Jon Sin

2.4k citations
35 papers · 1.8k · h-index 19

Impact in

Papers in

    • Mitochondrial Function and Pathology 6
    • RNA regulation and disease 6
    • Extracellular vesicles in disease 3
    • Autophagy in Disease and Therapy 10

Jon Sin

30 papers receiving 1.8k citations

Peers

Jon Sin
Comparison fields: 5 of 116
  • Epidemiology 675
  • Geriatrics and Gerontology 59
  • Physiology 68
  • Aging 26
  • Cardiology and Cardiovascular Medicine 294
Replace Jun Guo with:
Jun Guo China
Nadia Bendridi France
Tomoh Matsumiya Japan
Ting Xin China
Ekaterina Loginicheva United States
Bart Tummers United States
Isabel Latorre United States
Christine R. Morel United States
Malthi Masurekar United States
Bradlee L. Heckmann United States
Jon Sin relative to Jun Guo China Jun Guo's profile →
Citations per field
00.5×2.6×
Jun Guo · 1×
Citations per year

Countries citing papers authored by Jon Sin

Since Specialization
Citations

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

Fields of papers citing papers by Jon Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015310
2 2014264
3 2013167
4 2013143
5 2015132
6 2020119
7 201589
8 201786
9 201966
10 202151
11 202041
12 202135
13 201935
14 201934
15 201933
16 202032
17 202229
18 201425
19 201918
20 202416

About Jon Sin

Jon Sin is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Immunology and Surgery, having authored 35 papers that have together received 1.8k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), Viral Infections and Immunology Research (8 papers), interferon and immune responses (6 papers), Mitochondrial Function and Pathology (6 papers), RNA regulation and disease (6 papers), Extracellular vesicles in disease (3 papers), Cardiovascular Effects of Exercise (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Epidemiology (675 citations), Geriatrics and Gerontology (59 citations), Physiology (68 citations), Aging (26 citations) and Cardiology and Cardiovascular Medicine (294 citations). Jon Sin has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Roberta A. Gottlieb, Allen M. Andres, Chengqun Huang, Aleksandr Stotland, Ralph Feuer, D. Taylor, Brandon J. Kim, Thomas A. Weston, Kelly S. Doran and Yoshimi Hiraumi. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Circulation Research, International Journal of Molecular Sciences and PLoS ONE.

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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