Bin Pan

828 citations
36 papers · 651 · h-index 16

Impact in

Papers in

    • Circular RNAs in diseases 7
    • RNA modifications and cancer 4
    • Cancer-related gene regulation 4
    • Epigenetics and DNA Methylation 3
    • Cancer-related molecular mechanisms research 12
    • MicroRNA in disease regulation 6
    • Cancer, Hypoxia, and Metabolism 3

Bin Pan

33 papers receiving 647 citations

Peers

Bin Pan
Comparison fields: 5 of 87
  • Cancer Research 259
  • Pathology and Forensic Medicine 112
  • Molecular Biology 365
  • Toxicology 13
  • Developmental Neuroscience 14
Replace Jianhua Wang with:
Jianhua Wang China
Zhenggang Bi China
Yanju Ma China
Guangqi Song China
Moonmoon Deb India
Yingjun Zhu China
Rui Han China
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Citations per field
00.5×3.5×
Jianhua Wang · 1×
Citations per year

Countries citing papers authored by Bin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Bin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201772
2 201656
3 201452
4 201648
5 201845
6 201233
7 201933
8 199631
9 201730
10 201529
11 201728
12 201827
13 202023
14 201822
15 202317
16 202016
17 202012
18 201611
19 202210
20 20189

About Bin Pan

Bin Pan is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Pharmacology and Pathology and Forensic Medicine, having authored 36 papers that have together received 651 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (7 papers), MicroRNA in disease regulation (6 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (3 papers), Ferroptosis and cancer prognosis (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (259 citations), Pathology and Forensic Medicine (112 citations), Molecular Biology (365 citations), Toxicology (13 citations) and Developmental Neuroscience (14 citations). Bin Pan has collaborated with scholars based in China and United States. Frequent co-authors include Zhongju Shi, Shiqing Feng, Zhijian Wei, Xiaohong Kong, Hengxing Zhou, Zexuan Su, Xiaohong Wang, Feng Li, Yawen Xu and Caiyong Lai. Their work appears in journals such as Molecular Biology Reports, BioMed Research International, Frontiers in Pharmacology, Frontiers in Cell and Developmental Biology and Journal of Cellular Physiology.

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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