Bin Yan

6.6k citations
179 papers · 4.9k indexed · 1 hit paper · h-index 38
    • Cancer-related molecular mechanisms research 13
    • NF-κB Signaling Pathways 8
    • MicroRNA in disease regulation 8
    • RNA modifications and cancer 13
    • RNA Interference and Gene Delivery 10
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research 10
    • Cancer-related Molecular Pathways 9
    • Cancer Cells and Metastasis 9
  • Immunology top 5%

Bin Yan

158 papers receiving 4.9k citations

Hit Papers

A G3BP1-Interacting lncRNA Promotes Ferroptosis and Apopt...4022018202620202023100200300400

Peers

Bin Yan
Comparison fields: 5 of 133
  • Cancer Research 1.5k
  • Molecular Biology 2.8k
  • Oncology 899
  • Immunology 692
  • Geriatrics and Gerontology 119
Replace Alexander T.H. Wu with:
Alexander T.H. Wu Taiwan
Paolo E. Porporato Italy
Chunhong Yan United States
Li Li China
Ulrich Pfeffer Italy
Dean Tian China
Matilde E. Lleonart Spain
Melchiorre Cervello Italy
Tong Liu China
Pankaj K. Singh United States
Bin Yan relative to Alexander T.H. Wu Taiwan Alexander T.H. Wu's profile →
Citations per field
00.5×1.5×2.1×
Alexander T.H. Wu · 1×
Citations per year

Countries citing papers authored by Bin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Bin Yan, 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 Yan Line = papers co-authored together Bin Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20243
4 20242
5 20240
6 202412
7 20240
8 202315
9 202227
10 20212
11 20217
12 2020155
13 20190
14
A G3BP1-Interacting lncRNA Promotes Ferroptosis and Apoptosis in Cancer via Nuclear Sequestration of p53breakdown →
2018402
15 201869
16 201861
17 20173
18 201423
19 2006131
20
Increased resistance of tumor cells to hyperthermia mediated by integrin-linked kinase.
200330

About Bin Yan

Bin Yan is a scholar working on Cancer Research, Immunology and Oncology, having authored 179 papers that have together received 4.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Cancer-related molecular mechanisms research (13 papers), RNA Interference and Gene Delivery (10 papers), Pancreatic and Hepatic Oncology Research (10 papers), Cancer-related Molecular Pathways (9 papers), Cancer Cells and Metastasis (9 papers), NF-κB Signaling Pathways (8 papers) and MicroRNA in disease regulation (8 papers). The work is most often cited by research in Cancer Research (1.5k citations), Molecular Biology (2.8k citations) and Oncology (899 citations). Bin Yan has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Yongguang Tao, Chuan‐Yuan Li, Liang Cheng, Qingyong Ma, Ya Cao, Mark W. Dewhirst, Weikun Qian, Yongyong Shi, Yiqun Jiang and Junyu Cao. Their work appears in journals such as Scientific Reports, Cancers, Cancer Research, Annals of Oncology and Frontiers in Oncology.

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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