Wanli Lu

28 total papers · 1.1k total citations
21 papers, 861 citations indexed

About

Wanli Lu is a scholar working on Molecular Biology, Pharmacology and Biotechnology. According to data from OpenAlex, Wanli Lu has authored 21 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Pharmacology and 5 papers in Biotechnology. Recurrent topics in Wanli Lu's work include Microbial Natural Products and Biosynthesis (9 papers), RNA and protein synthesis mechanisms (4 papers) and Microbial Metabolism and Applications (4 papers). Wanli Lu is often cited by papers focused on Microbial Natural Products and Biosynthesis (9 papers), RNA and protein synthesis mechanisms (4 papers) and Microbial Metabolism and Applications (4 papers). Wanli Lu collaborates with scholars based in United States, China and Greece. Wanli Lu's co-authors include Taifo Mahmud, Xiaoping Miao, Wei‐Cheng You, Dongxin Lin, Kai‐Feng Pan, Lian Zhang, Niran Roongsawang, Kevin A. Reynolds, Papireddy Kancharla and Jane X. Kelly and has published in prestigious journals such as Journal of the American Chemical Society, Molecular Cell and PLoS ONE.

In The Last Decade

Wanli Lu

21 papers receiving 850 citations

Author Peers

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

Author						Papers	Cites
Wanli Lu	413	316	155	151	123	21	861
Carl P. Ciosek	545 1.3×	148 0.5×	132 0.9×	210 1.4×	40 0.3×	23	931
Takashi Suyama	300 0.7×	200 0.6×	83 0.5×	218 1.4×	201 1.6×	25	825
Shinji Kakudo	352 0.9×	116 0.4×	34 0.2×	134 0.9×	44 0.4×	20	881
W Galbraith	279 0.7×	272 0.9×	28 0.2×	255 1.7×	42 0.3×	24	836
Martin Hibbs	417 1.0×	111 0.4×	83 0.5×	245 1.6×	27 0.2×	25	1.0k
Mahmoud N. Mansour	406 1.0×	73 0.2×	322 2.1×	130 0.9×	37 0.3×	11	796
Diana Kazanov	373 0.9×	241 0.8×	51 0.3×	78 0.5×	28 0.2×	28	811
Naoki Matsumoto	365 0.9×	185 0.6×	38 0.2×	131 0.9×	67 0.5×	30	807
Ran Wang	529 1.3×	93 0.3×	41 0.3×	57 0.4×	83 0.7×	35	893
Joan Malmstrøm	206 0.5×	203 0.6×	245 1.6×	169 1.1×	138 1.1×	36	848

Countries citing papers authored by Wanli Lu

Since Specialization

Citations

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

Fields of papers citing papers by Wanli Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanli Lu

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