Sujin Ahn

960 total citations
8 papers, 205 citations indexed

About

Sujin Ahn is a scholar working on Molecular Biology, Infectious Diseases and Hepatology. According to data from OpenAlex, Sujin Ahn has authored 8 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Infectious Diseases and 2 papers in Hepatology. Recurrent topics in Sujin Ahn's work include HIV/AIDS drug development and treatment (3 papers), Cancer therapeutics and mechanisms (2 papers) and Hepatitis C virus research (2 papers). Sujin Ahn is often cited by papers focused on HIV/AIDS drug development and treatment (3 papers), Cancer therapeutics and mechanisms (2 papers) and Hepatitis C virus research (2 papers). Sujin Ahn collaborates with scholars based in South Korea and France. Sujin Ahn's co-authors include Zaesung No, Hwankyu Kang, Inhee Choi, Sei Jin Park, Young Mi Kim, Kévin Pethe, Jiyoun Nam, Kiyean Nam, Sun‐Hee Kang and Jungjun Kim and has published in prestigious journals such as Cancer Research, Journal of Medicinal Chemistry and European Journal of Medicinal Chemistry.

In The Last Decade

Sujin Ahn

8 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sujin Ahn South Korea 6 96 87 83 46 21 8 205
Vaishali Humnabadkar India 7 171 1.8× 84 1.0× 139 1.7× 45 1.0× 29 1.4× 8 248
Saeyeon Lee South Korea 3 91 0.9× 81 0.9× 98 1.2× 48 1.0× 21 1.0× 4 178
Hwankyu Kang South Korea 5 94 1.0× 72 0.8× 103 1.2× 60 1.3× 22 1.0× 9 205
Claire J. Mackenzie United Kingdom 6 173 1.8× 84 1.0× 95 1.1× 59 1.3× 38 1.8× 9 258
Jeong Jea Seo South Korea 6 154 1.6× 107 1.2× 84 1.0× 48 1.0× 21 1.0× 7 251
Supreeth Guptha India 7 147 1.5× 111 1.3× 119 1.4× 43 0.9× 25 1.2× 9 251
Courtney Hastings United States 4 92 1.0× 44 0.5× 122 1.5× 69 1.5× 20 1.0× 4 174
Eva María López-Román Spain 9 123 1.3× 94 1.1× 143 1.7× 48 1.0× 27 1.3× 9 255
Vijender Panduga India 7 111 1.2× 59 0.7× 143 1.7× 76 1.7× 20 1.0× 8 244
Daniel Hoagland United States 7 282 2.9× 83 1.0× 174 2.1× 84 1.8× 25 1.2× 7 444

Countries citing papers authored by Sujin Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Sujin Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujin Ahn

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

All Works

8 of 8 papers shown
1.
Ahn, Sujin, et al.. (2022). Claustral MeCP2 Regulates Methamphetamine-induced Conditioned Place Preference in Cynomolgus Monkey. Experimental Neurobiology. 31(6). 390–400. 2 indexed citations
2.
Kim, Byung Sun, Sujin Ahn, Juhwan Kim, et al.. (2022). SYNCRIP controls miR-137 and striatal learning in animal models of methamphetamine abstinence. Acta Pharmaceutica Sinica B. 12(8). 3281–3297. 13 indexed citations
3.
Lee, Eunjung, Ju Young Park, Sujin Ahn, et al.. (2022). Abstract 1139: A novel HER2/4-1BB bispecific antibody, YH32367 (ABL105) exhibits the optimal efficacy and superior safety profile through tumor-directed 4-1BB agonism. Cancer Research. 82(12_Supplement). 1139–1139. 1 indexed citations
4.
Oh, Sangmi, Inhee Choi, Arnaud Ogier, et al.. (2020). Discovery of 4H-chromeno[2,3-d]pyrimidin-4-one derivatives as senescence inducers and their senescence-associated antiproliferative activities on cancer cells using advanced phenotypic assay. European Journal of Medicinal Chemistry. 209. 112550–112550. 5 indexed citations
5.
Park, Dong‐Sik, Eunji Jo, Jihyun Choi, et al.. (2017). Characterization and structure-activity relationship study of iminodipyridinopyrimidines as novel hepatitis C virus inhibitor. European Journal of Medicinal Chemistry. 140. 65–73. 10 indexed citations
6.
Windisch, Marc P., Soohyun Kim, Keumhyun Kim, et al.. (2014). Discovery of 2-iminobenzimidazoles as potent hepatitis C virus inhibitors with a novel mechanism of action. European Journal of Medicinal Chemistry. 78. 35–42. 14 indexed citations
7.
Kang, Sun‐Hee, Min Jung Seo, Saeyeon Lee, et al.. (2014). Lead Optimization of a Novel Series of Imidazo[1,2-a]pyridine Amides Leading to a Clinical Candidate (Q203) as a Multi- and Extensively-Drug-Resistant Anti-tuberculosis Agent. Journal of Medicinal Chemistry. 57(12). 5293–5305. 149 indexed citations
8.
Gianolio, Diego A., Luis Z. Avila, Lauren Young, et al.. (2008). Hyaluronan-Tethered Opioid Depots: Synthetic Strategies and Release KineticsIn VitroandIn Vivo. Bioconjugate Chemistry. 19(9). 1767–1774. 11 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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