Bin Meng

444 citations
18 papers · 224 · h-index 8

Impact in

    • Cancer-related molecular mechanisms research
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Histone Deacetylase Inhibitors Research
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

    • RNA modifications and cancer 4
    • Histone Deacetylase Inhibitors Research 3
    • Advanced biosensing and bioanalysis techniques 2
    • Epigenetics and DNA Methylation 2
    • RNA Research and Splicing 2
    • CAR-T cell therapy research 2

Bin Meng

14 papers receiving 223 citations

Peers

Bin Meng
Comparison fields: 5 of 69
  • Cancer Research 58
  • Molecular Biology 174
  • Pathology and Forensic Medicine 31
  • Hematology 16
  • Oncology 38
Replace Liming Lin with:
Liming Lin China
Emma Johnson United Kingdom
Li-Ya Chiu Germany
Yuanming He China
Jiangjiang Li China
Hiba Ahmad Zahreddine Canada
Marjan Mojtabavi Naeini Iran
Naiquan Mao China
Petr Karlov Russia
Bonnie LaCroix United States
Bin Meng relative to Liming Lin China Liming Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bin Meng

Since Specialization
Citations

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

Fields of papers citing papers by Bin Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bin Meng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bin Meng Line = papers co-authored together Bin Meng links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 201740
2 201732
3 201629
4 201724
5 201821
6 201918
7 202216
8 201916
9 20227
10 20226
11 20065
12 20194
13 20234
14 20252
15 20250
16 20190
17 20250
18 20240

About Bin Meng

Bin Meng is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Cancer Research, having authored 18 papers that have together received 224 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Histone Deacetylase Inhibitors Research (3 papers), T-cell and Retrovirus Studies (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Epigenetics and DNA Methylation (2 papers), CAR-T cell therapy research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (58 citations), Molecular Biology (174 citations), Pathology and Forensic Medicine (31 citations), Hematology (16 citations) and Oncology (38 citations). Bin Meng has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xianhuo Wang, Huilai Zhang, Kai Fu, Huaqing Wang, Changxu Liu, Lu Cao, Yuhong Guo, Lingmei Li, Lisha Qi and Wangzhao Song. Their work appears in journals such as Frontiers in Immunology, Blood, Cancer Biology and Medicine, Leukemia Research and Kidney & Blood Pressure Research.

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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