Connie J. Kim

15 total papers · 890 total citations
15 papers, 707 citations indexed

About

Connie J. Kim is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Connie J. Kim has authored 15 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Virology, 9 papers in Infectious Diseases and 7 papers in Immunology. Recurrent topics in Connie J. Kim's work include HIV Research and Treatment (12 papers), HIV/AIDS Research and Interventions (9 papers) and HIV/AIDS drug development and treatment (3 papers). Connie J. Kim is often cited by papers focused on HIV Research and Treatment (12 papers), HIV/AIDS Research and Interventions (9 papers) and HIV/AIDS drug development and treatment (3 papers). Connie J. Kim collaborates with scholars based in Canada, United States and Kenya. Connie J. Kim's co-authors include Rupert Kaul, Colin Kovacs, Gabor Kandel, Mario Ostrowski, Duncan Chege, Mona Loutfy, Erika Benko, Sanja Huibner, Catherine Streutker and Joonho Cho and has published in prestigious journals such as Nature Medicine, The Journal of Immunology and PLoS ONE.

In The Last Decade

Connie J. Kim

15 papers receiving 703 citations

Author Peers

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

Author Last Decade Papers Cites
Connie J. Kim 357 320 262 137 121 15 707
Anne L. Jackson 357 1.0× 215 0.7× 247 0.9× 117 0.9× 58 0.5× 21 824
Thaidra Gaufin 272 0.8× 451 1.4× 278 1.1× 134 1.0× 63 0.5× 20 720
Esther Merlini 196 0.5× 512 1.6× 339 1.3× 150 1.1× 254 2.1× 26 731
Duncan Chege 430 1.2× 438 1.4× 331 1.3× 81 0.6× 116 1.0× 21 883
Angela M. Mexas 357 1.0× 589 1.8× 370 1.4× 69 0.5× 39 0.3× 23 843
Ousman Jobe 382 1.1× 208 0.7× 400 1.5× 111 0.8× 22 0.2× 27 891
Giusi Maria Bellistrì 226 0.6× 567 1.8× 362 1.4× 150 1.1× 302 2.5× 14 805
Ali Si Mohamed 147 0.4× 337 1.1× 410 1.6× 91 0.7× 37 0.3× 23 872
Miranda Z. Smith 429 1.2× 561 1.8× 270 1.0× 93 0.7× 38 0.3× 28 806
Philip Ellery 370 1.0× 578 1.8× 316 1.2× 87 0.6× 148 1.2× 13 804

Countries citing papers authored by Connie J. Kim

Since Specialization
Citations

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

Fields of papers citing papers by Connie J. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Connie J. Kim

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

All Works

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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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