Erhong Meng

784 total citations
24 papers, 571 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 571 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, Jennifer Scalici, Aparna Mitra, Luciana Madeira da Silva and Kaushlendra Tripathi 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 563 citations

Peers

Erhong Meng
Comparison fields: 5 of 73
  • Molecular Biology 296
  • Oncology 236
  • Cancer Research 112
  • Immunology 61
  • Reproductive Medicine 61
Replace Soon Ha Kim with:
Soon Ha Kim South Korea
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Paul T. Jubinsky United States
Denise L. Cecil United States
Thomas F. Gallegos United States
Tara L. Sander United States
Lenka Kubiczková Czechia
K. Seino Japan
Yonggang Lv China
Shuo You China
Soon Ha Kim South Korea View profile →
Citations per field, relative to Erhong Meng
Erhong Meng · 1×
Citations per year, relative to Erhong Meng
Erhong Meng · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 1
3 2
4 2
5 3
6 3
7 4
8 2
9 6
10 22
11 28
12 32
13 127
14 11
15 148
16 0
17 28
18 1
19 77
20
[Clinical and pathological characteristics and pathogenesis of autoimmune hepatitis].
1

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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