Leesa Lin

4.7k total citations · 2 hit papers
102 papers, 2.7k citations indexed

About

Leesa Lin is a scholar working on Health, Sociology and Political Science and Epidemiology. According to data from OpenAlex, Leesa Lin has authored 102 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Health, 37 papers in Sociology and Political Science and 24 papers in Epidemiology. Recurrent topics in Leesa Lin's work include Vaccine Coverage and Hesitancy (47 papers), Misinformation and Its Impacts (26 papers) and COVID-19 epidemiological studies (20 papers). Leesa Lin is often cited by papers focused on Vaccine Coverage and Hesitancy (47 papers), Misinformation and Its Impacts (26 papers) and COVID-19 epidemiological studies (20 papers). Leesa Lin collaborates with scholars based in United Kingdom, China and United States. Leesa Lin's co-authors include Kasisomayajula Viswanath, Xudong Zhou, Elena Savoia, Heidi J. Larson, Zhiyuan Hou, Minsoo Jung, Liuqing Yang, Hui Jin, Qiang Wang and Xiaomin Wang and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Leesa Lin

99 papers receiving 2.6k citations

Hit Papers

Vaccination against COVID... 2021 2026 2022 2024 2021 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Vaccination against COVID-19: A systematic review and meta-analysis of acceptability and its predictors
    2021 215 citations Qiang Wang, Liuqing Yang et al. profile →
  2. Global antimicrobial-resistance drivers: an ecological country-level study at the human–animal interface
    2023 127 citations Leesa Lin et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Leesa Lin 1.0k 857 555 448 418 102 2.7k
Md Saiful Islam 607 0.6× 718 0.8× 1.1k 1.9× 649 1.4× 341 0.8× 150 3.4k
Alison M. Buttenheim 1.5k 1.4× 722 0.8× 537 1.0× 810 1.8× 269 0.6× 158 3.5k
Alberto Giubilini 967 0.9× 518 0.6× 500 0.9× 91 0.2× 150 0.4× 65 2.0k
Laura B Nellums 655 0.6× 438 0.5× 798 1.4× 434 1.0× 1.3k 3.1× 99 3.2k
Irfan Ullah 459 0.4× 386 0.5× 577 1.0× 160 0.4× 815 1.9× 240 2.5k
Owen Dyer 373 0.4× 346 0.4× 808 1.5× 265 0.6× 321 0.8× 693 3.1k
Jeremy K. Ward 1.9k 1.9× 859 1.0× 856 1.5× 503 1.1× 194 0.5× 83 2.5k
Helen Lambert 222 0.2× 592 0.7× 304 0.5× 315 0.7× 506 1.2× 93 2.4k
Tafadzwa Dzinamarira 310 0.3× 216 0.3× 806 1.5× 358 0.8× 255 0.6× 205 1.9k
Steven J. Hoffman 187 0.2× 511 0.6× 241 0.4× 242 0.5× 151 0.4× 150 3.7k

Countries citing papers authored by Leesa Lin

Since Specialization
Citations

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

Fields of papers citing papers by Leesa Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leesa Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Leesa Lin. A scholar is included among the top collaborators of Leesa Lin 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 Leesa Lin. Leesa Lin 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, Yongjin, Kathy Leung, Joseph T. Wu, Heidi J. Larson, & Leesa Lin. (2025). Identifying vaccine-hesitant subgroups in the Western Pacific using latent class analysis. npj Vaccines. 10(1). 29–29. 3 indexed citations
2.
Larson, Heidi J. & Leesa Lin. (2024). Generative artificial intelligence can have a role in combating vaccine hesitancy. BMJ. 384. q69–q69. 9 indexed citations
3.
Wang, Qiang, et al.. (2024). A Prediction Model for Identifying Seasonal Influenza Vaccination Uptake Among Children in Wuxi, China: Prospective Observational Study. JMIR Public Health and Surveillance. 10. e56064–e56064. 1 indexed citations
4.
Cook, Alex R., et al.. (2024). Comparing role of religion in perception of the COVID-19 vaccines in Africa and Asia Pacific. SHILAP Revista de lepidopterología. 4(1). 212–212. 3 indexed citations
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Wu, Zhendong, et al.. (2024). Mapping global public perspectives on mRNA vaccines and therapeutics. npj Vaccines. 9(1). 218–218. 3 indexed citations
7.
Li, Yifan, Weiming Tang, Shenglan Tang, et al.. (2024). Between now and later: a mixed methods study of HPV vaccination delay among Chinese caregivers in urban Chengdu, China. BMC Public Health. 24(1). 183–183. 4 indexed citations
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Dabak, Saudamini Vishwanath, Minah Park, Alex R. Cook, et al.. (2023). Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore. npj Digital Medicine. 6(1). 96–96. 16 indexed citations
11.
Pertwee, Ed, et al.. (2023). Conversational AI and Vaccine Communication: Systematic Review of the Evidence. Journal of Medical Internet Research. 25. e42758–e42758. 16 indexed citations
12.
Wang, Qiang, Liuqing Yang, Tingting Cui, et al.. (2022). Changes in Parental Attitudes Toward COVID-19 Vaccination and Routine Childhood Vaccination During the COVID-19 Pandemic: Repeated Cross-sectional Survey Study. JMIR Public Health and Surveillance. 8(5). e33235–e33235. 15 indexed citations
13.
Hou, Zhiyuan, Suhang Song, Fanxing Du, et al.. (2021). The Influence of the COVID-19 Epidemic on Prevention and Vaccination Behaviors Among Chinese Children and Adolescents: Cross-sectional Online Survey Study. JMIR Public Health and Surveillance. 7(5). e26372–e26372. 23 indexed citations
14.
Wang, Zhicheng, et al.. (2021). The Uncounted Casualties of a Hidden COVID-19 Epidemic in China: Cross-sectional Study on Deaths Related to Overwork. Journal of Medical Internet Research. 23(4). e23311–e23311. 6 indexed citations
15.
Zhou, Xinyu, Yi Song, Qian Wang, et al.. (2021). Comparison of Public Responses to Containment Measures During the Initial Outbreak and Resurgence of COVID-19 in China: Infodemiology Study. Journal of Medical Internet Research. 23(4). e26518–e26518. 19 indexed citations
16.
Lin, Leesa, Yi Song, Qian Wang, et al.. (2021). Public Attitudes and Factors of COVID-19 Testing Hesitancy in the United Kingdom and China: Comparative Infodemiology Study. SHILAP Revista de lepidopterología. 1(1). e26895–e26895. 17 indexed citations
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Lin, Leesa. (2015). Are we prepared for the next pandemic threat? A national representative study on 2013 MERS outbreak. 2015 APHA Annual Meeting & Expo (Oct. 31 - Nov. 4, 2015). 1 indexed citations
20.
Savoia, Elena, Leesa Lin, & Kasisomayajula Viswanath. (2013). Communications in Public Health Emergency Preparedness: A Systematic Review of the Literature. Biosecurity and Bioterrorism Biodefense Strategy Practice and Science. 11(3). 170–184. 69 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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