Peng Kong

61 total papers · 2.4k total citations
47 papers, 1.6k citations indexed

About

Peng Kong is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Peng Kong has authored 47 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 17 papers in Cancer Research and 11 papers in Immunology. Recurrent topics in Peng Kong's work include Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (9 papers) and MicroRNA in disease regulation (7 papers). Peng Kong is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), Circular RNAs in diseases (9 papers) and MicroRNA in disease regulation (7 papers). Peng Kong collaborates with scholars based in China, United States and Iran. Peng Kong's co-authors include Mei Han, Dandan Zhang, Ziyang Cui, Cui-Luan Yao, Zhiyong Wang, Mei Han, Peifeng Ji, Binghui Li, Yabin Liu and Shui Wang and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Chemical Communications.

In The Last Decade

Peng Kong

45 papers receiving 1.6k citations

Hit Papers

Inflammation and atherosc... 2022 2026 2023 2024 2022 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
Peng Kong 787 554 480 164 150 47 1.6k
Yongting Luo 1.1k 1.3× 353 0.6× 301 0.6× 281 1.7× 160 1.1× 62 2.0k
Ling Zhou 509 0.6× 273 0.5× 273 0.6× 104 0.6× 75 0.5× 56 1.3k
Xinfeng Yu 993 1.3× 305 0.6× 696 1.4× 338 2.1× 78 0.5× 43 1.7k
Hua‐Fu Zhou 945 1.2× 202 0.4× 357 0.7× 208 1.3× 114 0.8× 54 1.7k
Josep M. Aran 996 1.3× 467 0.8× 254 0.5× 291 1.8× 200 1.3× 68 2.2k
Feng Zhu 938 1.2× 240 0.4× 418 0.9× 220 1.3× 202 1.3× 62 1.6k
Siamak Sandoghchian Shotorbani 658 0.8× 389 0.7× 256 0.5× 258 1.6× 63 0.4× 58 1.5k
Tingting Wang 569 0.7× 394 0.7× 295 0.6× 339 2.1× 100 0.7× 52 1.3k
Chunmei Guo 1.2k 1.6× 243 0.4× 462 1.0× 187 1.1× 106 0.7× 69 2.1k
Faisal Aziz 781 1.0× 321 0.6× 272 0.6× 121 0.7× 256 1.7× 42 1.5k

Countries citing papers authored by Peng Kong

Since Specialization
Citations

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

Fields of papers citing papers by Peng Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Kong

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