Woong Shick Ahn

2.6k total citations
80 papers, 2.1k citations indexed

About

Woong Shick Ahn is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Woong Shick Ahn has authored 80 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Pulmonary and Respiratory Medicine and 16 papers in Oncology. Recurrent topics in Woong Shick Ahn's work include Photodynamic Therapy Research Studies (15 papers), Cervical Cancer and HPV Research (13 papers) and Nanoplatforms for cancer theranostics (11 papers). Woong Shick Ahn is often cited by papers focused on Photodynamic Therapy Research Studies (15 papers), Cervical Cancer and HPV Research (13 papers) and Nanoplatforms for cancer theranostics (11 papers). Woong Shick Ahn collaborates with scholars based in South Korea, United States and Saudi Arabia. Woong Shick Ahn's co-authors include Su Mi Bae, Eun Jeong Choi, Yong‐Wan Kim, Chong Kook Kim, Eun Jeong Choi, Sung Eun Namkoong, Chong‐Kook Kim, Jeong‐Sook Park, Pankaj Chaturvedi and Jin Hwan and has published in prestigious journals such as PLoS ONE, Biomaterials and Biosensors and Bioelectronics.

In The Last Decade

Woong Shick Ahn

79 papers receiving 2.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Woong Shick Ahn 857 324 248 234 215 80 2.1k
Srikanta Kumar Rath 1.3k 1.5× 356 1.1× 128 0.5× 178 0.8× 196 0.9× 96 2.6k
Kamran Mansouri 1.3k 1.6× 476 1.5× 118 0.5× 229 1.0× 134 0.6× 173 2.8k
Rituraj Konwar 1.2k 1.4× 199 0.6× 190 0.8× 143 0.6× 142 0.7× 102 3.1k
Gurjeet Kaur 696 0.8× 193 0.6× 134 0.5× 190 0.8× 103 0.5× 135 1.8k
Xueting Cai 1.5k 1.8× 400 1.2× 166 0.7× 138 0.6× 129 0.6× 83 2.6k
Zhiqiang Tian 1.0k 1.2× 537 1.7× 254 1.0× 75 0.3× 94 0.4× 82 2.2k
Lihua Zhang 923 1.1× 242 0.7× 111 0.4× 84 0.4× 122 0.6× 128 2.2k
Raf Mols 712 0.8× 165 0.5× 191 0.8× 78 0.3× 333 1.5× 53 2.8k
Chandrasekharan Guruvayoorappan 1.0k 1.2× 260 0.8× 145 0.6× 107 0.5× 185 0.9× 73 2.2k
Nasser Samadi 1.6k 1.9× 502 1.5× 124 0.5× 247 1.1× 198 0.9× 98 2.9k

Countries citing papers authored by Woong Shick Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Woong Shick Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Woong Shick Ahn. 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 Woong Shick Ahn. The network helps show where Woong Shick Ahn may publish in the future.

Co-authorship network of co-authors of Woong Shick Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Woong Shick Ahn. A scholar is included among the top collaborators of Woong Shick Ahn 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 Woong Shick Ahn. Woong Shick Ahn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Ju Hee, Yong‐Wan Kim, I. Kim, et al.. (2013). Identification of candidate biomarkers using the Experion™ automated electrophoresis system in serum samples from ovarian cancer patients. International Journal of Oncology. 42(4). 1257–1262. 9 indexed citations
2.
3.
Hota, Raghunandan, Kangkyun Baek, Gyeongwon Yun, et al.. (2012). Self-assembled, covalently linked, hollow phthalocyanine nanospheres. Chemical Science. 4(1). 339–344. 36 indexed citations
4.
5.
Kim, Yun‐Sook, et al.. (2010). Identification of differentially expressed genes using an annealing control primer system in stage III serous ovarian carcinoma. BMC Cancer. 10(1). 576–576. 96 indexed citations
6.
Kim, Hyun Jung, et al.. (2008). Apigenin-induced apoptosis in cervical cancer cell lines. Obstetrics & Gynecology Science. 51(8). 874–881. 5 indexed citations
7.
Kim, Sung Tae, Kyung‐Mi Lee, Hyunjoo Park, et al.. (2008). Topical delivery of interleukin‐13 antisense oligonucleotides with cationic elastic liposome for the treatment of atopic dermatitis. The Journal of Gene Medicine. 11(1). 26–37. 39 indexed citations
8.
Choi, Eun Jeong & Woong Shick Ahn. (2008). Neuroprotective effects of chronic hesperetin administration in mice. Archives of Pharmacal Research. 31(11). 1457–1462. 100 indexed citations
9.
Nho, Young Chang, et al.. (2005). Evaluations of Poly(vinyl alcohol) Hydrogels Cross-linked under γ-Ray Irradiation. Journal of Industrial and Engineering Chemistry. 11(1). 159–164. 10 indexed citations
10.
Choi, Jeong‐Woo, et al.. (2005). Adenoviral p53 effects and cell-specific E7 protein–protein interactions of human cervical cancer cells☆. Biosensors and Bioelectronics. 20(11). 2236–2243. 7 indexed citations
11.
Bae, Su Mi, Chang‐Hun Lee, Young Lae Cho, et al.. (2005). Two-dimensional gel analysis of protein expression profile in squamous cervical cancer patients. Gynecologic Oncology. 99(1). 26–35. 78 indexed citations
12.
Seo, Min Jae, Su Mi Bae, Yong‐Wan Kim, et al.. (2005). New approaches to pathogenic gene function discovery with human squamous cell cervical carcinoma by gene ontology. Gynecologic Oncology. 96(3). 621–629. 10 indexed citations
13.
Bae, Su Mi, Kyoung‐mi Park, Byung Hoon Kim, et al.. (2004). Identification of Gene Expression and Gene Ontology Classification by Differential Display RT-PCR in Human Cervical Squamous Cell Carcinoma. Obstetrics & Gynecology Science. 47(4). 684–694. 1 indexed citations
14.
Kim, Yong‐Wan, Yong‐Wan Kim, Woong Shick Ahn, et al.. (2004). In situ fabrication of self-transformable and hydrophilic poly(ethylene glycol) derivative-modified polysulfone membranes. Biomaterials. 26(16). 2867–2875. 32 indexed citations
15.
Lee, Mi‐Kyung, Jin‐Ki Kim, Sung Hee Choi, et al.. (2004). The use of chitosan as a condensing agent to enhance emulsion-mediated gene transfer. Biomaterials. 26(14). 2147–2156. 82 indexed citations
16.
Kim, Yong Wook, et al.. (2003). A Case of Glassy Cell Carcinoma of the Uterine Cervix with Photodynamic Therapy prior to Radical Surgery. Obstetrics & Gynecology Science. 46(4). 24–24.
17.
Ahn, Woong Shick, Seung Huh, Insu P. Lee, et al.. (2003). A Major Constituent of Green Tea, EGCG, Inhibits the Growth of a Human Cervical Cancer Cell Line, CaSki Cells, through Apoptosis, G 1 Arrest, and Regulation of Gene Expression. DNA and Cell Biology. 22(3). 217–224. 117 indexed citations
18.
Ahn, Woong Shick, Su Mi Bae, Keun Ho Lee, et al.. (2003). Recombinant adenovirus-p53 gene transfer and cell-specific growth suppression of human cervical cancer cells in vitro and in vivo. Gynecologic Oncology. 92(2). 611–621. 10 indexed citations
19.
Ahn, Woong Shick, Su Mi Bae, Joo Hee Yoon, et al.. (2003). Targeted cellular process profiling approach for uterine leiomyoma using cDNA microarray, proteomics and gene ontology analysis. International Journal of Experimental Pathology. 84(6). 267–279. 47 indexed citations
20.
Ahn, Woong Shick, Su Mi Bae, Tae‐Hyung Kim, et al.. (2002). Differential Suppression of Human Cervical Cancer Cell Growth by Adenovirus Delivery of p53 in vitro: Arrest Phase of Cell Cycle Is Dependent on Cell Line. Japanese Journal of Cancer Research. 93(9). 1012–1019. 17 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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