Guo-Jing Yang

2.1k total citations · 1 hit paper
60 papers, 1.5k citations indexed

About

Guo-Jing Yang is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Ecology. According to data from OpenAlex, Guo-Jing Yang has authored 60 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Parasitology, 34 papers in Public Health, Environmental and Occupational Health and 14 papers in Ecology. Recurrent topics in Guo-Jing Yang's work include Parasites and Host Interactions (34 papers), Zoonotic diseases and public health (19 papers) and Parasite Biology and Host Interactions (14 papers). Guo-Jing Yang is often cited by papers focused on Parasites and Host Interactions (34 papers), Zoonotic diseases and public health (19 papers) and Parasite Biology and Host Interactions (14 papers). Guo-Jing Yang collaborates with scholars based in China, Switzerland and United Kingdom. Guo-Jing Yang's co-authors include Xiao‐Nong Zhou, María‐Gloria Basáñez, James McCarthy, Roger K. Prichard, Jürg Utzinger, Sara Lustigman, Banchob Sripa, Héctor H. Garcı́a, Robert Bergquist and Marcel Tanner and has published in prestigious journals such as SHILAP Revista de lepidopterología, BMJ and The Lancet Infectious Diseases.

In The Last Decade

Guo-Jing Yang

55 papers receiving 1.5k citations

Hit Papers

Discrepancies in neglected tropical diseases burden estim... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo-Jing Yang China 22 917 603 483 292 288 60 1.5k
Romano Ngui Malaysia 22 1.1k 1.2× 582 1.0× 462 1.0× 431 1.5× 224 0.8× 89 1.7k
Albis Francesco Gabrielli Switzerland 22 1.2k 1.3× 640 1.1× 302 0.6× 165 0.6× 357 1.2× 43 1.5k
Federica Giardina Netherlands 14 528 0.6× 342 0.6× 189 0.4× 336 1.2× 146 0.5× 31 1.1k
Virak Khieu Cambodia 25 1.7k 1.9× 1.1k 1.8× 397 0.8× 334 1.1× 520 1.8× 59 2.1k
Lydia Leonardo Philippines 18 867 0.9× 595 1.0× 343 0.7× 94 0.3× 180 0.6× 62 1.1k
Charles Mwandawiro Kenya 29 1.4k 1.5× 649 1.1× 919 1.9× 411 1.4× 316 1.1× 103 2.3k
Steven K. Ault United States 15 676 0.7× 243 0.4× 581 1.2× 353 1.2× 146 0.5× 28 1.6k
Anna‐Sofie Stensgaard Denmark 19 681 0.7× 606 1.0× 389 0.8× 188 0.6× 144 0.5× 34 1.1k
Kigbafori D. Silué Ivory Coast 23 1.3k 1.4× 666 1.1× 439 0.9× 158 0.5× 287 1.0× 55 1.6k
Eveline Hürlimann Switzerland 21 1000 1.1× 553 0.9× 297 0.6× 152 0.5× 274 1.0× 46 1.3k

Countries citing papers authored by Guo-Jing Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guo-Jing Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guo-Jing Yang. 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 Guo-Jing Yang. The network helps show where Guo-Jing Yang may publish in the future.

Co-authorship network of co-authors of Guo-Jing Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guo-Jing Yang. A scholar is included among the top collaborators of Guo-Jing Yang 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 Guo-Jing Yang. Guo-Jing Yang 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.
Yang, Guo-Jing, et al.. (2025). Discrepancies in neglected tropical diseases burden estimates in China: comparative study of real-world data and Global Burden of Disease 2021 data (2004-2020). BMJ. 388. e080969–e080969. 14 indexed citations breakdown →
2.
Li, Weihao, Hong Li, Liying Wang, et al.. (2025). Global estimation of dengue disability weights based on clinical manifestations data. Infectious Diseases of Poverty. 14(1). 44–44. 1 indexed citations
3.
Fyfe, Jenna, et al.. (2024). Impact of COVID-19 on the neglected tropical diseases: a scoping review. Infectious Diseases of Poverty. 13(1). 55–55. 9 indexed citations
4.
Welburn, Susan C., et al.. (2024). Spatiotemporal Distribution of Human Rabies and Identification of Predominant Risk Factors in China from 2004 to 2020. PLoS neglected tropical diseases. 18(10). e0012557–e0012557.
5.
Fall, Ibrahima Socé, et al.. (2024). Spatial-temporal distribution of neglected tropical diseases burdens in China from 2005 to 2020. Infectious Diseases of Poverty. 13(1). 64–64. 2 indexed citations
6.
Bi, Bo, et al.. (2024). Intervention portfolios analysis of Plasmodium vivax control in central China. Malaria Journal. 23(1). 242–242.
7.
Welburn, Susan C., et al.. (2023). Progress towards dog-mediated rabies elimination in PR China: a scoping review. Infectious Diseases of Poverty. 12(1). 30–30. 13 indexed citations
8.
Yang, Guo-Jing & Xiao‐Nong Zhou. (2023). One Health concept: Viewed by Chinese traditional philosophy from a millennial history. SHILAP Revista de lepidopterología. 1 indexed citations
9.
Golumbeanu, Monica, Guo-Jing Yang, Flavia Camponovo, et al.. (2022). Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions. Infectious Diseases of Poverty. 11(1). 61–61. 15 indexed citations
10.
Zheng, Jinxin, Benyun Shi, Shang Xia, Guo-Jing Yang, & Xiao‐Nong Zhou. (2021). Spatial patterns of <em>Plasmodium vivax</em> transmission explored by multivariate auto-regressive state-space modelling - A case study in Baoshan Prefecture in southern China. Geospatial health. 16(1). 1 indexed citations
12.
Shi, Benyun, et al.. (2017). Risk assessment of malaria transmission at the border area of China and Myanmar. Infectious Diseases of Poverty. 6(1). 108–108. 21 indexed citations
13.
Yang, Guo-Jing, Lu Liu, Siân Griffiths, et al.. (2014). China's sustained drive to eliminate neglected tropical diseases. The Lancet Infectious Diseases. 14(9). 881–892. 88 indexed citations
15.
Wiwanitkit, Viroj, et al.. (2013). Research priorities in modeling the transmission risks of H7N9 bird flu. Infectious Diseases of Poverty. 2(1). 17–17. 13 indexed citations
16.
Shi, Benyun, Shang Xia, Guo-Jing Yang, Xiao‐Nong Zhou, & Jiming Liu. (2013). Inferring the potential risks of H7N9 infection by spatiotemporally characterizing bird migration and poultry distribution in eastern China. Infectious Diseases of Poverty. 2(1). 8–8. 24 indexed citations
17.
Qian, Men‐Bao, Ying-Dan Chen, Song Liang, Guo-Jing Yang, & Xiao‐Nong Zhou. (2012). The global epidemiology of clonorchiasis and its relation with cholangiocarcinoma. Infectious Diseases of Poverty. 1(1). 4–4. 138 indexed citations
18.
McCarthy, James, Sara Lustigman, Guo-Jing Yang, et al.. (2012). A Research Agenda for Helminth Diseases of Humans: Diagnostics for Control and Elimination Programmes. PLoS neglected tropical diseases. 6(4). e1601–e1601. 133 indexed citations
19.
Yang, Kun, Xian-Hong Wang, Guo-Jing Yang, et al.. (2008). An integrated approach to identify distribution of Oncomelania hupensis, the intermediate host of Schistosoma japonicum, in a mountainous region in China. International Journal for Parasitology. 38(8-9). 1007–1016. 39 indexed citations
20.
Zhou, Xiao‐Nong, Kun Yang, Leping Sun, et al.. (2004). [Prediction of the impact of climate warming on transmission of schistosomiasis in China].. PubMed. 22(5). 262–5. 12 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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