Li Na

182 total papers · 1.2k total citations
24 papers, 909 citations indexed

About

Li Na is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Li Na has authored 24 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Li Na's work include Reproductive Biology and Fertility (2 papers), Gut microbiota and health (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Li Na is often cited by papers focused on Reproductive Biology and Fertility (2 papers), Gut microbiota and health (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). Li Na collaborates with scholars based in China, United States and Panama. Li Na's co-authors include Weitao Huang, Paul L. Fidel, Paul Schwarzenberger, Shaoqi Yang, Yaqin He, Richard Ma, Dong Zhang, Xiaoliang Xie, Shikuo Rong and Ting Sun and has published in prestigious journals such as Scientific Reports, The Journal of Infectious Diseases and Life Sciences.

In The Last Decade

Li Na

23 papers receiving 886 citations

Hit Papers

Requirement of Interleuki... 2004 2026 2011 2018 2004 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Li Na 504 240 214 168 97 24 909
Marina Tuzova 405 0.8× 113 0.5× 178 0.8× 219 1.3× 147 1.5× 17 951
Hye‐Ran Cha 414 0.8× 97 0.4× 120 0.6× 196 1.2× 129 1.3× 28 818
Taylor Eddens 396 0.8× 263 1.1× 358 1.7× 221 1.3× 53 0.5× 41 983
P. T. A. Schellekens 490 1.0× 229 1.0× 152 0.7× 158 0.9× 64 0.7× 40 1.1k
Rajni Rani 300 0.6× 226 0.9× 233 1.1× 243 1.4× 71 0.7× 50 1.0k
Patricia R. Taylor 420 0.8× 145 0.6× 124 0.6× 227 1.4× 40 0.4× 21 883
D. Kaiserlian 416 0.8× 80 0.3× 110 0.5× 133 0.8× 80 0.8× 30 806
Chester Ni 438 0.9× 101 0.4× 151 0.7× 199 1.2× 54 0.6× 14 871
Waleed Elsegeiny 355 0.7× 298 1.2× 370 1.7× 200 1.2× 48 0.5× 20 883
Vu L. Ngo 382 0.8× 214 0.9× 139 0.6× 488 2.9× 36 0.4× 28 1.0k

Countries citing papers authored by Li Na

Since Specialization
Citations

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

Fields of papers citing papers by Li Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Na

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