Su Ran Mun

740 citations
11 papers · 442 · h-index 9

Impact in

  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
    • Autophagy in Disease and Therapy

Papers in

    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 3
    • Peroxisome Proliferator-Activated Receptors 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related gene regulation 1
    • Autophagy in Disease and Therapy 6

Su Ran Mun

11 papers receiving 439 citations

Peers

Su Ran Mun
Comparison fields: 5 of 54
  • Cell Biology 118
  • Epidemiology 188
  • Physiology 20
  • Molecular Biology 277
  • Parasitology 24
Replace Ah Jung Heo with:
Ah Jung Heo South Korea
Cheryl L. Meyerkord United States
Christian Pohl Germany
Longgui Chen United States
Nektaria Maria Leli United States
Melat T. Gebru United States
Nadja Sandra Katheder Norway
Ka Ruan China
Jonas B. Michaelis Germany
Robert W. Button United Kingdom
Su Ran Mun relative to Ah Jung Heo South Korea Ah Jung Heo's profile →
Citations per field
00.5×2.8×
Ah Jung Heo · 1×
Citations per year

Countries citing papers authored by Su Ran Mun

Since Specialization
Citations

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

Fields of papers citing papers by Su Ran Mun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Su Ran Mun. 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 Su Ran Mun. The network helps show where Su Ran Mun may publish in the future.

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019114
2 201880
3 201861
4 202354
5 201843
6 201631
7 202220
8 202314
9 201812
10 20227
11 20246

About Su Ran Mun

Su Ran Mun is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 11 papers that have together received 442 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (6 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Prostate Cancer Treatment and Research (1 paper), Epigenetics and DNA Methylation (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Cell Biology (118 citations), Epidemiology (188 citations), Physiology (20 citations), Molecular Biology (277 citations) and Parasitology (24 citations). Su Ran Mun has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Yong Tae Kwon, Chang Hoon Ji, Bo Yeon Kim, Aaron Ciechanover, Ki Woon Sung, Ah Jung Heo, Hyunjoo Cha‐Molstad, Su Hyun Lee, Joonsung Hwang and Min Ju Lee. Their work appears in journals such as Molecular Cell, Metabolism, Autophagy, EMBO Reports and Proceedings of the National Academy of Sciences.

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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