Bin Meng

465 citations
19 papers · 230 · 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

    • Histone Deacetylase Inhibitors Research 3
    • RNA Interference and Gene Delivery 2
    • Cancer-related gene regulation 2
    • RNA Research and Splicing 2
    • Epigenetics and DNA Methylation 2
    • CAR-T cell therapy research 2

Bin Meng

14 papers receiving 228 citations

Peers

Bin Meng
Comparison fields: 5 of 68
  • Cancer Research 47
  • Molecular Biology 159
  • Pathology and Forensic Medicine 22
  • Hematology 14
  • Oncology 26
Replace Liming Lin with:
Liming Lin China
Xin-Yi Loh Singapore
Carolina Marasco Italy
Shuyuan Xian China
Jorge Vaz Pinto Neto Brazil
Kui Cao China
Kazumasa Sekihara Japan
Michelle Hussong Germany
Deniz Demircioğlu United States
Bin Meng relative to Liming Lin China Liming Lin's profile →
Citations per field
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Liming Lin · 1×
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

19 of 19 papers shown
#Work
1 201740
2 201732
3 201629
4 201724
5 201822
6 201918
7 202217
8 201916
9 20227
10 20226
11 20255
12 20065
13 20235
14 20194
15 20190
16 20250
17 20250
18 20240
19 20250

About Bin Meng

Bin Meng is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Immunology and Cancer Research, having authored 19 papers that have together received 230 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (4 papers), T-cell and Retrovirus Studies (3 papers), Histone Deacetylase Inhibitors Research (3 papers), RNA Interference and Gene Delivery (2 papers), Cancer-related gene regulation (2 papers), CAR-T cell therapy research (2 papers), RNA Research and Splicing (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (47 citations), Molecular Biology (159 citations), Pathology and Forensic Medicine (22 citations), Hematology (14 citations) and Oncology (26 citations). Bin Meng has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xianhuo Wang, Huilai Zhang, Kai Fu, Changxu Liu, Lisha Qi, Yuhong Guo, Wenfeng Cao, Wangzhao Song, Lingmei Li and Lu Cao. Their work appears in journals such as Blood, Frontiers in Immunology, Cancer Letters, American Journal Of Pathology and Advanced Functional Materials.

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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