Bin Yan

6.7k citations
178 papers · 5.5k · 1 hit paper · h-index 41

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Bin Yan

170 papers receiving 5.4k citations

Bin Yan's Hit Papers

A G3BP1-Interacting lncRNA Promotes Ferroptosis and Apoptosis in Cancer via Nuclear Sequestration of p53 2018 · 423 citations
4230+2+5Years since publication100200300400

Peers

Bin Yan
Comparison fields: 5 of 124
  • Cancer Research 891
  • Drug Discovery 12
  • Oncology 750
  • Geriatrics and Gerontology 118
  • Pulmonary and Respiratory Medicine 729
Replace Manoj Garg with:
Manoj Garg India
Bin Liu China
Pankaj K. Singh United States
Hongjuan Cui China
Yuanliang Yan China
Yongguang Tao China
Seema Singh United States
Yongquan Shi China
Arun K. Rishi United States
Bin Yan relative to Manoj Garg India Manoj Garg's profile →
Citations per field
00.5×2×3×3.8×
Manoj Garg · 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-authors

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

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A G3BP1-Interacting lncRNA Promotes Ferroptosis and Apoptosis in Cancer via Nuclear Sequestration of p53
Hit paper breakdown →
2018423
2 2007391
3 2017250
4 2015163
5 2020162
6 2006145
7 2018134
8 2017121
9 2022108
10 2017107
11 2020107
12 2013103
13 200995
14 202095
15 202193
16 201691
17 201188
18 201688
19 201884
20 201876

About Bin Yan

Bin Yan is a scholar working on Oncology, Cancer Research, Molecular Biology, Ophthalmology and Surgery, having authored 178 papers that have together received 5.5k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (14 papers), Nanoplatforms for cancer theranostics (10 papers), Retinal Diseases and Treatments (9 papers), Nanoparticle-Based Drug Delivery (8 papers), Cancer Cells and Metastasis (7 papers), RNA Interference and Gene Delivery (7 papers), Heat shock proteins research (7 papers) and Platelet Disorders and Treatments (5 papers). The work is most often cited by research in Cancer Research (891 citations), Drug Discovery (12 citations), Oncology (750 citations), Geriatrics and Gerontology (118 citations) and Pulmonary and Respiratory Medicine (729 citations). Bin Yan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yongguang Tao, Chuan‐Yuan Li, Mark W. Dewhirst, Qingyong Ma, Ya Cao, Weikun Qian, Yiqun Jiang, Zahid N. Rabbani, Junyu Cao and Fang Li. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, Oncology Reports, Annals of Oncology and Cancer 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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