Lingling Wu

35 total papers · 1.1k total citations
31 papers, 835 citations indexed

About

Lingling Wu is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Lingling Wu has authored 31 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Lingling Wu's work include Nanoplatforms for cancer theranostics (9 papers), Viral-associated cancers and disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). Lingling Wu is often cited by papers focused on Nanoplatforms for cancer theranostics (9 papers), Viral-associated cancers and disorders (2 papers) and Cancer-related molecular mechanisms research (2 papers). Lingling Wu collaborates with scholars based in China, United States and Hong Kong. Lingling Wu's co-authors include Daniel DiMaio, Edward C. Goodwin, Rosa Anna DeFilippis, Jun‐Ying Miao, Bao‐Xiang Zhao, Liang‐Wen Zheng, Wen‐Liang Dong, Hai‐Yu Hu, Qinghua Wang and Kaiqiang Li and has published in prestigious journals such as Journal of the American Chemical Society, Molecular and Cellular Biology and Journal of Virology.

In The Last Decade

Lingling Wu

29 papers receiving 821 citations

Author Peers

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

Author						Papers	Cites
Lingling Wu	332	199	175	148	129	31	835
Henk E. Moorlag	423 1.3×	54 0.3×	206 1.2×	144 1.0×	87 0.7×	24	911
Narges K. Tafreshi	362 1.1×	92 0.5×	102 0.6×	206 1.4×	117 0.9×	26	831
Norbert Schaschke	490 1.5×	97 0.5×	147 0.8×	227 1.5×	55 0.4×	39	1.0k
Baisong Zheng	499 1.5×	127 0.6×	86 0.5×	69 0.5×	135 1.0×	48	953
Earl G. Adams	361 1.1×	99 0.5×	53 0.3×	256 1.7×	63 0.5×	26	817
Mary E. Neville	301 0.9×	127 0.6×	64 0.4×	84 0.6×	57 0.4×	20	793
Sarah Duellman	363 1.1×	65 0.3×	45 0.3×	125 0.8×	90 0.7×	19	743
János Pató	476 1.4×	105 0.5×	178 1.0×	101 0.7×	36 0.3×	46	906
Janis de la Iglesia-Vicente	593 1.8×	102 0.5×	181 1.0×	214 1.4×	24 0.2×	19	1.0k
Christos Zikos	375 1.1×	108 0.5×	73 0.4×	195 1.3×	52 0.4×	48	919

Countries citing papers authored by Lingling Wu

Since Specialization

Citations

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

Fields of papers citing papers by Lingling Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lingling Wu

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