Dan-Dan Lin

2.1k total citations
88 papers, 1.3k citations indexed

About

Dan-Dan Lin is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Ecology. According to data from OpenAlex, Dan-Dan Lin has authored 88 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Parasitology, 44 papers in Public Health, Environmental and Occupational Health and 20 papers in Ecology. Recurrent topics in Dan-Dan Lin's work include Parasites and Host Interactions (68 papers), Zoonotic diseases and public health (38 papers) and Parasite Biology and Host Interactions (18 papers). Dan-Dan Lin is often cited by papers focused on Parasites and Host Interactions (68 papers), Zoonotic diseases and public health (38 papers) and Parasite Biology and Host Interactions (18 papers). Dan-Dan Lin collaborates with scholars based in China, United States and Australia. Dan-Dan Lin's co-authors include Xiao‐Nong Zhou, Hong‐Gen Chen, Fei Hu, Jing Xu, Yuemin Liu, Guan‐Ling Wu, William Agnew, Minjun Ji, Robert Bergquist and Shi‐Zhu Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Dan-Dan Lin

85 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan-Dan Lin China 21 982 565 397 395 199 88 1.3k
Dongchuan Qiu China 19 782 0.8× 520 0.9× 210 0.5× 217 0.5× 113 0.6× 36 1.2k
Curtis Kariuki United Kingdom 15 669 0.7× 446 0.8× 224 0.6× 208 0.5× 159 0.8× 18 806
Omar S Carvalho Brazil 24 1.1k 1.1× 1.1k 1.9× 171 0.4× 331 0.8× 581 2.9× 74 1.7k
José Roberto Machado-Silva Brazil 19 797 0.8× 611 1.1× 45 0.1× 108 0.3× 403 2.0× 86 1.1k
Mohamed A. Idris Oman 17 263 0.3× 235 0.4× 37 0.1× 139 0.4× 123 0.6× 45 646
David Rollinson United Kingdom 10 497 0.5× 473 0.8× 84 0.2× 77 0.2× 281 1.4× 16 641
Moriyasu Tsuji Japan 17 450 0.5× 248 0.4× 42 0.1× 134 0.3× 138 0.7× 58 695
Shiro Kasuya Japan 10 321 0.3× 196 0.3× 35 0.1× 63 0.2× 82 0.4× 28 555
M. Audícana Spain 23 698 0.7× 1.1k 2.0× 25 0.1× 161 0.4× 101 0.5× 52 2.2k
Jakob Skov Sweden 22 224 0.2× 303 0.5× 30 0.1× 31 0.1× 81 0.4× 60 1.3k

Countries citing papers authored by Dan-Dan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dan-Dan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan-Dan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Dan-Dan Lin. A scholar is included among the top collaborators of Dan-Dan 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 Dan-Dan Lin. Dan-Dan 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.
Gong, Yanfeng, Shiqing Zhang, Dan-Dan Lin, et al.. (2025). Decoding the impact of environmental shifts on snail density dynamics in the Yangtze River basin: a 26-year study. Parasites & Vectors. 18(1). 156–156.
2.
Bi, Huaxing, et al.. (2024). Vegetation restoration is affecting the characteristics and patterns of infiltration in the Loess Plateau. CATENA. 243. 108190–108190. 7 indexed citations
3.
Lin, Dan-Dan, Yujie Huang, Dandi Hou, et al.. (2024). Taxonomic dependency and spatial heterogeneity in assembly mechanisms of bacteria across complex coastal waters. Ecological Processes. 13(1). 6 indexed citations
4.
He, Tingting, et al.. (2023). Trend of Human Schistosomiasis Japonica Prevalence in China from 1990 to 2019. Tropical Medicine and Infectious Disease. 8(7). 344–344. 4 indexed citations
5.
He, Tingting, Fei Hu, Yifeng Li, et al.. (2023). The Impact of Flooding on Snail Spread: The Case of Endemic Schistosomiasis Areas in Jiangxi Province, China. Tropical Medicine and Infectious Disease. 8(5). 259–259. 4 indexed citations
6.
Hu, Fei, Xiaofeng Dai, Zhaojun Li, et al.. (2020). Impact of continuous low water stage on the breeding environment of Oncomelania hupensis: a case study of Poyang Lake area in China. Infectious Diseases of Poverty. 9(1). 103–103. 11 indexed citations
7.
Hu, Fei, Jun Ge, Chunfang Lu, et al.. (2020). Obtaining elevation of Oncomelania Hupensis habitat based on Google Earth and it’s accuracy evaluation: an example from the Poyang lake region, China. Scientific Reports. 10(1). 515–515. 3 indexed citations
8.
Li, Yifeng, et al.. (2017). [Role of new strategy in transmission control of schistosomiasis in Poyang Lake region].. PubMed. 29(6). 689–694. 2 indexed citations
9.
Sun, Leping, Bianli Xu, Bo Zhang, et al.. (2017). [Establishment of response system to emergency parasitic disease affairs in China].. PubMed. 29(4). 397–401. 1 indexed citations
11.
Hu, Fei, Zhaojun Li, Yifeng Li, et al.. (2016). [Study on cut-off value of IHA method for schistosomiasis diagnosis in different endemic areas].. PubMed. 28(6). 644–647. 2 indexed citations
12.
Liu, Xiaozhong, Zhe Chen, & Dan-Dan Lin. (2016). [Status and future development of surveillance of schistosomiasis in Jiangxi Province].. PubMed. 28(2). 111–114. 1 indexed citations
13.
14.
Lin, Dan-Dan, Fang Tian, Haiwei Wu, et al.. (2011). Multiple vaccinations with UV- attenuated cercariae in pig enhance protective immunity against Schistosoma japonicum infection as compared to single vaccination. Parasites & Vectors. 4(1). 103–103. 23 indexed citations
15.
Zhou, Xiao‐Nong, Jing Xu, Hong‐Gen Chen, et al.. (2011). Tools to Support Policy Decisions Related to Treatment Strategies and Surveillance of Schistosomiasis Japonica towards Elimination. PLoS neglected tropical diseases. 5(12). e1408–e1408. 52 indexed citations
16.
Liu, Yuemin, et al.. (2010). Evaluation on application of common diagnosis methods for schistosomiasis japonica in endemic areas of China. II. Quantitive analysis of detection results for S. japonicum infection by IHA screening method and Kato-Katz technique.. 22(2). 126–131. 3 indexed citations
17.
Li, Yifeng, et al.. (2010). The self-cure phenomenon in buffalo and pig infected with Schistosoma japonicum and its mechanism. 37(3). 184–188. 3 indexed citations
18.
Zhou, Xiao‐Nong, Tianping Wang, Dan-Dan Lin, & Xiaohua Wu. (2009). Current strategy and its effect on control of schistosomiasis transmission in China. 36(5). 266–273. 4 indexed citations
19.
Lin, Dan-Dan, et al.. (2003). Animal Host of Schistosoma japonicum and Transmission of Schistosomiasis in Poyang Lake Region. Journal of Tropical Medicine. 3(4). 383–387. 2 indexed citations
20.
Lin, Dan-Dan, et al.. (2002). The potential risk and control strategy in low endemic area of schistosomiasis in China. Acta Tropica. 82(2). 289–293. 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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