Lijing Li

63 total papers · 1.1k total citations
36 papers, 806 citations indexed

About

Lijing Li is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Lijing Li has authored 36 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Surgery and 5 papers in Oncology. Recurrent topics in Lijing Li's work include Cytomegalovirus and herpesvirus research (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Anesthesia and Pain Management (3 papers). Lijing Li is often cited by papers focused on Cytomegalovirus and herpesvirus research (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Anesthesia and Pain Management (3 papers). Lijing Li collaborates with scholars based in China, United States and United Kingdom. Lijing Li's co-authors include David DiGiusto, John A. Zaia, Anitha Rao, Stephen J. Forman, Joseph Alvarnas, Priscilla Yam, Amrita Krishnan, Larry A. Couture, Michael Kalos and Shu Mi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Molecular and Cellular Biology.

In The Last Decade

Lijing Li

33 papers receiving 789 citations

Author Peers

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

Author Last Decade Papers Cites
Lijing Li 551 279 216 118 84 36 806
Javier Torres‐Torronteras 622 1.1× 117 0.4× 191 0.9× 74 0.6× 153 1.8× 36 1.0k
G. Steinheider 309 0.6× 157 0.6× 76 0.4× 88 0.7× 115 1.4× 36 721
S Farber 384 0.7× 207 0.7× 46 0.2× 94 0.8× 64 0.8× 31 862
Di Sun 533 1.0× 162 0.6× 271 1.3× 35 0.3× 93 1.1× 25 966
Jeffrey M. Chinsky 514 0.9× 207 0.7× 42 0.2× 66 0.6× 79 0.9× 38 907
Graham Casey 339 0.6× 170 0.6× 79 0.4× 184 1.6× 72 0.9× 45 752
Laura Janocko 305 0.6× 254 0.9× 122 0.6× 131 1.1× 49 0.6× 25 872
N Mulliez 407 0.7× 138 0.5× 92 0.4× 37 0.3× 96 1.1× 35 941
Sara Pagans 665 1.2× 43 0.2× 249 1.2× 60 0.5× 87 1.0× 25 961
В. А. Шатров 373 0.7× 71 0.3× 233 1.1× 73 0.6× 217 2.6× 16 769

Countries citing papers authored by Lijing Li

Since Specialization
Citations

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

Fields of papers citing papers by Lijing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijing Li

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