Stephen Sakuma

647 citations
11 papers · 416 · h-index 9

Impact in

    • Phagocytosis and Immune Regulation
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • RNA regulation and disease

Papers in

    • Nuclear Structure and Function 6
    • RNA Research and Splicing 6
    • RNA regulation and disease 3
    • Muscle Physiology and Disorders 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Cell Adhesion Molecules Research 4

Stephen Sakuma

11 papers receiving 415 citations

Peers

Stephen Sakuma
Comparison fields: 5 of 65
  • Immunology 83
  • Molecular Biology 246
  • Gastroenterology 16
  • Immunology and Allergy 18
  • Developmental Neuroscience 11
Replace Christian Pröpper with:
Christian Pröpper Germany
Xueyan Guo China
Kai Fang United States
Barbara Zemann Austria
Yuji Ohki Japan
Witold Zgodziński Poland
Mutsumi Koyama Japan
Loïc Van Den Berghe France
Tina Fløyel Denmark
Stephen Sakuma relative to Christian Pröpper Germany Christian Pröpper's profile →
Citations per field
00.5×5.8×
Christian Pröpper · 1×
Citations per year

Countries citing papers authored by Stephen Sakuma

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stephen Sakuma, 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 Stephen Sakuma Line = papers co-authored together Stephen Sakuma links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 201787
2 201485
3 201755
4 201250
5 202032
6 201830
7 201328
8 201624
9 201418
10 20215
11 20252

About Stephen Sakuma

Stephen Sakuma is a scholar working on Molecular Biology, Immunology and Allergy, Immunology, Pharmacology and Cell Biology, having authored 11 papers that have together received 416 indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), RNA Research and Splicing (6 papers), Cell Adhesion Molecules Research (4 papers), RNA regulation and disease (3 papers), Muscle Physiology and Disorders (2 papers), Phagocytosis and Immune Regulation (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Immune cells in cancer (1 paper). The work is most often cited by research in Immunology (83 citations), Molecular Biology (246 citations), Gastroenterology (16 citations), Immunology and Allergy (18 citations) and Developmental Neuroscience (11 citations). Stephen Sakuma has collaborated with scholars based in United States, Japan and Iran. Frequent co-authors include Maximiliano A. D’Angelo, Kamran Atabai, William McKleroy, Amin Khalifeh‐Soltani, Marcela Raı́ces, Valeria Guglielmi, Kevin M. Tharp, Andreas Stahl, Daniel Hart and Scott Turner. Their work appears in journals such as Developmental Cell, Nature Medicine, Molecular Biology of the Cell, Cell Reports and Nature Immunology.

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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