Eunha Shim

3.0k total citations · 1 hit paper
63 papers, 2.0k citations indexed

About

Eunha Shim is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Eunha Shim has authored 63 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Modeling and Simulation, 31 papers in Epidemiology and 27 papers in Infectious Diseases. Recurrent topics in Eunha Shim's work include COVID-19 epidemiological studies (41 papers), Influenza Virus Research Studies (22 papers) and Vaccine Coverage and Hesitancy (14 papers). Eunha Shim is often cited by papers focused on COVID-19 epidemiological studies (41 papers), Influenza Virus Research Studies (22 papers) and Vaccine Coverage and Hesitancy (14 papers). Eunha Shim collaborates with scholars based in South Korea, United States and United Kingdom. Eunha Shim's co-authors include Alison P. Galvani, Wongyeong Choi, Gerardo Chowell, Amna Tariq, Yiseul Lee, Gretchen B. Chapman, Jeffrey P. Townsend, Lauren Ancel Meyers, Carlos Castillo‐Chávez and Katherine E. Atkins and has published in prestigious journals such as PLoS ONE, American Journal of Epidemiology and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Eunha Shim

61 papers receiving 2.0k citations

Hit Papers

Transmission potential and severity of COVID-19 in South ... 2020 2026 2022 2024 2020 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eunha Shim South Korea 27 1.0k 732 486 437 357 63 2.0k
Piero Poletti Italy 31 1.2k 1.2× 984 1.3× 704 1.4× 834 1.9× 327 0.9× 76 2.5k
Gianpaolo Scalia Tomba Italy 16 1.9k 1.8× 706 1.0× 1.4k 2.8× 421 1.0× 319 0.9× 45 2.8k
Jonathan M. Read United Kingdom 28 1.5k 1.4× 1.2k 1.7× 1.1k 2.2× 485 1.1× 230 0.6× 93 3.4k
Ruian Ke United States 21 815 0.8× 1.2k 1.6× 393 0.8× 204 0.5× 196 0.5× 55 2.3k
Janneke C. M. Heijne Netherlands 23 1.5k 1.4× 1.1k 1.5× 1.5k 3.1× 427 1.0× 370 1.0× 75 3.2k
Magdalena Rosińska Poland 17 1.4k 1.4× 1.0k 1.4× 1.4k 2.8× 381 0.9× 317 0.9× 147 2.9k
Marco Massari Italy 21 1.5k 1.5× 823 1.1× 1.6k 3.2× 348 0.8× 385 1.1× 43 3.2k
Lyn James Singapore 26 906 0.9× 1.4k 1.9× 926 1.9× 873 2.0× 206 0.6× 65 3.2k
Julien Riou France 22 769 0.8× 952 1.3× 778 1.6× 285 0.7× 158 0.4× 111 2.9k
Martial L. Ndeffo-Mbah United States 27 786 0.8× 1.1k 1.5× 807 1.7× 658 1.5× 156 0.4× 78 2.5k

Countries citing papers authored by Eunha Shim

Since Specialization
Citations

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

Fields of papers citing papers by Eunha Shim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eunha Shim

This figure shows the co-authorship network connecting the top 25 collaborators of Eunha Shim. A scholar is included among the top collaborators of Eunha Shim 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 Eunha Shim. Eunha Shim 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.
Choi, Wongyeong & Eunha Shim. (2023). Assessing the cost-effectiveness of annual COVID-19 booster vaccination in South Korea using a transmission dynamic model. Frontiers in Public Health. 11. 1280412–1280412. 3 indexed citations
3.
Tariq, Amna, Tsira Chakhaia, Sushma Dahal, et al.. (2022). An investigation of spatial-temporal patterns and predictions of the coronavirus 2019 pandemic in Colombia, 2020–2021. PLoS neglected tropical diseases. 16(3). e0010228–e0010228. 8 indexed citations
4.
Lim, Jun‐Sik, et al.. (2021). Temporal Changes in the Risk of Superspreading Events of Coronavirus Disease 2019. Open Forum Infectious Diseases. 8(7). ofab350–ofab350. 12 indexed citations
5.
Husnayain, Atina, Eunha Shim, Anis Fuad, & Emily Chia‐Yu Su. (2021). Predicting New Daily COVID-19 Cases and Deaths Using Search Engine Query Data in South Korea From 2020 to 2021: Infodemiology Study. Journal of Medical Internet Research. 23(12). e34178–e34178. 11 indexed citations
6.
Choi, Wongyeong & Eunha Shim. (2020). Optimal strategies for vaccination and social distancing in a game-theoretic epidemiologic model. Journal of Theoretical Biology. 505. 110422–110422. 43 indexed citations
7.
Smith, Kenneth J., Mary Patricia Nowalk, Jonathan M. Raviotta, et al.. (2019). Compressed Influenza Vaccination in U.S. Older Adults: A Decision Analysis. American Journal of Preventive Medicine. 56(4). e135–e141. 3 indexed citations
8.
DePasse, Jay V., Mary Patricia Nowalk, Kenneth J. Smith, et al.. (2019). Exploring the potential public health benefits of universal influenza vaccine. Human Vaccines & Immunotherapeutics. 15(12). 2919–2926. 2 indexed citations
9.
Wateska, Angela R., Mary Patricia Nowalk, Jay V. DePasse, et al.. (2018). Potential Cost-Effectiveness of a Universal Influenza Vaccine in Older Adults. Innovation in Aging. 2(3). igy035–igy035. 3 indexed citations
10.
Raviotta, Jonathan M., Kenneth J. Smith, Jay V. DePasse, et al.. (2017). Cost-effectiveness and public health impact of alternative influenza vaccination strategies in high-risk adults. Vaccine. 35(42). 5708–5713. 13 indexed citations
11.
Smith, Kenneth J., Jonathan M. Raviotta, Jay V. DePasse, et al.. (2016). Cost Effectiveness of Influenza Vaccine Choices in Children Aged 2–8 Years in the U.S.. American Journal of Preventive Medicine. 50(5). 600–608. 10 indexed citations
12.
Shim, Eunha, Shawn T. Brown, Jay V. DePasse, et al.. (2016). Cost Effectiveness of Influenza Vaccine for U.S. Children. American Journal of Preventive Medicine. 51(3). 309–317. 12 indexed citations
13.
Shim, Eunha, Gretchen B. Chapman, Jeffrey P. Townsend, & Alison P. Galvani. (2012). The influence of altruism on influenza vaccination decisions. Journal of The Royal Society Interface. 9(74). 2234–2243. 173 indexed citations
14.
Shim, Eunha & Alison P. Galvani. (2012). Distinguishing vaccine efficacy and effectiveness. Vaccine. 30(47). 6700–6705. 58 indexed citations
15.
Pitzer, Virginia E., Katherine E. Atkins, Birgitte Freiesleben de Blasio, et al.. (2012). Direct and Indirect Effects of Rotavirus Vaccination: Comparing Predictions from Transmission Dynamic Models. PLoS ONE. 7(8). e42320–e42320. 54 indexed citations
16.
Cornforth, Daniel M., Timothy C. Reluga, Eunha Shim, et al.. (2011). Erratic Flu Vaccination Emerges from Short-Sighted Behavior in Contact Networks. PLoS Computational Biology. 7(1). e1001062–e1001062. 60 indexed citations
17.
Shim, Eunha, et al.. (2009). Insights from epidemiological game theory into gender-specific vaccination against rubella. Mathematical Biosciences & Engineering. 6(4). 839–854. 30 indexed citations
18.
Shim, Eunha, Katie Hampson, Sarah Cleaveland, & Alison P. Galvani. (2009). Evaluating the cost-effectiveness of rabies post-exposure prophylaxis: A case study in Tanzania. Vaccine. 27(51). 7167–7172. 44 indexed citations
19.
Shim, Eunha, Zhilan Feng, Maia Martcheva, & Carlos Castillo‐Chávez. (2006). An age-structured epidemic model of rotavirus with vaccination. Journal of Mathematical Biology. 53(4). 719–746. 73 indexed citations
20.
Chowell, Gerardo, et al.. (2005). Modelling the transmission dynamics of acute haemorrhagic conjunctivitis: application to the 2003 outbreak in Mexico. Statistics in Medicine. 25(11). 1840–1857. 26 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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