Erhong Meng

60 total papers · 768 total citations
24 papers, 570 citations indexed

About

Erhong Meng is a scholar working on Oncology, Molecular Biology and Epidemiology. According to data from OpenAlex, Erhong Meng has authored 24 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 8 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Erhong Meng's work include Epigenetics and DNA Methylation (5 papers), Hedgehog Signaling Pathway Studies (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Erhong Meng is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Hedgehog Signaling Pathway Studies (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Erhong Meng collaborates with scholars based in China and United States. Erhong Meng's co-authors include Lalita A. Shevde, Rodney P. Rocconi, Eddie Reed, Steve McClellan, Michael A. Finan, Paula A. Sullivan, Hua Wang, Jennifer Scalici, Aparna Mitra and Komaraiah Palle and has published in prestigious journals such as PLoS ONE, Cancer Research and The American Journal of Cardiology.

In The Last Decade

Erhong Meng

23 papers receiving 561 citations

Author Peers

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

Author Last Decade Papers Cites
Erhong Meng 295 234 111 61 61 24 570
Ignacio Garcia‐Ribas 207 0.7× 438 1.9× 103 0.9× 56 0.9× 19 0.3× 33 651
Xiaoyan Qiu 395 1.3× 126 0.5× 85 0.8× 108 1.8× 8 0.1× 26 614
A. Mazo 247 0.8× 240 1.0× 86 0.8× 37 0.6× 15 0.2× 19 573
Daniel R. Zweitzig 360 1.2× 282 1.2× 194 1.7× 50 0.8× 25 0.4× 15 635
Tze‐Sian Chan 375 1.3× 276 1.2× 170 1.5× 83 1.4× 7 0.1× 22 625
Charlotte Hill 267 0.9× 97 0.4× 101 0.9× 86 1.4× 36 0.6× 24 606
Kyeong‐Man Hong 326 1.1× 83 0.4× 130 1.2× 44 0.7× 8 0.1× 33 603
Oliver J. Stoetzer 255 0.9× 205 0.9× 112 1.0× 97 1.6× 7 0.1× 29 623
Tatianna Larman 253 0.9× 268 1.1× 115 1.0× 47 0.8× 5 0.1× 24 600
Denise L. Cecil 279 0.9× 200 0.9× 78 0.7× 239 3.9× 12 0.2× 29 619

Countries citing papers authored by Erhong Meng

Since Specialization
Citations

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

Fields of papers citing papers by Erhong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erhong Meng

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