Shan Yan

2.3k citations
96 papers · 1.7k · h-index 23

Impact in

    • DNA Repair Mechanisms
    • CRISPR and Genetic Engineering
    • Epigenetics and DNA Methylation
    • DNA and Nucleic Acid Chemistry
    • Carcinogens and Genotoxicity Assessment

Papers in

    • DNA Repair Mechanisms 33
    • CRISPR and Genetic Engineering 10
    • DNA and Nucleic Acid Chemistry 6
    • Mitochondrial Function and Pathology 4
    • Epigenetics and DNA Methylation 4
    • Cancer-related Molecular Pathways 6

Shan Yan

91 papers receiving 1.6k citations

Peers

Shan Yan
Comparison fields: 5 of 132
  • Molecular Biology 1.2k
  • Cancer Research 262
  • Oncology 339
  • Cell Biology 174
  • Aging 15
Replace Chao Tang with:
Chao Tang China
Klaus Holzmann Austria
Xiaofeng Wu China
Bin Ren China
Khurshid Iqbal Andrabi India
Shan Lin United States
Sabine Schmitt Germany
Wan‐Chun Li Taiwan
Yiwei Wang China
Carlo Rodolfo Italy
Shan Yan relative to Chao Tang China Chao Tang's profile →
Citations per field
00.5×2.8×
Chao Tang · 1×
Citations per year

Countries citing papers authored by Shan Yan

Since Specialization
Citations

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

Fields of papers citing papers by Shan Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014172
2 201387
3 200981
4 201077
5 201557
6 200955
7 201855
8 201952
9 201748
10 201648
11 200648
12 200146
13 201840
14 200938
15 201634
16 201633
17 201831
18 201731
19 201230
20 201730

About Shan Yan

Shan Yan is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Plant Science, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (33 papers), Carcinogens and Genotoxicity Assessment (12 papers), CRISPR and Genetic Engineering (10 papers), Microtubule and mitosis dynamics (8 papers), DNA and Nucleic Acid Chemistry (6 papers), Cancer-related Molecular Pathways (6 papers), Mitochondrial Function and Pathology (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (262 citations), Oncology (339 citations), Cell Biology (174 citations) and Aging (15 citations). Shan Yan has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include W. Matthew Michael, Christine Richardson, Yogin Patel, Jia Li, Howard D. Lindsay, Karlene A. Cimprich, Anne McMahon, S Waga, Christopher Van and Haichao Zhao. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Nucleic Acids Research, The Journal of Cell Biology and Annals of Palliative Medicine.

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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