Enchun Pan

908 citations
39 papers · 712 indexed · h-index 15

Enchun Pan

37 papers receiving 705 citations

Peers

Enchun Pan
Comparison fields: 5 of 100
  • Cancer Research 372
  • Molecular Biology 456
  • Health, Toxicology and Mutagenesis 53
  • Endocrinology, Diabetes and Metabolism 45
  • Nephrology 19
Replace Meng Guo with:
Meng Guo China
Tsung‐Ho Ying Taiwan
Ping Song China
Meagan B. Myers United States
Sen Wei China
Tony T. Wu Taiwan
Kehua Jiang China
Maxim Sinitsky Russia
Kelie Chen China
Bertram Illert Germany
Enchun Pan relative to Meng Guo China Meng Guo's profile →
Citations per field
00.5×3.2×
Meng Guo · 1×
Citations per year

Countries citing papers authored by Enchun Pan

Since Specialization
Citations

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

Fields of papers citing papers by Enchun Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20230
3 20234
4 202111
5 202037
6 20206
7 20191
8 201911
9 20198
10 201930
11 201944
12 20181
13 201810
14 201715
15 201718
16
[Study on of the current status of volatile organic compounds pollution in typical rural drinking water and the relationship between its concentration and health of the population, in Huai'an, Jiangsu].
20142
17 201321
18
Detection and risk assessment of polycyclic aromatic hydrocarbons in underground and surface water of high cancer incidence area
20122
19 201291
20 20117

About Enchun Pan

Enchun Pan is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Health, Toxicology and Mutagenesis, having authored 39 papers that have together received 712 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Esophageal Cancer Research and Treatment (4 papers), Circular RNAs in diseases (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (372 citations), Molecular Biology (456 citations) and Health, Toxicology and Mutagenesis (53 citations). Enchun Pan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Yuepu Pu, Ran Liu, Miao Yang, Lihong Yin, Juan Liao, Wei Guo, Yi Wang, Jingyi Sheng, Lihong Yin and Peng Yuan. Their work appears in journals such as BMJ Open, International Journal of Molecular Sciences, BMC Public Health, Scientific Reports and Molecules and Cells.

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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