Sujin Park

133 papers receiving 2.8k citations

Sujin Park's Hit Papers

Cancer stem cells: landscape, challenges and emerging therapeutic innovations 2025 · 26 citations
260Years since publication510152025

Peers

Sujin Park
Comparison fields: 5 of 134
  • Physiology 135
  • Cell Biology 456
  • Molecular Biology 1.5k
  • Molecular Medicine 82
  • Cancer Research 222
Replace Katherine R. Parzych with:
Katherine R. Parzych United States
Zheng Fan China
Lihui Xu China
Yanling Chen China
Liqin Wang China
Jae Man Lee Japan
Ajaz A. Bhat India
Peng Liu China
Fengyi Wan United States
Juan F. Linares United States
Sujin Park relative to Katherine R. Parzych United States Katherine R. Parzych's profile →
Citations per field
00.5×1.5×2.1×
Katherine R. Parzych · 1×
Citations per year

Countries citing papers authored by Sujin Park

Since Specialization
Citations

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

Fields of papers citing papers by Sujin Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008189
2 2011113
3 2012113
4
Microtubule-active drugs taxol, vinblastine, and nocodazole increase the levels of transcriptionally active p53.
1995111
5 200476
6 201073
7 201569
8 201466
9 200559
10 201451
11 201149
12 200945
13 200944
14 201142
15 200642
16 200641
17 201540
18 201540
19 201639
20 201438

About Sujin Park

Sujin Park is a scholar working on Molecular Biology, Oncology, Immunology, Cell Biology and Plant Science, having authored 140 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Microbial Community Ecology and Physiology (7 papers), Cellular transport and secretion (6 papers), TGF-β signaling in diseases (6 papers), Insect Resistance and Genetics (5 papers), Plant Disease Resistance and Genetics (5 papers), Microbial Natural Products and Biosynthesis (5 papers) and NF-κB Signaling Pathways (5 papers). The work is most often cited by research in Physiology (135 citations), Cell Biology (456 citations), Molecular Biology (1.5k citations), Molecular Medicine (82 citations) and Cancer Research (222 citations). Sujin Park has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Fumio Matsumura, Lois S. Weisman, Joo‐Cheol Park, Brendan D. Price, Roy B. Tishler, Alan R. Saltiel, Dave Bridges, Saeyoull Cho, Hye‐Kyung Lee and Natsuko Jin. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, The Journal of Microbiology, Cell Death and Disease, Oncogene and Molecular Biology of the 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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