Sun Kim

743 total citations · 1 hit paper
9 papers, 410 citations indexed

About

Sun Kim is a scholar working on Infectious Diseases, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Sun Kim has authored 9 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Economics and Econometrics. Recurrent topics in Sun Kim's work include Tuberculosis Research and Epidemiology (3 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 epidemiological studies (2 papers). Sun Kim is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), COVID-19 Pandemic Impacts (3 papers) and COVID-19 epidemiological studies (2 papers). Sun Kim collaborates with scholars based in United States, Brazil and South Korea. Sun Kim's co-authors include Márcia C. Castro, Susie Gurzenda, Beatriz Rache, Burton H. Singer, Karina Braga Ribeiro, Lorena Barberia, Ana Freitas Ribeiro, Jeffrey C. Blossom, Erin Abbott and Noreen Goldman and has published in prestigious journals such as Science, Nature Medicine and Clinical Infectious Diseases.

In The Last Decade

Sun Kim

7 papers receiving 395 citations

Hit Papers

Spatiotemporal pattern of COVID-19 spread in Brazil 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun Kim United States 6 170 107 81 73 73 9 410
Beatriz Rache Brazil 6 144 0.8× 109 1.0× 45 0.6× 90 1.2× 111 1.5× 7 484
Minghui Li United States 9 134 0.8× 151 1.4× 39 0.5× 94 1.3× 69 0.9× 19 450
Madhurima Nundy India 5 245 1.4× 102 1.0× 58 0.7× 124 1.7× 49 0.7× 12 378
Jeffrey C. Blossom United States 10 84 0.5× 61 0.6× 91 1.1× 89 1.2× 82 1.1× 24 450
Stephanie A. Dopson United States 5 133 0.8× 61 0.6× 57 0.7× 88 1.2× 59 0.8× 15 356
Karla Therese L. Sy United States 10 228 1.3× 97 0.9× 125 1.5× 203 2.8× 57 0.8× 22 560
Hajar Haghighi Iran 8 85 0.5× 88 0.8× 44 0.5× 80 1.1× 102 1.4× 18 438
Azam Raoofi Iran 8 127 0.7× 127 1.2× 27 0.3× 95 1.3× 71 1.0× 19 466
Francesca Palestra Switzerland 6 89 0.5× 82 0.8× 33 0.4× 77 1.1× 106 1.5× 12 446
André Peralta‐Santos Portugal 9 121 0.7× 140 1.3× 48 0.6× 89 1.2× 133 1.8× 27 596

Countries citing papers authored by Sun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Sun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun Kim

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

All Works

9 of 9 papers shown
1.
Kim, Sun, Daniele Maria Pelissari, Mauro Niskier Sanchez, et al.. (2025). Long-term Mortality Trends Among Individuals With Tuberculosis: A Retrospective Cohort Study of Individuals Diagnosed With Tuberculosis in Brazil. Clinical Infectious Diseases. 82(1). e1–e8.
2.
Thompson, Ryan, Sun Kim, Daniele Maria Pelissari, et al.. (2024). High Mortality Rates Among Individuals Misdiagnosed With Tuberculosis: A Matched Retrospective Cohort Study of Individuals Diagnosed With Tuberculosis in Brazil. The Journal of Infectious Diseases. 231(5). 1267–1270.
3.
Castro, Márcia C., Susie Gurzenda, Cássio M. Turra, et al.. (2023). Research Note: COVID-19 Is Not an Independent Cause of Death. Demography. 60(2). 343–349. 4 indexed citations
4.
Kim, Sun, et al.. (2022). Employment, Economic, and Sociodemographic Factors Associated with Changes in Smoking and Drinking Behaviors during the COVID-19 Pandemic in South Korea. International Journal of Environmental Research and Public Health. 19(5). 2802–2802. 10 indexed citations
5.
Castro, Márcia C., Sun Kim, Lorena Barberia, et al.. (2021). Spatiotemporal pattern of COVID-19 spread in Brazil. Science. 372(6544). 821–826. 201 indexed citations breakdown →
6.
Castro, Márcia C., Susie Gurzenda, Cássio M. Turra, et al.. (2021). Reduction in life expectancy in Brazil after COVID-19. Nature Medicine. 27(9). 1629–1635. 79 indexed citations
7.
Kim, Sun, Ted Cohen, C. Robert Horsburgh, et al.. (2021). Trends, Mechanisms, and Racial/Ethnic Differences of Tuberculosis Incidence in the US-Born Population Aged 50 Years or Older in the United States. Clinical Infectious Diseases. 74(9). 1594–1603. 13 indexed citations
8.
Kim, Sun & Márcia C. Castro. (2020). Spatiotemporal pattern of COVID-19 and government response in South Korea (as of May 31, 2020). International Journal of Infectious Diseases. 98. 328–333. 83 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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