Young Jun Im

3.5k citations
68 papers · 2.6k · h-index 24

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Lipid Membrane Structure and Behavior
    • RNA and protein synthesis mechanisms
    • Protein Structure and Dynamics

Papers in

    • Lipid Membrane Structure and Behavior 10
    • RNA and protein synthesis mechanisms 7
    • Biochemical and Molecular Research 6
    • Protein Structure and Dynamics 5
    • Cellular transport and secretion 14
    • Endoplasmic Reticulum Stress and Disease 6

Young Jun Im

67 papers receiving 2.6k citations

Peers

Young Jun Im
Comparison fields: 5 of 105
  • Cell Biology 1.0k
  • Molecular Biology 1.8k
  • Physiology 113
  • Biochemistry 170
  • Virology 59
Replace Carlos B. Hirschberg with:
Carlos B. Hirschberg United States
Masayoshi Fukasawa Japan
Susan Michaelis United States
Paul Jenoe Switzerland
Claudia Abeijón United States
Matthias Müller Germany
Kaoru Takegawa Japan
Jun‐ichi Nikawa Japan
Sarah Maslen United Kingdom
Zhaohui Xu United States
Young Jun Im relative to Carlos B. Hirschberg United States Carlos B. Hirschberg's profile →
Citations per field
00.5×3.9×
Carlos B. Hirschberg · 1×
Citations per year

Countries citing papers authored by Young Jun Im

Since Specialization
Citations

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

Fields of papers citing papers by Young Jun Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005355
2 2006224
3 2001195
4 2015169
5 2009125
6 2013106
7 200998
8 200390
9 199989
10 200983
11 200883
12 201783
13 200377
14 201869
15 201058
16 201656
17 201753
18 200442
19 201637
20 201633

About Young Jun Im

Young Jun Im is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Oncology and Surgery, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Enzyme Structure and Function (19 papers), Cellular transport and secretion (14 papers), Lipid Membrane Structure and Behavior (10 papers), RNA and protein synthesis mechanisms (7 papers), Biochemical and Molecular Research (6 papers), Endoplasmic Reticulum Stress and Disease (6 papers), Protein Structure and Dynamics (5 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Cell Biology (1.0k citations), Molecular Biology (1.8k citations), Physiology (113 citations), Biochemistry (170 citations) and Virology (59 citations). Young Jun Im has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include James H. Hurley, Sumana Raychaudhuri, William A. Prinz, Soo Hyun Eom, Junsen Tong, Huiseon Yang, Seong‐Hwan Rho, M.K. Manik, Jun Hyuck Lee and Gil Bu Kang. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Structure, Biochemical and Biophysical Research Communications, Scientific Reports and Molecules and Cells.

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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