Shengli Meng

60 total papers · 479 total citations
39 papers, 324 citations indexed

About

Shengli Meng is a scholar working on Cardiology and Cardiovascular Medicine, Virology and Infectious Diseases. According to data from OpenAlex, Shengli Meng has authored 39 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 16 papers in Virology and 14 papers in Infectious Diseases. Recurrent topics in Shengli Meng's work include Rabies epidemiology and control (16 papers), Viral Infections and Immunology Research (16 papers) and Poxvirus research and outbreaks (9 papers). Shengli Meng is often cited by papers focused on Rabies epidemiology and control (16 papers), Viral Infections and Immunology Research (16 papers) and Poxvirus research and outbreaks (9 papers). Shengli Meng collaborates with scholars based in China, United States and Canada. Shengli Meng's co-authors include Zejun Wang, Shuo Shen, Jiaxin Yan, Gelin Xu, Jie Wu, Xiaoming Yang, Yan Sun, Yuqi Huo, Xin Wan and Jie Wu and has published in prestigious journals such as PLoS ONE, Journal of Virology and Virology.

In The Last Decade

Shengli Meng

36 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Shengli Meng	167	124	93	84	82	39	324
O. J. B. Hübschle	123 0.7×	114 0.9×	82 0.9×	22 0.3×	66 0.8×	19	297
Ladawan Sariya	66 0.4×	121 1.0×	55 0.6×	27 0.3×	109 1.3×	31	324
Dev Chandran	92 0.6×	89 0.7×	25 0.3×	33 0.4×	118 1.4×	24	318
Sylvie Morgeaux	147 0.9×	86 0.7×	65 0.7×	12 0.1×	100 1.2×	20	316
Gideon Brückner	197 1.2×	106 0.9×	65 0.7×	55 0.7×	118 1.4×	17	360
Songsri Kasempimolporn	143 0.9×	97 0.8×	65 0.7×	18 0.2×	116 1.4×	25	274
Karin Duchow	112 0.7×	101 0.8×	84 0.9×	8 0.1×	86 1.0×	18	313
Shyam Singh Dahiya	93 0.6×	68 0.5×	13 0.1×	51 0.6×	66 0.8×	42	273
Fatima Serhan	83 0.5×	168 1.4×	36 0.4×	73 0.9×	79 1.0×	23	310
Adrian Jenkins	198 1.2×	156 1.3×	15 0.2×	21 0.3×	127 1.5×	26	325

Countries citing papers authored by Shengli Meng

Since Specialization

Citations

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

Fields of papers citing papers by Shengli Meng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengli Meng

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

All Works

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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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