharidou United States 21 948 1.1× 149 0.5× 221 0.8× 238 0.9× 263 1.2× 36 1.8k
Christopher Sears United States 8 989 1.1× 430 1.4× 285 1.0× 180 0.7× 216 1.0× 12 1.6k
Zack Z. Wang United States 20 1.0k 1.2× 129 0.4× 134 0.5× 258 1.0× 218 1.0× 38 1.5k

Countries citing papers authored by Ryohichi Sugimura

Since Specialization
Citations

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

Fields of papers citing papers by Ryohichi Sugimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryohichi Sugimura

This figure shows the co-authorship network connecting the top 25 collaborators of Ryohichi Sugimura. A scholar is included among the top collaborators of Ryohichi Sugimura 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 Ryohichi Sugimura. Ryohichi Sugimura 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.
Huang, Ziqi, Chao Liang, Zhenhua Wu, et al.. (2025). Homogeneously cross-linked in situ hydrogel enclosing high-density human-cancer cells promotes vascularized in vivo tumor modeling for immune cell therapy. Advanced Composites and Hybrid Materials. 8(5).
2.
Lin, Xiaotong, Xin Dong, Kunyuan Wang, et al.. (2024). Radiotherapy enhances the anti-tumor effect of CAR-NK cells for hepatocellular carcinoma. Journal of Translational Medicine. 22(1). 929–929. 16 indexed citations
3.
Sugimura, Ryohichi, et al.. (2024). Recent advancement in the spatial immuno-oncology. Seminars in Cell and Developmental Biology. 166. 22–28. 3 indexed citations
4.
Au-Yeung, Rex, Kaiming Tang, Degong Ruan, et al.. (2024). SARS-CoV-2 infection activates inflammatory macrophages in vascular immune organoids. Scientific Reports. 14(1). 8781–8781. 2 indexed citations
5.
Su, Hang, et al.. (2023). Generation of Natural Killer Cells from Human Expanded Potential Stem Cells. Journal of Visualized Experiments.
6.
Xiao, Jiashun, Mingxuan Cai, Ryohichi Sugimura, et al.. (2023). Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope. Nature Communications. 14(1). 7848–7848. 64 indexed citations
7.
Wang, Yuan & Ryohichi Sugimura. (2023). Ex vivo expansion of hematopoietic stem cells. Experimental Cell Research. 427(1). 113599–113599. 6 indexed citations
8.
Sugimura, Ryohichi, et al.. (2023). The role of m6A mRNA modification in normal and malignant hematopoiesis. Journal of Leukocyte Biology. 115(1). 100–115. 4 indexed citations
9.
Sugimura, Ryohichi, et al.. (2023). Organoids in COVID-19: can we break the glass ceiling?. Journal of Leukocyte Biology. 115(1). 85–99. 1 indexed citations
10.
Su, Hang, Nan Wang, & Ryohichi Sugimura. (2023). T, NK, then macrophages: Recent advances and challenges in adaptive immunotherapy from human pluripotent stem cells. Differentiation. 130. 51–57. 8 indexed citations
11.
Sugimura, Ryohichi, et al.. (2023). Immune-epigenetic crosstalk in haematological malignancies. Frontiers in Cell and Developmental Biology. 11. 1233383–1233383. 3 indexed citations
12.
Wang, Yan, Xiaoxu Liu, Ge Gao, et al.. (2022). ZFP281-BRCA2 prevents R-loop accumulation during DNA replication. Nature Communications. 13(1). 25 indexed citations
13.
Sugimura, Ryohichi, et al.. (2022). The Tumor Microenvironment Reprograms Immune Cells. Cellular Reprogramming. 24(6). 343–352. 8 indexed citations
14.
Sugimura, Ryohichi, et al.. (2022). Off-the-Shelf Chimeric Antigen Receptor Immune Cells from Human Pluripotent Stem Cells. Cancer treatment and research. 183. 255–274.
15.
Sugimura, Ryohichi, et al.. (2022). The Role of Innate Lymphoid Cells in Cancer Development and Immunotherapy. Frontiers in Cell and Developmental Biology. 10. 803563–803563. 7 indexed citations
16.
Sugimura, Ryohichi. (2018). The significance and application of vascular niche in the development and maintenance of hematopoietic stem cells. International Journal of Hematology. 107(6). 642–645. 6 indexed citations
17.
Sugimura, Ryohichi, Deepak Kumar Jha, Areum Han, et al.. (2017). Haematopoietic stem and progenitor cells from human pluripotent stem cells. Nature. 545(7655). 432–438. 337 indexed citations breakdown →
18.
He, Xi, Zhenrui Li, Ryohichi Sugimura, et al.. (2014). Homing and Migration Assays of Hematopoietic Stem/Progenitor Cells. Methods in molecular biology. 1185. 279–284. 3 indexed citations
19.
Sugimura, Ryohichi, Xi He, Aparna Venkatraman, et al.. (2012). Noncanonical Wnt Signaling Maintains Hematopoietic Stem Cells in the Niche. Cell. 150(2). 351–365. 213 indexed citations
20.
Sugimura, Ryohichi & Linheng Li. (2009). Shifting in Balance Between Osteogenesis and Adipogenesis Substantially Influences Hematopoiesis. Journal of Molecular Cell Biology. 2(2). 61–62. 30 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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