Baek Kim

10.3k total citations · 1 hit paper
187 papers, 7.5k citations indexed

About

Baek Kim is a scholar working on Virology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Baek Kim has authored 187 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Virology, 86 papers in Molecular Biology and 81 papers in Infectious Diseases. Recurrent topics in Baek Kim's work include HIV Research and Treatment (116 papers), HIV/AIDS drug development and treatment (70 papers) and Cytomegalovirus and herpesvirus research (40 papers). Baek Kim is often cited by papers focused on HIV Research and Treatment (116 papers), HIV/AIDS drug development and treatment (70 papers) and Cytomegalovirus and herpesvirus research (40 papers). Baek Kim collaborates with scholars based in United States, South Korea and Germany. Baek Kim's co-authors include Joseph A. Hollenbaugh, Sarah M. Amie, Laura A. Nguyen, John W. Little, Waaqo Daddacha, Robert A. Bambara, Raymond F. Schinazi, Vicente Planelles, Felipe Diaz‐Griffero and Dong‐Hyun Kim and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Baek Kim

187 papers receiving 7.4k citations

Hit Papers

SAMHD1 restricts HIV-1 in... 2012 2026 2016 2021 2012 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Baek Kim 3.5k 3.2k 2.4k 2.3k 2.2k 187 7.5k
Yutaka Takebe 3.1k 0.9× 2.4k 0.7× 3.1k 1.3× 2.5k 1.1× 1.7k 0.8× 158 8.6k
Éric A. Cohen 5.1k 1.5× 2.9k 0.9× 2.7k 1.1× 2.2k 1.0× 1.7k 0.8× 175 7.6k
Kalle Saksela 3.3k 0.9× 2.8k 0.9× 2.3k 1.0× 2.0k 0.9× 1.1k 0.5× 123 7.6k
Louis E. Henderson 4.4k 1.2× 4.5k 1.4× 2.5k 1.1× 1.9k 0.8× 1.5k 0.7× 94 8.9k
Jan Münch 2.8k 0.8× 2.3k 0.7× 2.6k 1.1× 2.0k 0.9× 1.4k 0.7× 182 7.3k
Joachim Hauber 3.7k 1.0× 6.4k 2.0× 1.8k 0.8× 2.6k 1.1× 1.2k 0.5× 146 10.2k
Vinay K. Pathak 5.0k 1.4× 3.8k 1.2× 3.5k 1.5× 1.3k 0.5× 1.8k 0.8× 160 8.0k
Mario Stevenson 8.7k 2.5× 4.0k 1.2× 5.2k 2.2× 3.7k 1.6× 2.3k 1.1× 173 12.4k
Oliver T. Keppler 2.6k 0.7× 2.3k 0.7× 1.5k 0.6× 2.0k 0.9× 1.3k 0.6× 135 5.8k
Gerhard Hunsmann 2.7k 0.8× 2.3k 0.7× 1.6k 0.7× 2.2k 0.9× 1.6k 0.7× 219 7.2k

Countries citing papers authored by Baek Kim

Since Specialization
Citations

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

Fields of papers citing papers by Baek Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baek Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Baek Kim. A scholar is included among the top collaborators of Baek Kim 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 Baek Kim. Baek Kim 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.
Oo, Adrian, Zhenhang Chen, Dongdong Cao, et al.. (2024). Biochemical simulation of mutation synthesis and repair during SARS-CoV-2 RNA polymerization. Virology. 600. 110255–110255. 1 indexed citations
2.
Oo, Adrian, Yujie Liu, Zhaojun Qiu, et al.. (2024). The thioredoxin system determines CHK1 inhibitor sensitivity via redox-mediated regulation of ribonucleotide reductase activity. Nature Communications. 15(1). 4667–4667. 6 indexed citations
3.
Annamalai, Arun S., Franck Amblard, James R. Fuchs, et al.. (2024). The structural and mechanistic bases for the viral resistance to allosteric HIV-1 integrase inhibitor pirmitegravir. mBio. 15(11). e0046524–e0046524. 2 indexed citations
4.
Medo, Matúš, Manja Friese‐Hamim, Si’Ana A. Coggins, et al.. (2024). E2F1-Associated Purine Synthesis Pathway Is a Major Component of the MET-DNA Damage Response Network. Cancer Research Communications. 4(7). 1863–1880. 1 indexed citations
6.
Maehigashi, Tatsuya, Kirsten M. Knecht, William G. Kelly, et al.. (2023). Biochemical functions and structure of Caenorhabditis elegans ZK177.8 protein: Aicardi–Goutières syndrome SAMHD1 dNTPase ortholog. Journal of Biological Chemistry. 299(9). 105148–105148. 2 indexed citations
7.
Annamalai, Arun S., Nicola Cook, Valerie E. Pye, et al.. (2023). The Drug-Induced Interface That Drives HIV-1 Integrase Hypermultimerization and Loss of Function. mBio. 14(1). e0356022–e0356022. 5 indexed citations
8.
Yang, Taehwan, Deepali L. Kundnani, Stefania Marsili, et al.. (2023). Light-strand bias and enriched zones of embedded ribonucleotides are associated with DNA replication and transcription in the human-mitochondrial genome. Nucleic Acids Research. 52(3). 1207–1225. 2 indexed citations
9.
Kapoor-Vazirani, Priya, Sandip Kumar Rath, Xu Liu, et al.. (2022). SAMHD1 deacetylation by SIRT1 promotes DNA end resection by facilitating DNA binding at double-strand breaks. Nature Communications. 13(1). 6707–6707. 17 indexed citations
10.
Sun, Tianai, Chien‐Kuang Cornelia Ding, Yuning Zhang, et al.. (2022). MESH1 knockdown triggers proliferation arrest through TAZ repression. Cell Death and Disease. 13(3). 221–221. 7 indexed citations
11.
Zelli, Renaud, G. Alan Wang, Adrian Oo, et al.. (2022). Nucleotide Analogues Bearing a C2′ or C3′-Stereogenic All-Carbon Quaternary Center as SARS-CoV-2 RdRp Inhibitors. Molecules. 27(2). 564–564. 6 indexed citations
12.
Maehigashi, Tatsuya, Jared Lindenberger, Adrian Oo, et al.. (2021). A highly potent and safe pyrrolopyridine-based allosteric HIV-1 integrase inhibitor targeting host LEDGF/p75-integrase interaction site. PLoS Pathogens. 17(7). e1009671–e1009671. 21 indexed citations
13.
Nguyen, David H., Joella Xu, Kejun Guo, et al.. (2021). SAMHD1 Promotes the Antiretroviral Adaptive Immune Response in Mice Exposed to Lipopolysaccharide. The Journal of Immunology. 208(2). 444–453. 3 indexed citations
14.
Bothou, Christina, Ashish Sharma, Adrian Oo, et al.. (2021). Novel Insights into the Molecular Regulation of Ribonucleotide Reductase in Adrenocortical Carcinoma Treatment. Cancers. 13(16). 4200–4200. 11 indexed citations
15.
Lin, Z. Ping, et al.. (2021). In silico screening identifies a novel small molecule inhibitor that counteracts PARP inhibitor resistance in ovarian cancer. Scientific Reports. 11(1). 8042–8042. 9 indexed citations
16.
Basbous, Jihane, Antoine Aze, Laurent Chaloin, et al.. (2019). Dihydropyrimidinase protects from DNA replication stress caused by cytotoxic metabolites. Nucleic Acids Research. 48(4). 1886–1904. 15 indexed citations
17.
Mlčochová, Petra, Sarah A. Watters, Cosetta Bertoli, et al.. (2017). A G1‐like state allows HIV ‐1 to bypass SAMHD 1 restriction in macrophages. The EMBO Journal. 36(5). 604–616. 76 indexed citations
18.
Hollenbaugh, Joseph A., Sijia Tao, Gina M. Lenzi, et al.. (2014). dNTP pool modulation dynamics by SAMHD1 protein in monocyte-derived macrophages. Retrovirology. 11(1). 63–63. 1 indexed citations
19.
Jeong, Jin-Ju, Baek Kim, & Dong‐Hyun Kim. (2014). Ginsenoside Rb1 Eliminates HIV-1 (D3)-Transduced Cytoprotective Human Macrophages by Inhibiting the AKT Pathway. Journal of Medicinal Food. 17(8). 849–854. 23 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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