Ji Sun
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Physiology top 2%
- Lysosomal Storage Disorders Research
Papers in
-
- Retinal Development and Disorders 4
- Glycosylation and Glycoproteins Research 3
- Ion channel regulation and function 3
- Cell Biology 13
- Cellular transport and secretion 11
- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Roderick MacKinnon (2 shared papers)Scott D. Emr (8 shared papers)Ronald L. Schnaar (2 shared papers)Ning Zheng (3 shared papers)Thomas R. Hinds (2 shared papers)Thomas O. Crawford (1 shared paper)Yujing Liu (1 shared paper)John W. Griffin (1 shared paper)
- Journals
- Cell (5 papers)Nature Communications (4 papers)Cell Research (2 papers)Human Immunology (2 papers)Biochemical Society Symposia (2 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Ji Sun
40 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 765
- Physiology 167
- Molecular Biology 1.8k
- Cellular and Molecular Neuroscience 420
- Immunology 324
Countries citing papers authored by Ji Sun
This map shows the geographic impact of Ji Sun'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 Ji Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Sun more than expected).
Fields of papers citing papers by Ji Sun
This network shows the impact of papers produced by Ji Sun. 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 Ji Sun. The network helps show where Ji Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 355 | |
| 2 | 2014 | 266 | |
| 3 | 2017 | 238 | |
| 4 | 2004 | 214 | |
| 5 | 2019 | 204 | |
| 6 | 2006 | 192 | |
| 7 | 2004 | 144 | |
| 8 | 2000 | 141 | |
| 9 | 2021 | 116 | |
| 10 | 2007 | 109 | |
| 11 | 2006 | 94 | |
| 12 | 2017 | 90 | |
| 13 | 1998 | 85 | |
| 14 | 2021 | 70 | |
| 15 | 2004 | 61 | |
| 16 | 2016 | 56 | |
| 17 | 2015 | 55 | |
| 18 | 2004 | 48 | |
| 19 | 2006 | 47 | |
| 20 | 2021 | 44 |
About Ji Sun
Ji Sun is a scholar working on Molecular Biology, Cell Biology, Physiology, Immunology and Cellular and Molecular Neuroscience, having authored 42 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Retinal Development and Disorders (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Glycosylation and Glycoproteins Research (3 papers), Lysosomal Storage Disorders Research (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Immune Cell Function and Interaction (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Cell Biology (765 citations), Physiology (167 citations), Molecular Biology (1.8k citations), Cellular and Molecular Neuroscience (420 citations) and Immunology (324 citations). Ji Sun has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Roderick MacKinnon, Scott D. Emr, Ronald L. Schnaar, Ning Zheng, Thomas R. Hinds, Thomas O. Crawford, Yujing Liu, John W. Griffin, John R. Bankston and Jian Payandeh. Their work appears in journals such as Cell, Nature Communications, Cell Research, Human Immunology and Biochemical Society Symposia.
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.