Sang‐Mo Kwon

605 citations
18 papers · 451 · h-index 13

Impact in

Papers in

    • Angiogenesis and VEGF in Cancer 2
    • Endoplasmic Reticulum Stress and Disease 3
    • Zebrafish Biomedical Research Applications 2

Sang‐Mo Kwon

17 papers receiving 447 citations

Peers

Sang‐Mo Kwon
Comparison fields: 5 of 76
  • Health, Toxicology and Mutagenesis 103
  • Cancer Research 86
  • Developmental Neuroscience 13
  • Reproductive Medicine 26
  • Genetics 31
Replace Farkhondeh Behjati with:
Farkhondeh Behjati Iran
Jeong‐Jae Ko South Korea
Beatriz Porto Portugal
Ningli Cheng United States
May Alrashed Saudi Arabia
Yingfei Lu China
Liudmila Zakharova United States
Jinhua Zhang China
Changge Fang United States
Ola Hadadeh Lebanon
Sang‐Mo Kwon relative to Farkhondeh Behjati Iran Farkhondeh Behjati's profile →
Citations per field
00.5×2.5×
Farkhondeh Behjati · 1×
Citations per year

Countries citing papers authored by Sang‐Mo Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Mo Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Mo Kwon. 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 Sang‐Mo Kwon. The network helps show where Sang‐Mo Kwon may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2000111
2 201679
3 201938
4 200933
5 201226
6 201223
7 201323
8 201622
9 201518
10 201817
11 201617
12 202213
13 202312
14 20198
15 20187
16 20232
17 20242
18 20250

About Sang‐Mo Kwon

Sang‐Mo Kwon is a scholar working on Molecular Biology, Cell Biology, Surgery, Pathology and Forensic Medicine and Epidemiology, having authored 18 papers that have together received 451 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Spinal Cord Injury Research (3 papers), Autophagy in Disease and Therapy (3 papers), Lipid metabolism and biosynthesis (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Zebrafish Biomedical Research Applications (2 papers) and Advanced Chemical Sensor Technologies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (103 citations), Cancer Research (86 citations), Developmental Neuroscience (13 citations), Reproductive Medicine (26 citations) and Genetics (31 citations). Sang‐Mo Kwon has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Jae Ho Kim, Eun Jin Seo, Dong‐Soo Suh, Ki‐Hyung Kim, Woong Bi Jang, Il Ho Jang, Eun Jung Choi, Sang‐Hun Shin, Su In Lee and Dae Kyoung Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Macromolecular Research, Journal of Neurotrauma, Biosensors and Bioelectronics 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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