Jingwei Lv

94 total papers · 915 total citations
51 papers, 538 citations indexed

About

Jingwei Lv is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Jingwei Lv has authored 51 papers receiving a total of 538 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Epidemiology and 7 papers in Oncology. Recurrent topics in Jingwei Lv's work include Ginseng Biological Effects and Applications (7 papers), Saffron Plant Research Studies (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jingwei Lv is often cited by papers focused on Ginseng Biological Effects and Applications (7 papers), Saffron Plant Research Studies (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Jingwei Lv collaborates with scholars based in China, Macao and Pakistan. Jingwei Lv's co-authors include Xinmin Liu, Ning Jiang, Haixia Wang, Kunqian Ji, Chuanzhu Yan, Cong Lü, Liming Dong, Hong Huang, Yuying Zhao and Jiaming Sun and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Biology and Annals of Neurology.

In The Last Decade

Jingwei Lv

43 papers receiving 531 citations

Author Peers

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

Author						Papers	Cites
Jingwei Lv	230	67	61	59	58	51	538
Ming Bai	272 1.2×	70 1.0×	82 1.3×	59 1.0×	70 1.2×	62	607
Dan Cheng	174 0.8×	77 1.1×	39 0.6×	66 1.1×	72 1.2×	27	488
Xiaoli Hou	220 1.0×	63 0.9×	37 0.6×	37 0.6×	42 0.7×	31	511
Dai Yuan	250 1.1×	79 1.2×	32 0.5×	37 0.6×	60 1.0×	50	536
Ling Xin	215 0.9×	49 0.7×	59 1.0×	37 0.6×	38 0.7×	59	558
Nazgol‐Sadat Haddadi	164 0.7×	71 1.1×	28 0.5×	49 0.8×	47 0.8×	33	580
Hasan Yousefi‐Manesh	128 0.6×	71 1.1×	56 0.9×	52 0.9×	63 1.1×	29	457
Yang Zhang	141 0.6×	42 0.6×	61 1.0×	35 0.6×	44 0.8×	36	547
Zhen Tan	185 0.8×	38 0.6×	68 1.1×	131 2.2×	50 0.9×	38	588
Junyan Zhang	245 1.1×	51 0.8×	34 0.6×	50 0.8×	37 0.6×	26	529

Countries citing papers authored by Jingwei Lv

Since Specialization

Citations

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

Fields of papers citing papers by Jingwei Lv

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingwei Lv

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