Jiangyu Yan

534 citations
16 papers · 235 · h-index 8

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 6
    • DNA and Nucleic Acid Chemistry 5
    • RNA Interference and Gene Delivery 3
    • RNA modifications and cancer 2
    • Fibroblast Growth Factor Research 2
    • DNA Repair Mechanisms 1
    • Nanoplatforms for cancer theranostics 3

Jiangyu Yan

16 papers receiving 234 citations

Peers

Jiangyu Yan
Comparison fields: 5 of 56
  • Molecular Biology 124
  • Endocrinology, Diabetes and Metabolism 25
  • Organic Chemistry 32
  • Sensory Systems 4
  • Cell Biology 14
Replace Priyanka Garg with:
Priyanka Garg United States
Tracey Boyden United States
Mike E. Lizarzaburu United States
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Takeshi Takazawa Japan
Alessandra Mezzetti Canada
Shaoxue Zeng China
Stefan Kavanagh United Kingdom
Kamelia Behnia United States
Taka-Aki Sato Japan
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Citations per field
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Citations per year

Countries citing papers authored by Jiangyu Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jiangyu Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202193
2 202144
3 202126
4 202414
5 202413
6 20209
7 20259
8 20247
9 20226
10 20226
11 20212
12 20222
13 20251
14 20261
15 20241
16 20201

About Jiangyu Yan

Jiangyu Yan is a scholar working on Molecular Biology, Biomedical Engineering, Organic Chemistry, Pulmonary and Respiratory Medicine and Surgery, having authored 16 papers that have together received 235 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA Interference and Gene Delivery (3 papers), Nanoplatforms for cancer theranostics (3 papers), Click Chemistry and Applications (2 papers), RNA modifications and cancer (2 papers), Fibroblast Growth Factor Research (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Molecular Biology (124 citations), Endocrinology, Diabetes and Metabolism (25 citations), Organic Chemistry (32 citations), Sensory Systems (4 citations) and Cell Biology (14 citations). Jiangyu Yan has collaborated with scholars based in China and Japan. Frequent co-authors include Jing Huang, Guorui Li, Zhibin Song, Lingli Bu, Song Liu, Qi Pan, Xiaoping Li, Baohua Gu, Lixin Guo and Liang Liu. Their work appears in journals such as Nucleic Acids Research, The Analyst, Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry and Analytical Chemistry.

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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