Ryohichi Sugimura

2.2k citations
50 papers · 1.5k · h-index 15

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Cancer-related molecular mechanisms research

Papers in

    • Pluripotent Stem Cells Research 12
    • Single-cell and spatial transcriptomics 5
    • Immune Cell Function and Interaction 9
    • Immune cells in cancer 6

Ryohichi Sugimura

45 papers receiving 1.5k citations

Peers

Ryohichi Sugimura
Comparison fields: 5 of 92
  • Hematology 292
  • Cancer Research 213
  • Genetics 139
  • Immunology 264
  • Molecular Biology 881
Replace Jonas Larsson with:
Jonas Larsson Sweden
Tong Yin China
Takako Ooshio Japan
Giovanni Amabile United States
Shiri Gur‐Cohen Israel
Michael G. Poulos United States
Elena Tenedini Italy
Anastasia Sacharidou United States
Zack Z. Wang United States
Adlen Foudi France
Ryohichi Sugimura relative to Jonas Larsson Sweden Jonas Larsson's profile →
Citations per field
00.5×2.9×
Jonas Larsson · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ryohichi Sugimura, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ryohichi Sugimura Line = papers co-authored together Ryohichi Sugimura links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017345
2 2013221
3 2012217
4 2011141
5 2010121
6 202381
7 202351
8 202139
9 200930
10 202328
11 202227
12 202420
13 202419
14 201518
15 202416
16 202211
17 20239
18 20199
19 20238
20 20228

About Ryohichi Sugimura

Ryohichi Sugimura is a scholar working on Molecular Biology, Immunology, Oncology, Hematology and Biomedical Engineering, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (12 papers), Immune Cell Function and Interaction (9 papers), CAR-T cell therapy research (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Zebrafish Biomedical Research Applications (8 papers), Immune cells in cancer (6 papers), 3D Printing in Biomedical Research (6 papers) and Single-cell and spatial transcriptomics (5 papers). The work is most often cited by research in Hematology (292 citations), Cancer Research (213 citations), Genetics (139 citations), Immunology (264 citations) and Molecular Biology (881 citations). Ryohichi Sugimura has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Linheng Li, Xi He, Jeffrey S. Haug, John M. Perry, Xiao-bo Zhong, Aparna Venkatraman, Lai Peng, Craig L. Semerad, Andrew Box and Sheng Ding. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Nature, Journal of Visualized Experiments, Cancer treatment and research and Nature Communications.

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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