Baek Kim

10.5k citations
188 papers · 7.6k · 1 hit paper · h-index 46

Impact in

Papers in

    • HIV Research and Treatment 114
    • RNA and protein synthesis mechanisms 13
    • CRISPR and Genetic Engineering 13

Baek Kim

187 papers receiving 7.6k citations

Baek Kim's Hit Papers

SAMHD1 restricts HIV-1 infection in resting CD4+ T cells 2012 · 463 citations
4630+4+9Years since publication100200300400

Peers

Baek Kim
Comparison fields: 5 of 134
  • Virology 3.4k
  • Infectious Diseases 2.2k
  • Immunology 2.1k
  • Epidemiology 2.0k
  • Molecular Biology 3.1k
Replace Li Wu with:
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Kalle Saksela Finland
David M. Markovitz United States
Frank Maldarelli United States
Anthony L. DeVico United States
Gerhard Hunsmann Germany
Oliver T. Keppler Germany
Jeremy Luban United States
José A. Esté Spain
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Baek Kim relative to Li Wu United States Li Wu's profile →
Citations per field
00.5×1.7×
Li Wu · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 188 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SAMHD1 restricts HIV-1 infection in resting CD4+ T cells
Hit paper breakdown →
2012463
2 2013255
3 2004239
4 2014225
5 2010210
6 2013209
7 2012177
8 2001175
9 2003174
10 2013137
11 2013131
12 1992123
13 2012122
14 2014122
15 2013116
16 2012111
17 2021108
18 2011107
19 2008103
20 202097

About Baek Kim

Baek Kim is a scholar working on Virology, Molecular Biology, Infectious Diseases, Epidemiology and Immunology, having authored 188 papers that have together received 7.6k indexed citations. Recurring topics across this work include HIV Research and Treatment (114 papers), HIV/AIDS drug development and treatment (63 papers), Cytomegalovirus and herpesvirus research (33 papers), interferon and immune responses (22 papers), HIV/AIDS Research and Interventions (22 papers), RNA and protein synthesis mechanisms (13 papers), CRISPR and Genetic Engineering (13 papers) and Influenza Virus Research Studies (11 papers). The work is most often cited by research in Virology (3.4k citations), Infectious Diseases (2.2k citations), Immunology (2.1k citations), Epidemiology (2.0k citations) and Molecular Biology (3.1k citations). Baek Kim has collaborated with scholars based in United States, South Korea and Germany. Frequent 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. Their work appears in journals such as Journal of Biological Chemistry, Virology, Retrovirology, Journal of Virology and Nature Communications.

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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