Li Gong

56 total papers · 599 total citations
23 papers, 264 citations indexed

About

Li Gong is a scholar working on Molecular Biology, Cancer Research and Cellular and Molecular Neuroscience. According to data from OpenAlex, Li Gong has authored 23 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Li Gong's work include Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Li Gong is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Epigenetics and DNA Methylation (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). Li Gong collaborates with scholars based in China, United States and United Kingdom. Li Gong's co-authors include Chunhua Han, Qi‐En Wang, Ran Zhao, Michael F. Tweedle, Haiming Ding, Gulzar Wani, Altaf A. Wani, Aruna Battu, Qianzheng Zhu and Nidhi Sharma and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Li Gong

22 papers receiving 260 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 Gong 161 64 49 30 29 23 264
Linus Lee 204 1.3× 80 1.3× 59 1.2× 21 0.7× 42 1.4× 29 313
Julie Lafontaine 134 0.8× 68 1.1× 38 0.8× 30 1.0× 29 1.0× 14 275
Ryan Robb 142 0.9× 103 1.6× 62 1.3× 42 1.4× 40 1.4× 18 273
Jiang Xu 199 1.2× 77 1.2× 99 2.0× 18 0.6× 28 1.0× 20 300
Yusha Sun 65 0.4× 65 1.0× 37 0.8× 32 1.1× 33 1.1× 26 231
Kshitij Parag‐Sharma 223 1.4× 40 0.6× 38 0.8× 20 0.7× 24 0.8× 23 325
Akihiko Serizawa 145 0.9× 105 1.6× 50 1.0× 32 1.1× 46 1.6× 24 321
Satyajit Ray 184 1.1× 47 0.7× 44 0.9× 25 0.8× 39 1.3× 15 284
Muh‐Hwa Yang 93 0.6× 109 1.7× 37 0.8× 27 0.9× 38 1.3× 25 301
Alice Boissard 169 1.0× 82 1.3× 71 1.4× 38 1.3× 41 1.4× 21 295

Countries citing papers authored by Li Gong

Since Specialization
Citations

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

Fields of papers citing papers by Li Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Gong

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