Mengchun Gong

95 total papers · 1.5k total citations
34 papers, 503 citations indexed

About

Mengchun Gong is a scholar working on Infectious Diseases, Artificial Intelligence and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mengchun Gong has authored 34 papers receiving a total of 503 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Artificial Intelligence and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mengchun Gong's work include COVID-19 Clinical Research Studies (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Mengchun Gong is often cited by papers focused on COVID-19 Clinical Research Studies (6 papers), Chronic Kidney Disease and Diabetes (4 papers) and Artificial Intelligence in Healthcare and Education (4 papers). Mengchun Gong collaborates with scholars based in China, United States and United Arab Emirates. Mengchun Gong's co-authors include Hong Zhu, Shuang Wang, Na Hong, Xin Sun, Chun Liu, Longxiang Su, Xuemei Li, Yuanqiang Zhang, Wenfeng Zhang and Hongbo Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of neurosurgery.

In The Last Decade

Mengchun Gong

33 papers receiving 496 citations

Author Peers

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

Author Last Decade Papers Cites
Mengchun Gong 103 88 71 64 53 34 503
Sayon Dutta 120 1.2× 63 0.7× 135 1.9× 109 1.7× 73 1.4× 42 539
Chenxi Huang 64 0.6× 47 0.5× 97 1.4× 89 1.4× 76 1.4× 38 584
Parsa Mirhaji 41 0.4× 122 1.4× 114 1.6× 103 1.6× 19 0.4× 43 596
Suehyun Lee 50 0.5× 18 0.2× 57 0.8× 38 0.6× 37 0.7× 47 583
Corrado Lanera 57 0.6× 21 0.2× 51 0.7× 64 1.0× 42 0.8× 55 524
Francesco Sanmarchi 33 0.3× 51 0.6× 29 0.4× 50 0.8× 48 0.9× 48 491
Aikaterini Sakagianni 58 0.6× 39 0.4× 115 1.6× 74 1.2× 44 0.8× 35 579
Laura Stevens 35 0.3× 110 1.3× 70 1.0× 63 1.0× 48 0.9× 18 482
Timothy J. Judson 55 0.5× 46 0.5× 57 0.8× 54 0.8× 26 0.5× 29 599
Emily Pellegrini 163 1.6× 72 0.8× 238 3.4× 205 3.2× 88 1.7× 25 602

Countries citing papers authored by Mengchun Gong

Since Specialization
Citations

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

Fields of papers citing papers by Mengchun Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengchun Gong

This figure shows the co-authorship network connecting the top 25 collaborators of Mengchun Gong. A scholar is included among the top collaborators of Mengchun 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 Mengchun Gong. Mengchun 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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2026