Su Ran Mun

714 citations
11 papers · 420 · 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

    • Autophagy in Disease and Therapy 7
    • Ubiquitin and proteasome pathways 4
    • Protein Degradation and Inhibitors 2
    • Signaling Pathways in Disease 1
    • Histone Deacetylase Inhibitors Research 1

Su Ran Mun

11 papers receiving 417 citations

Peers

Su Ran Mun
Comparison fields: 5 of 54
  • Cell Biology 117
  • Epidemiology 200
  • Physiology 21
  • Molecular Biology 278
  • Parasitology 25
Replace Ah Jung Heo with:
Ah Jung Heo South Korea
Asad M. Taherbhoy United States
Cheryl L. Meyerkord United States
Tatjana Starzetz Germany
Ki Woon Sung South Korea
Longgui Chen United States
Nektaria Maria Leli United States
Melat T. Gebru United States
Alexander Agrotis United Kingdom
Helin Vakifahmetoglu-Norberg Sweden
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 2019108
2 201878
3 201859
4 202348
5 201841
6 201631
7 202220
8 202313
9 201812
10 20226
11 20244

About Su Ran Mun

Su Ran Mun is a scholar working on Epidemiology, Molecular Biology, Cell Biology, Neurology and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 420 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (7 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Signaling Pathways in Disease (1 paper), Prostate Cancer Treatment and Research (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Cell Biology (117 citations), Epidemiology (200 citations), Physiology (21 citations), Molecular Biology (278 citations) and Parasitology (25 citations). Su Ran Mun has collaborated with scholars based in South Korea, United States and Puerto Rico. 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 Autophagy, Nature Communications, Journal of Cell Science, Molecular Neurodegeneration and Molecular Cell.

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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