Daozhou Gao

6.6k total citations · 2 hit papers
66 papers, 3.9k citations indexed

About

Daozhou Gao is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Daozhou Gao has authored 66 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Modeling and Simulation, 36 papers in Public Health, Environmental and Occupational Health and 23 papers in Infectious Diseases. Recurrent topics in Daozhou Gao's work include COVID-19 epidemiological studies (47 papers), Mathematical and Theoretical Epidemiology and Ecology Models (27 papers) and Evolution and Genetic Dynamics (22 papers). Daozhou Gao is often cited by papers focused on COVID-19 epidemiological studies (47 papers), Mathematical and Theoretical Epidemiology and Ecology Models (27 papers) and Evolution and Genetic Dynamics (22 papers). Daozhou Gao collaborates with scholars based in China, United States and Hong Kong. Daozhou Gao's co-authors include Daihai He, Yijun Lou, Shi Zhao, Maggie Haitian Wang, Salihu S. Musa, Lin Yang, Weiming Wang, Shigui Ruan, Jinjun Ran and Guangpu Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Daozhou Gao

63 papers receiving 3.7k citations

Hit Papers

align trajectories sort by overperformance

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.

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak

2020 1.2k citations Shi Zhao, Jinjun Ran et al. profile →
A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action

2020 761 citations Qianying Lin, Shi Zhao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daozhou Gao China	24	2.5k	1.5k	1.4k	736	437	66	3.9k
Yijun Lou Hong Kong	27	2.5k 1.0×	1.6k 1.0×	1.7k 1.2×	739 1.0×	747 1.7×	87	4.4k
Biao Tang China	22	2.0k 0.8×	1.1k 0.7×	1.0k 0.7×	619 0.8×	297 0.7×	71	2.9k
Salihu S. Musa Hong Kong	21	2.3k 0.9×	1.5k 1.0×	803 0.6×	751 1.0×	143 0.3×	66	3.3k
Seyed M. Moghadas Canada	34	2.7k 1.1×	1.7k 1.1×	1.2k 0.9×	488 0.7×	568 1.3×	157	4.7k
Daihai He Hong Kong	36	4.0k 1.6×	3.0k 1.9×	1.6k 1.1×	1.2k 1.7×	360 0.8×	225	6.8k
Yonatan H. Grad United States	42	1.9k 0.8×	2.3k 1.5×	648 0.5×	523 0.7×	341 0.8×	142	7.6k
Chiara Poletto France	27	1.8k 0.7×	882 0.6×	640 0.5×	544 0.7×	156 0.4×	58	3.1k
Kamran Khan Canada	37	1.4k 0.6×	1.9k 1.2×	1.9k 1.4×	363 0.5×	144 0.3×	116	4.4k
Yanni Xiao China	39	3.7k 1.5×	1.7k 1.1×	3.2k 2.3×	784 1.1×	1.5k 3.3×	180	6.4k
Christian L. Althaus Switzerland	30	1.3k 0.5×	1.4k 0.9×	532 0.4×	360 0.5×	223 0.5×	80	3.5k

Countries citing papers authored by Daozhou Gao

Since Specialization

Citations

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

Fields of papers citing papers by Daozhou Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daozhou Gao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Gao, Daozhou & Yuan Lou. (2025). Effect of host movement on the prevalence of vector-borne diseases. Journal of Mathematical Biology. 91(3). 33–33.

Gao, Daozhou & Xin Li. (2025). Nonhomogeneous mixing reduces disease prevalence. Mathematical Biosciences. 388. 109521–109521. 1 indexed citations

Gao, Daozhou, et al.. (2024). A hybrid Lagrangian–Eulerian model for vector-borne diseases. Journal of Mathematical Biology. 89(2). 16–16. 4 indexed citations

Gao, Daozhou, et al.. (2024). Vector-borne disease models with Lagrangian approach. Journal of Mathematical Biology. 88(2). 22–22. 7 indexed citations

Zhang, Zhijie, et al.. (2023). Effects of behaviour change on HFMD transmission. Journal of Biological Dynamics. 17(1). 2244968–2244968.

Gao, Daozhou, et al.. (2022). Effects of Asymptomatic Infections on the Spatial Spread of Infectious Diseases. SIAM Journal on Applied Mathematics. 82(3). 899–923. 7 indexed citations

Gao, Daozhou & Yuan Lou. (2022). Total biomass of a single population in two-patch environments. Theoretical Population Biology. 146. 1–14. 16 indexed citations

Zhao, Shi, Yu Zhao, Biao Tang, et al.. (2021). Shrinkage in serial intervals across transmission generations of COVID-19. Journal of Theoretical Biology. 529. 110861–110861. 1 indexed citations

Gao, Daozhou & Yuan Lou. (2021). Impact of State-Dependent Dispersal on Disease Prevalence. Journal of Nonlinear Science. 31(5). 73–73. 21 indexed citations

10.

Lou, Yijun, et al.. (2021). A Zika Endemic Model for the Contribution of Multiple Transmission Routes. Bulletin of Mathematical Biology. 83(11). 111–111. 15 indexed citations

11.

Gao, Daozhou, et al.. (2020). Mathematical Analysis of the Ross–Macdonald Model with Quarantine. Bulletin of Mathematical Biology. 82(4). 47–47. 13 indexed citations

12.

Musa, Salihu S., Shi Zhao, Daozhou Gao, et al.. (2020). Mechanistic modelling of the large-scale Lassa fever epidemics in Nigeria from 2016 to 2019. Journal of Theoretical Biology. 493. 110209–110209. 58 indexed citations

13.

Gao, Daozhou. (2020). How Does Dispersal Affect the Infection Size?. SIAM Journal on Applied Mathematics. 80(5). 2144–2169. 42 indexed citations

14.

Zhao, Shi, Salihu S. Musa, Qianying Lin, et al.. (2020). Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak. Journal of Clinical Medicine. 9(2). 388–388. 302 indexed citations

15.

Zhao, Shi, Zian Zhuang, Peihua Cao, et al.. (2020). Quantifying the association between domestic travel and the exportation of novel coronavirus (2019-nCoV) cases from Wuhan, China in 2020: a correlational analysis. Journal of Travel Medicine. 27(2). 66 indexed citations

16.

Gao, Daozhou, P. van den Driessche, & Chris Cosner. (2019). Habitat fragmentation promotes malaria persistence. Journal of Mathematical Biology. 79(6-7). 2255–2280. 22 indexed citations

17.

He, Daihai, Xueying Wang, Daozhou Gao, & Jin Wang. (2018). Modeling the 2016–2017 Yemen cholera outbreak with the impact of limited medical resources. Journal of Theoretical Biology. 451. 80–85. 32 indexed citations

18.

Zhao, Shi, Lewi Stone, Daozhou Gao, & Daihai He. (2018). Modelling the large-scale yellow fever outbreak in Luanda, Angola, and the impact of vaccination. PLoS neglected tropical diseases. 12(1). e0006158–e0006158. 84 indexed citations

19.

Gao, Daozhou, et al.. (2016). Mass drug administration: the importance of synchrony. Mathematical Medicine and Biology A Journal of the IMA. 34(2). 241–260. 6 indexed citations

20.

Gao, Daozhou, Thomas M. Lietman, & Travis C. Porco. (2015). Antibiotic resistance as collateral damage: The tragedy of the commons in a two-disease setting. Mathematical Biosciences. 263. 121–132. 10 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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