Li Liang

217 total papers · 6.7k total citations
138 papers, 4.9k citations indexed

About

Li Liang is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Li Liang has authored 138 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 27 papers in Epidemiology and 26 papers in Genetics. Recurrent topics in Li Liang's work include Acute Ischemic Stroke Management (16 papers), Birth, Development, and Health (11 papers) and DNA Repair Mechanisms (11 papers). Li Liang is often cited by papers focused on Acute Ischemic Stroke Management (16 papers), Birth, Development, and Health (11 papers) and DNA Repair Mechanisms (11 papers). Li Liang collaborates with scholars based in China, United States and Canada. Li Liang's co-authors include Gregg C. Fonarow, Eric D. Peterson, Adrian F. Hernandez, Jay A. Tischfield, Nancy M. Albert, Eric E. Smith, Lee H. Schwamm, Chunlin Wang, Yanlan Fang and Ying Xian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Li Liang

132 papers receiving 4.8k citations

Hit Papers

Pathogenesis of non-alcoh... 2018 2026 2020 2023 2018 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Li Liang 1.6k 1.4k 1.3k 490 489 138 4.9k
Xin Zhao 1.4k 0.9× 1.7k 1.2× 576 0.4× 204 0.4× 200 0.4× 134 4.4k
Berend Isermann 1.1k 0.7× 1.1k 0.8× 1.8k 1.4× 454 0.9× 627 1.3× 215 7.2k
Patrick R. Lawler 1.4k 0.9× 589 0.4× 914 0.7× 382 0.8× 577 1.2× 124 4.2k
Alexander P. Reiner 833 0.5× 884 0.6× 1.1k 0.9× 272 0.6× 702 1.4× 134 5.7k
Francesca Santilli 1.5k 0.9× 758 0.6× 796 0.6× 194 0.4× 1.1k 2.2× 131 4.6k
Lei Shen 1.7k 1.1× 1.6k 1.2× 1.1k 0.8× 278 0.6× 603 1.2× 117 6.4k
Raffaele Landolfi 1.4k 0.9× 1.1k 0.8× 2.1k 1.6× 220 0.4× 404 0.8× 207 7.5k
David C. Sane 2.4k 1.5× 430 0.3× 1.1k 0.8× 347 0.7× 450 0.9× 152 5.9k
Bjarne Østerud 661 0.4× 726 0.5× 1.0k 0.8× 365 0.7× 244 0.5× 199 6.8k
Alexander Niessner 2.2k 1.4× 687 0.5× 781 0.6× 243 0.5× 310 0.6× 170 4.9k

Countries citing papers authored by Li Liang

Since Specialization
Citations

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

Fields of papers citing papers by Li Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Liang

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