Li Geng

122 total papers · 1.4k total citations
78 papers, 1.0k citations indexed

About

Li Geng is a scholar working on Epidemiology, Complementary and alternative medicine and Surgery. According to data from OpenAlex, Li Geng has authored 78 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Epidemiology, 11 papers in Complementary and alternative medicine and 9 papers in Surgery. Recurrent topics in Li Geng's work include Cervical Cancer and HPV Research (12 papers), Reproductive tract infections research (7 papers) and Complementary and Alternative Medicine Studies (6 papers). Li Geng is often cited by papers focused on Cervical Cancer and HPV Research (12 papers), Reproductive tract infections research (7 papers) and Complementary and Alternative Medicine Studies (6 papers). Li Geng collaborates with scholars based in China, United States and United Kingdom. Li Geng's co-authors include Jian‐Mei Li, Lampson Fan, Jie Qiao, Qinping Liao, Xuehong Song, Nicola Giordan, Junya Chen, Hongxia Li, Gavin Brooks and Fangfei Liu and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Li Geng

70 papers receiving 969 citations

Author Peers

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

Author Last Decade Papers Cites
Li Geng 212 190 166 123 117 78 1.0k
Julie Lefebvre 149 0.7× 215 1.1× 169 1.0× 59 0.5× 148 1.3× 58 1.1k
Seyed Mohammad Akrami 132 0.6× 337 1.8× 70 0.4× 42 0.3× 99 0.8× 69 883
Yanxia Chen 203 1.0× 292 1.5× 66 0.4× 98 0.8× 94 0.8× 78 1.1k
Jianling Li 125 0.6× 277 1.5× 92 0.6× 222 1.8× 59 0.5× 63 936
T. O. Kleine 88 0.4× 344 1.8× 47 0.3× 77 0.6× 74 0.6× 79 852
Yi Chen 145 0.7× 327 1.7× 182 1.1× 153 1.2× 71 0.6× 50 1.2k
Johan Sällström 148 0.7× 431 2.3× 136 0.8× 64 0.5× 203 1.7× 52 1.2k
Lars Ødum 103 0.5× 273 1.4× 69 0.4× 48 0.4× 213 1.8× 58 1.0k
Jasmine Lee 90 0.4× 150 0.8× 189 1.1× 88 0.7× 168 1.4× 45 1.0k
Eun Young Cho 267 1.3× 182 1.0× 90 0.5× 77 0.6× 213 1.8× 126 1.1k

Countries citing papers authored by Li Geng

Since Specialization
Citations

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

Fields of papers citing papers by Li Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Geng

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