Meng Lu

24 total papers · 939 total citations
15 papers, 229 citations indexed

About

Meng Lu is a scholar working on Molecular Biology, Infectious Diseases and Animal Science and Zoology. According to data from OpenAlex, Meng Lu has authored 15 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Animal Science and Zoology. Recurrent topics in Meng Lu's work include Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Influenza Virus Research Studies (3 papers). Meng Lu is often cited by papers focused on Animal Virus Infections Studies (5 papers), Viral gastroenteritis research and epidemiology (4 papers) and Influenza Virus Research Studies (3 papers). Meng Lu collaborates with scholars based in China, United States and Belgium. Meng Lu's co-authors include Wanting He, Shuo Su, Jin Zhao, Changchun Tu, Philippe Lemey, Marc A. Suchard, Alexander Lai, Alfred E. Szmidt, Gairu Li and Jun Chen and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Meng Lu

14 papers receiving 220 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Meng Lu	123	97	55	53	49	15	229
Danijela Rihtarič	241 2.0×	118 1.2×	47 0.9×	36 0.7×	36 0.7×	14	309
Qiuyan Lin	84 0.7×	97 1.0×	29 0.5×	49 0.9×	109 2.2×	22	230
David G. Westcott	184 1.5×	164 1.7×	102 1.9×	59 1.1×	22 0.4×	10	300
Kate Van Brussel	146 1.2×	102 1.1×	74 1.3×	13 0.2×	58 1.2×	19	221
Chien Chang Loa	215 1.7×	153 1.6×	29 0.5×	34 0.6×	28 0.6×	19	310
Guangzhi Tong	89 0.7×	77 0.8×	42 0.8×	19 0.4×	51 1.0×	20	206
Qi Wang	66 0.5×	78 0.8×	37 0.7×	98 1.8×	140 2.9×	22	324
Michaela Handermann	153 1.2×	30 0.3×	33 0.6×	33 0.6×	41 0.8×	16	233
Qianyue Jin	149 1.2×	167 1.7×	131 2.4×	79 1.5×	50 1.0×	23	303
Ray Izquierdo-Lara	193 1.6×	54 0.6×	27 0.5×	59 1.1×	67 1.4×	17	267

Countries citing papers authored by Meng Lu

Since Specialization

Citations

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

Fields of papers citing papers by Meng Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Lu. A scholar is included among the top collaborators of Meng 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 Meng Lu. Meng Lu 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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