Sujin Kwon

692 citations
12 papers · 558 · h-index 7

Impact in

Papers in

    • Pluripotent Stem Cells Research 5
    • CRISPR and Genetic Engineering 3
    • Cell death mechanisms and regulation 2
    • Mitochondrial Function and Pathology 2
    • Cancer, Lipids, and Metabolism 3

Sujin Kwon

12 papers receiving 550 citations

Peers

Sujin Kwon
Comparison fields: 5 of 78
  • Aging 24
  • Cancer Research 105
  • Molecular Biology 416
  • Developmental Neuroscience 16
  • Clinical Biochemistry 23
Replace Nicole Bitsch with:
Nicole Bitsch Netherlands
Julie Clark United States
Viktoriia Kyrychenko United States
Anya Joyo United States
Stéphane Lopes‐Paciencia Canada
Songyan Han China
Gabriel Arismendi-Morillo Venezuela
Guillaume Collin France
Peng Luo China
Fulvio Santacatterina Spain
Sujin Kwon relative to Nicole Bitsch Netherlands Nicole Bitsch's profile →
Citations per field
00.5×3.2×
Nicole Bitsch · 1×
Citations per year

Countries citing papers authored by Sujin Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Sujin Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006387
2 201444
3 201524
4 201423
5 201223
6 201320
7 202419
8 20146
9 20155
10 20194
11 20152
12 20241

About Sujin Kwon

Sujin Kwon is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Electrical and Electronic Engineering and Materials Chemistry, having authored 12 papers that have together received 558 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), Cancer, Lipids, and Metabolism (3 papers), CRISPR and Genetic Engineering (3 papers), Electronic and Structural Properties of Oxides (2 papers), Catalytic Processes in Materials Science (2 papers), Cell death mechanisms and regulation (2 papers), Semiconductor materials and devices (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Aging (24 citations), Cancer Research (105 citations), Molecular Biology (416 citations), Developmental Neuroscience (16 citations) and Clinical Biochemistry (23 citations). Sujin Kwon has collaborated with scholars based in South Korea and United States. Frequent co-authors include Hye Won Seol, Young Min Choi, Do Joon Park, Hong Kyu Lee, Young Min Cho, Kyong Soo Park, Youngmi Kim Pak, Hak-Ryul Kim, Young Suk Kim and Ki‐Eun Hwang. Their work appears in journals such as International Journal of Oncology, Cellular Reprogramming, Chemistry of Materials, Oncology Reports and Experimental Cell Research.

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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