Li Kong

67 total papers · 2.8k total citations
51 papers, 1.5k citations indexed

About

Li Kong is a scholar working on Molecular Biology, Cognitive Neuroscience and Biomaterials. According to data from OpenAlex, Li Kong has authored 51 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cognitive Neuroscience and 9 papers in Biomaterials. Recurrent topics in Li Kong's work include Functional Brain Connectivity Studies (8 papers), Supramolecular Self-Assembly in Materials (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Li Kong is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Supramolecular Self-Assembly in Materials (8 papers) and Advanced Neuroimaging Techniques and Applications (6 papers). Li Kong collaborates with scholars based in China, United States and Germany. Li Kong's co-authors include Daniel J. Sexton, Vance G. Fowler, G. Ralph Corey, Geoffrey S. Gottlieb, Kieren A. Marr, Ajay K. Gopal, Linda Sanders, Liu C, Carolyn L. Donovan and Thomas Ryan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Li Kong

45 papers receiving 1.5k 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 Kong 562 549 305 285 236 51 1.5k
Pierre Berger 466 0.8× 590 1.1× 184 0.6× 135 0.5× 275 1.2× 51 1.7k
Cédric Jacqueline 702 1.2× 486 0.9× 292 1.0× 113 0.4× 445 1.9× 74 2.0k
Flavio De Maio 818 1.5× 607 1.1× 181 0.6× 126 0.4× 393 1.7× 92 1.8k
Kerrilyn R. Diener 213 0.4× 280 0.5× 91 0.3× 354 1.2× 393 1.7× 65 2.2k
Oral Öncül 248 0.4× 484 0.9× 47 0.2× 149 0.5× 221 0.9× 97 1.8k
Andrea Ardizzoni 354 0.6× 339 0.6× 48 0.2× 100 0.4× 982 4.2× 50 2.0k
J. Verhoef 258 0.5× 248 0.5× 67 0.2× 62 0.2× 512 2.2× 43 1.5k
Jan Walter 575 1.0× 504 0.9× 61 0.2× 83 0.3× 303 1.3× 47 1.5k
Stephanie E Wallace 820 1.5× 613 1.1× 286 0.9× 135 0.5× 395 1.7× 37 1.8k
Thomas C. Cesario 318 0.6× 401 0.7× 78 0.3× 67 0.2× 247 1.0× 101 1.8k

Countries citing papers authored by Li Kong

Since Specialization
Citations

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

Fields of papers citing papers by Li Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Kong

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