Jun Suzuki

219 papers receiving 5.7k citations

Jun Suzuki's Hit Papers

Exposure of phosphatidylserine on the cell surface 2016 · 389 citations
3890+5+10Years since publication250500750

Peers

Jun Suzuki
Comparison fields: 5 of 177
  • Immunology 1.3k
  • Physiology 852
  • Molecular Biology 2.1k
  • Hematology 300
  • Cell Biology 457
Replace Jonathan F. Tait with:
Jonathan F. Tait United States
Simon J. Atkinson United States
Alnawaz Rehemtulla United States
Jonathan Gleadle Australia
Akira Watanabe Japan
John D. Martin United States
Katherine K. Matthay United States
William A. Weiss United States
Peter B. Dirks Canada
Ian C. MacDonald Canada
Jun Suzuki relative to Jonathan F. Tait United States Jonathan F. Tait's profile →
Citations per field
00.5×1.5×2.4×
Jonathan F. Tait · 1×
Citations per year

Countries citing papers authored by Jun Suzuki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Suzuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 248 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Calcium-dependent phospholipid scrambling by TMEM16F
Hit paper breakdown →
2010758
2 2013453
3
Exposure of phosphatidylserine on the cell surface
Hit paper breakdown →
2016389
4 2013311
5 1997200
6 1995195
7 2011166
8 2010153
9 1990141
10 2014136
11 2016103
12 2014102
13 199083
14 199476
15 201570
16 201769
17 200766
18 202264
19 201564
20 202063

About Jun Suzuki

Jun Suzuki is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Molecular Biology, Neurology and Immunology, having authored 248 papers that have together received 5.8k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (40 papers), Pleural and Pulmonary Diseases (13 papers), Tracheal and airway disorders (12 papers), Intracranial Aneurysms: Treatment and Complications (9 papers), Phagocytosis and Immune Regulation (9 papers), Atomic and Subatomic Physics Research (9 papers), Nuclear materials and radiation effects (8 papers) and Erythrocyte Function and Pathophysiology (8 papers). The work is most often cited by research in Immunology (1.3k citations), Physiology (852 citations), Molecular Biology (2.1k citations), Hematology (300 citations) and Cell Biology (457 citations). Jun Suzuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Shigekazu Nagata, Masato Umeda, Peter J. Sims, Katsumori Segawa, Toshihiro Fujii, H. Robert Horvitz, Daniel P. Denning, Hiroyuki Oizumi, Kenji Ishihara and Mitsuaki Sadahiro. Their work appears in journals such as European Journal of Cardio-Thoracic Surgery, The Annals of Thoracic Surgery, Journal of Biological Chemistry, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Thoracic and Cardiovascular Surgery.

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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