Yan Pan

1.3k citations
51 papers · 898 indexed · h-index 15

Impact in

    • Reservoir Engineering and Simulation Methods
    • Drilling and Well Engineering
    • Histone Deacetylase Inhibitors Research
    • Protein Degradation and Inhibitors
    • Plant Gene Expression Analysis
    • Epigenetics and DNA Methylation

Papers in

    • Reservoir Engineering and Simulation Methods 17
    • Drilling and Well Engineering 8
    • Enhanced Oil Recovery Techniques 5
    • Hydraulic Fracturing and Reservoir Analysis 17

Yan Pan

48 papers receiving 862 citations

Peers

Yan Pan
Comparison fields: 5 of 103
  • Ocean Engineering 143
  • Molecular Biology 483
  • Dermatology 44
  • Cancer Research 64
  • Pathology and Forensic Medicine 76
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Yan Pan relative to Safdar Abbas Pakistan Safdar Abbas's profile →
Citations per field
00.5×8.8×
Safdar Abbas · 1×
Citations per year

Countries citing papers authored by Yan Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yan Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
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5 20247
6 20223
7 202212
8 202217
9 202212
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11 202118
12 202144
13 202113
14 20201
15 20193
16 201954
17 20186
18 201374
19 201116
20 2008244

About Yan Pan

Yan Pan is a scholar working on Ocean Engineering, Mechanical Engineering, Pharmacology, Cancer Research and Molecular Biology, having authored 51 papers that have together received 898 indexed citations. Recurring topics across this work include Reservoir Engineering and Simulation Methods (17 papers), Hydraulic Fracturing and Reservoir Analysis (17 papers), Drilling and Well Engineering (8 papers), MicroRNA in disease regulation (5 papers), Enhanced Oil Recovery Techniques (5 papers), Extracellular vesicles in disease (4 papers), Circular RNAs in diseases (4 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Ocean Engineering (143 citations), Molecular Biology (483 citations), Dermatology (44 citations), Cancer Research (64 citations) and Pathology and Forensic Medicine (76 citations). Yan Pan has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Medhat M. Kamal, Chris McCormack, Daniel J. George, Howard A. Burris, Gail Ryan, Margaret Dugan, Xiaojun Nie, Joachim Beck, Guang Yang and Gordon K. Smyth. Their work appears in journals such as SPE Reservoir Evaluation & Engineering, BMC Genomics, International Journal of Molecular Sciences, Clinical Cancer Research and Cell Death Discovery.

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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