Junsen Tong

639 citations
13 papers · 511 · h-index 10

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

    • RNA and protein synthesis mechanisms 6
    • Lipid Membrane Structure and Behavior 5
    • Protein Structure and Dynamics 3
    • Plant biochemistry and biosynthesis 2
    • Cellular transport and secretion 5
    • Endoplasmic Reticulum Stress and Disease 2

Junsen Tong

13 papers receiving 511 citations

Peers

Junsen Tong
Comparison fields: 5 of 59
  • Cell Biology 210
  • Biochemistry 50
  • Molecular Biology 371
  • Physiology 16
  • Infectious Diseases 52
Replace Antje Heese-Peck with:
Antje Heese-Peck Switzerland
Lisbeth R. Poulsen Denmark
Avula Sreenivas United States
Monica C. V. Donaton Belgium
Carole Roubaty Switzerland
Corinna Cappellaro Germany
Thomas Höfken Germany
Esther Marza France
Shota Sakai Japan
Randolph Addison United States
Junsen Tong relative to Antje Heese-Peck Switzerland Antje Heese-Peck's profile →
Citations per field
00.5×10.8×
Antje Heese-Peck · 1×
Citations per year

Countries citing papers authored by Junsen Tong

Since Specialization
Citations

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

Fields of papers citing papers by Junsen Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Junsen Tong, 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 Junsen Tong Line = papers co-authored together Junsen Tong links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2015172
2 2013106
3 201870
4 201753
5 201637
6 201917
7 201313
8 201413
9 202111
10 201910
11 20134
12 20123
13 20142

About Junsen Tong

Junsen Tong is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Surgery and Biochemistry, having authored 13 papers that have together received 511 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Lipid Membrane Structure and Behavior (5 papers), Cellular transport and secretion (5 papers), Enzyme Structure and Function (3 papers), Protein Structure and Dynamics (3 papers), Plant biochemistry and biosynthesis (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers) and Lipid metabolism and biosynthesis (2 papers). The work is most often cited by research in Cell Biology (210 citations), Biochemistry (50 citations), Molecular Biology (371 citations), Physiology (16 citations) and Infectious Diseases (52 citations). Junsen Tong has collaborated with scholars based in South Korea, Austria and Australia. Frequent co-authors include Young Jun Im, Huiseon Yang, Soo Hyun Eom, M.K. Manik, Chul Won Lee, Hongyuan Yang, ChangJu Chun, Thomas A. Leonard, Youngjin Lee and Hyung‐Seop Youn. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications, Structure, FEBS Letters and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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