Da‐Bing Lu

1.5k total citations
50 papers, 1.1k citations indexed

About

Da‐Bing Lu is a scholar working on Parasitology, Ecology and Small Animals. According to data from OpenAlex, Da‐Bing Lu has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Parasitology, 29 papers in Ecology and 18 papers in Small Animals. Recurrent topics in Da‐Bing Lu's work include Parasites and Host Interactions (37 papers), Parasite Biology and Host Interactions (28 papers) and Helminth infection and control (18 papers). Da‐Bing Lu is often cited by papers focused on Parasites and Host Interactions (37 papers), Parasite Biology and Host Interactions (28 papers) and Helminth infection and control (18 papers). Da‐Bing Lu collaborates with scholars based in China, United Kingdom and United States. Da‐Bing Lu's co-authors include Joanne P. Webster, Tianping Wang, James W. Rudge, Guo-Ren Fang, María‐Gloria Basáñez, Huan Ding, Poppy H. L. Lamberton, Yumeng Gao, Yao Deng and Christl A. Donnelly and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Molecular Biology.

In The Last Decade

Da‐Bing Lu

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Da‐Bing Lu China 18 638 449 240 233 149 50 1.1k
Deborah Aparecida Negrão‐Corrêa Brazil 23 869 1.4× 494 1.1× 234 1.0× 350 1.5× 101 0.7× 85 1.3k
Hiroshi Ohmae Japan 22 688 1.1× 467 1.0× 460 1.9× 164 0.7× 82 0.6× 62 1.1k
Soraya Gaze Brazil 17 640 1.0× 302 0.7× 223 0.9× 172 0.7× 162 1.1× 28 995
Sandra D. Melman United States 12 415 0.7× 248 0.6× 228 0.9× 132 0.6× 173 1.2× 15 840
Pedro Henrique Gazzinelli-Guimarães Brazil 19 629 1.0× 271 0.6× 153 0.6× 171 0.7× 121 0.8× 42 898
Paron Dekumyoy Thailand 25 866 1.4× 839 1.9× 210 0.9× 354 1.5× 143 1.0× 115 1.7k
Guan‐Ling Wu China 18 623 1.0× 379 0.8× 248 1.0× 145 0.6× 130 0.9× 44 878
A. Ruppel Germany 22 887 1.4× 621 1.4× 205 0.9× 370 1.6× 125 0.8× 53 1.3k
Wei Hu China 24 1.4k 2.1× 860 1.9× 435 1.8× 346 1.5× 310 2.1× 119 1.9k
Yuichi Chigusa Japan 19 708 1.1× 571 1.3× 261 1.1× 205 0.9× 74 0.5× 89 1.1k

Countries citing papers authored by Da‐Bing Lu

Since Specialization
Citations

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

Fields of papers citing papers by Da‐Bing Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Da‐Bing Lu. 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 Da‐Bing Lu. The network helps show where Da‐Bing Lu may publish in the future.

Co-authorship network of co-authors of Da‐Bing Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Da‐Bing Lu. A scholar is included among the top collaborators of Da‐Bing Lu 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 Da‐Bing Lu. Da‐Bing Lu 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.
2.
Yao, Yu, Yafeng Ma, Qiuxiang Ou, et al.. (2022). Characterizing kinase intergenic-breakpoint rearrangements in a large-scale lung cancer population and real-world clinical outcomes. ESMO Open. 7(2). 100405–100405. 3 indexed citations
3.
Zhang, Jieying, et al.. (2022). The prevalence of liver abnormalities in humans due to Schistosoma japonicum by ultrasonography in China: a meta-analysis. BMC Infectious Diseases. 22(1). 236–236. 1 indexed citations
4.
Lu, Da‐Bing, et al.. (2021). Extended survival and reproductive potential of single-sex male and female Schistosoma japonicum within definitive hosts. International Journal for Parasitology. 51(11). 887–891. 11 indexed citations
5.
Zou, Huiying, et al.. (2021). In vivo praziquantel efficacy of Schistosoma japonicum over time: A systematic review and meta-analysis. Acta Tropica. 222. 106048–106048. 12 indexed citations
6.
7.
Qiu, Chen, Da‐Bing Lu, Yao Deng, et al.. (2019). Population genetics of Oncomelania hupensis snails, intermediate hosts of Schistosoma japonium, from emerging, re-emerging or established habitats within China. Acta Tropica. 197. 105048–105048. 10 indexed citations
8.
Chen, Qiu, Huiying Zou, Yao Deng, Liang YouSheng, & Da‐Bing Lu. (2019). A meta-analysis of infection rates of Schistosoma japonicum in sentinel mice associated with infectious waters in mainland China over last 40 years. PLoS neglected tropical diseases. 13(6). e0007475–e0007475. 3 indexed citations
9.
Wang, Surong, et al.. (2015). Effect of photoperiod change on chronobiology of cercarial emergence of Schistosoma japonicum derived from hilly and marshy regions of China. Experimental Parasitology. 159. 227–232. 3 indexed citations
10.
Gao, Yumeng, et al.. (2015). Comparison of genetic diversity and population structure between two Schistosoma japonicum isolates—the field and the laboratory. Parasitology Research. 114(6). 2357–2362. 6 indexed citations
11.
Chen, Guo‐Chong, et al.. (2014). N-3 polyunsaturated fatty acids intake and risk of colorectal cancer: meta-analysis of prospective studies. Cancer Causes & Control. 26(1). 133–141. 28 indexed citations
12.
Wang, Chenzhong, et al.. (2014). Compatibility of Schistosoma japonicum from the hilly region and Oncomelania hupensis hupensis from the marshland region within Anhui, China. Parasitology Research. 113(12). 4477–4484. 11 indexed citations
13.
Rudge, James W., Joanne P. Webster, Da‐Bing Lu, et al.. (2013). Identifying host species driving transmission of schistosomiasis japonica, a multihost parasite system, in China. Proceedings of the National Academy of Sciences. 110(28). 11457–11462. 83 indexed citations
14.
Su, Jing, et al.. (2013). Control Efficacy of Annual Community-Wide Treatment against Schistosoma japonicum in China: A Meta-Analysis. PLoS ONE. 8(11). e78509–e78509. 5 indexed citations
15.
Lu, Da‐Bing, Tianping Wang, James W. Rudge, et al.. (2011). Genetic diversity of Schistosoma japonicum miracidia from individual rodent hosts. International Journal for Parasitology. 41(13-14). 1371–1376. 10 indexed citations
16.
Lu, Da‐Bing, James W. Rudge, Tianping Wang, et al.. (2010). Transmission of Schistosoma japonicum in Marshland and Hilly Regions of China: Parasite Population Genetic and Sibship Structure. PLoS neglected tropical diseases. 4(8). e781–e781. 45 indexed citations
17.
Lier, Tore, Gunnar Skov Simonsen, Tianping Wang, et al.. (2009). Low Sensitivity of the Formol-Ethyl Acetate Sedimentation Concentration Technique in Low-Intensity Schistosoma japonicum Infections. PLoS neglected tropical diseases. 3(2). e386–e386. 24 indexed citations
18.
Wu, Xiaohua, Tianping Wang, Da‐Bing Lu, et al.. (2002). Studies of impact on physical fitness and working capacity of patients with advanced Schistosomiasis japonica in Susong County, Anhui Province. Acta Tropica. 82(2). 247–252. 18 indexed citations
19.
Lu, Da‐Bing, et al.. (1994). Epidemiological studies on Echinochasmus liliputanus infection. I. Parasite infection and distribution in final hosts. 7(4). 285–287. 3 indexed citations
20.
Lu, Da‐Bing, et al.. (1989). Stimulation of IS1 excision by bacteriophage P1 ref function. Journal of Bacteriology. 171(6). 3427–3432. 15 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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