Guanyi Kong

18 total papers · 1.8k total citations
9 papers, 744 citations indexed

About

Guanyi Kong is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Guanyi Kong has authored 9 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Guanyi Kong's work include Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (3 papers). Guanyi Kong is often cited by papers focused on Extracellular vesicles in disease (4 papers), MicroRNA in disease regulation (4 papers) and Circular RNAs in diseases (3 papers). Guanyi Kong collaborates with scholars based in China, United States and Canada. Guanyi Kong's co-authors include Nansheng Chen, Jeffrey Chu, Libo Zhao, Li Min, Rui Wei, Xiang Liu, Shutian Zhang, Shengtao Zhu, Lei Chen and Jiarui Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and BMC Genomics.

In The Last Decade

Guanyi Kong

9 papers receiving 741 citations

Author Peers

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

Author Last Decade Papers Cites
Guanyi Kong 471 347 252 150 69 9 744
Emmanuelle Gormally 337 0.7× 328 0.9× 80 0.3× 177 1.2× 95 1.4× 15 708
Yafang Lin 369 0.8× 126 0.4× 116 0.5× 127 0.8× 46 0.7× 12 746
Patrick T. Hennessey 473 1.0× 226 0.7× 96 0.4× 118 0.8× 93 1.3× 15 774
Amy E. Hanlon Newell 487 1.0× 189 0.5× 144 0.6× 134 0.9× 27 0.4× 17 855
Uwe Galli 622 1.3× 372 1.1× 67 0.3× 122 0.8× 39 0.6× 11 809
J C Kandala 476 1.0× 136 0.4× 151 0.6× 127 0.8× 14 0.2× 16 885
Ram N. Trivedi 487 1.0× 131 0.4× 167 0.7× 292 1.9× 44 0.6× 19 797
Olivier Brégerie 474 1.0× 90 0.3× 153 0.6× 103 0.7× 35 0.5× 8 846
Yingjun Xie 422 0.9× 365 1.1× 43 0.2× 121 0.8× 76 1.1× 19 622
Noah C. Welker 544 1.2× 568 1.6× 40 0.2× 174 1.2× 156 2.3× 10 859

Countries citing papers authored by Guanyi Kong

Since Specialization
Citations

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

Fields of papers citing papers by Guanyi Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanyi Kong

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