Sungman Park

2.0k total citations · 1 hit paper
19 papers, 1.6k citations indexed

About

Sungman Park is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Sungman Park has authored 19 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Epidemiology and 3 papers in Oncology. Recurrent topics in Sungman Park's work include Autophagy in Disease and Therapy (4 papers), Vector-borne infectious diseases (2 papers) and Electromagnetic Fields and Biological Effects (2 papers). Sungman Park is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Vector-borne infectious diseases (2 papers) and Electromagnetic Fields and Biological Effects (2 papers). Sungman Park collaborates with scholars based in United States, South Korea and India. Sungman Park's co-authors include Hong‐Gang Wang, Yoshinori Takahashi, Jong Woo Lee, Richard Jove, Gregg L. Semenza, Marcin Kortylewski, Qing Xu, James Turkson, Shumin Zhang and Guilian Niu and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Sungman Park

17 papers receiving 1.6k citations

Hit Papers

Targeting Stat3 blocks both HIF-1 and VEGF expression ind... 2005 2026 2012 2019 2005 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sungman Park United States 11 906 593 365 287 208 19 1.6k
Fabien Gautier France 17 1.4k 1.5× 799 1.3× 346 0.9× 292 1.0× 288 1.4× 35 2.1k
Bruno D. Fonseca Canada 15 1.6k 1.8× 282 0.5× 208 0.6× 235 0.8× 202 1.0× 16 2.1k
Kamini Singh United States 18 1.2k 1.3× 272 0.5× 406 1.1× 257 0.9× 134 0.6× 30 1.8k
Roble Bedolla United States 21 1.1k 1.2× 234 0.4× 574 1.6× 360 1.3× 155 0.7× 36 1.8k
Shoshana Paglin United States 14 950 1.0× 667 1.1× 238 0.7× 224 0.8× 115 0.6× 20 1.8k
Wei Wan China 18 1.0k 1.1× 957 1.6× 181 0.5× 171 0.6× 245 1.2× 49 1.9k
Jeannick Cizeau Canada 15 1.5k 1.7× 851 1.4× 288 0.8× 525 1.8× 302 1.5× 28 2.3k
Jacqueline Thorburn United States 20 1.2k 1.3× 919 1.5× 190 0.5× 316 1.1× 236 1.1× 25 1.8k
Esther Castaño Spain 20 856 0.9× 231 0.4× 401 1.1× 376 1.3× 157 0.8× 49 1.6k
Raquel García-Medina United States 8 957 1.1× 777 1.3× 164 0.4× 401 1.4× 97 0.5× 10 1.6k

Countries citing papers authored by Sungman Park

Since Specialization
Citations

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

Fields of papers citing papers by Sungman Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungman Park

This figure shows the co-authorship network connecting the top 25 collaborators of Sungman Park. A scholar is included among the top collaborators of Sungman Park based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sungman Park. Sungman Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Jeong, Ji‐Seong, Seung‐Jin Lee, Onju Ham, et al.. (2025). Fertility and Early Embryonic Development Toxicity of hzVSF‐v13 in Sprague–Dawley Rats. Journal of Applied Toxicology. 46(2). 560–568.
2.
Suresh, Manasa, Bin Li, Xu Huang, et al.. (2021). Combination Treatment with the Vimentin-Targeting Antibody hzVSF and Tenofovir Suppresses Woodchuck Hepatitis Virus Infection in Woodchucks. Cells. 10(9). 2321–2321. 9 indexed citations
3.
Kim, Hyun‐Jun, et al.. (2020). hzVSF, a novel HBV therapeutic candidate, shows WHsAg loss in woodchuck hepatitis model and safety in phase I clinical study. Journal of Hepatology. 73. S861–S861. 2 indexed citations
5.
Park, Sang‐Jin, et al.. (2017). Detection of organophosphate bound butyrylcholinesterase using a monoclonal antibody. Applied Biological Chemistry. 60(3). 233–240. 4 indexed citations
6.
Park, Sungman, R. Premaratna, Selvaraj Stephen, et al.. (2016). Clinical Evaluation of Rapid Diagnostic Test Kit for Scrub Typhus with Improved Performance. Journal of Korean Medical Science. 31(8). 1190–1190. 22 indexed citations
8.
Stephen, Selvaraj, Seung-Han Kim, Young Jin Kim, et al.. (2016). Evaluation of ImmuneMed scrub typhus rapid test kit, for diagnosis of scrub typhus. Journal of Vector Borne Diseases. 53(3). 283–283. 7 indexed citations
9.
Park, Sungman, et al.. (2014). Extremely Low Frequency Magnetic Fields Induce Spermatogenic Germ Cell Apoptosis: Possible Mechanism. BioMed Research International. 2014. 1–8. 28 indexed citations
10.
Takahashi, Yoshinori, Tsukasa Hori, Timothy K. Cooper, et al.. (2013). Bif-1 haploinsufficiency promotes chromosomal instability and accelerates Myc-driven lymphomagenesis via suppression of mitophagy. Blood. 121(9). 1622–1632. 63 indexed citations
11.
Young, Megan M., Yoshinori Takahashi, Osman Khan, et al.. (2012). Autophagosomal Membrane Serves as Platform for Intracellular Death-inducing Signaling Complex (iDISC)-mediated Caspase-8 Activation and Apoptosis. Journal of Biological Chemistry. 287(15). 12455–12468. 300 indexed citations
12.
Nam, Sangkil, Anna Scuto, Fan Yang, et al.. (2012). Indirubin derivatives induce apoptosis of chronic myelogenous leukemia cells involving inhibition of Stat5 signaling. Molecular Oncology. 6(3). 276–283. 59 indexed citations
13.
Cui, Gaofeng, Sungman Park, Aimee I. Badeaux, et al.. (2012). PHF20 is an effector protein of p53 double lysine methylation that stabilizes and activates p53. Nature Structural & Molecular Biology. 19(9). 916–924. 75 indexed citations
14.
Lee, Jong Woo, et al.. (2010). Abstract 4834: Energy-dependent AMPK association with the ULK1-mTORC1 complex regulates autophagy. Cancer Research. 70(8_Supplement). 4834–4834. 1 indexed citations
15.
Lee, Jong Woo, Sungman Park, Yoshinori Takahashi, & Hong‐Gang Wang. (2010). The Association of AMPK with ULK1 Regulates Autophagy. PLoS ONE. 5(11). e15394–e15394. 396 indexed citations
16.
Park, Sungman, Jianping Guo, Donghwa Kim, & Jin Q. Cheng. (2008). Identification of 24p3 as a Direct Target of Foxo3a Regulated by Interleukin-3 through the Phosphoinositide 3-Kinase/Akt Pathway. Journal of Biological Chemistry. 284(4). 2187–2193. 14 indexed citations
17.
Wang, Lu‐Hai, George Z. Cheng, Sungman Park, et al.. (2008). Advances of AKT Pathway in Human Oncogenesis and as a Target for Anti-Cancer Drug Discovery. Current Cancer Drug Targets. 8(1). 2–6. 99 indexed citations
18.
Xu, Qing, Sungman Park, Guilian Niu, et al.. (2005). Targeting Stat3 blocks both HIF-1 and VEGF expression induced by multiple oncogenic growth signaling pathways. Oncogene. 24(36). 5552–5560. 489 indexed citations breakdown →
19.
Kim, Young‐In, Sungman Park, Dooil Jeoung, & Hansoo Lee. (2003). Point mutations affecting the oligomeric structure of Nm23-H1 abrogates its inhibitory activity on colonization and invasion of prostate cancer cells. Biochemical and Biophysical Research Communications. 307(2). 281–289. 38 indexed citations

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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