Jin Yan

2.1k citations
82 papers · 1.7k · h-index 25

Impact in

Papers in

    • Protein Interaction Studies and Fluorescence Analysis 21
    • Metabolomics and Mass Spectrometry Studies 7
    • RNA modifications and cancer 4
    • Drug Transport and Resistance Mechanisms 11

Jin Yan

79 papers receiving 1.6k citations

Peers

Jin Yan
Comparison fields: 5 of 128
  • Pharmaceutical Science 145
  • Health, Toxicology and Mutagenesis 252
  • Analytical Chemistry 176
  • Spectroscopy 204
  • Molecular Biology 742
Replace Mario Suwalsky with:
Mario Suwalsky Chile
Haruhiro Okuda Japan
A. W. Andrews United States
M. Matilde Marques Portugal
Roger W. Giese United States
Xiaoda Yang China
Dwight W. Miller United States
Ines Mancini Italy
Robert V. Stick Australia
Peter M. Gannett United States
Jin Yan relative to Mario Suwalsky Chile Mario Suwalsky's profile →
Citations per field
00.5×1.5×2.3×
Mario Suwalsky · 1×
Citations per year

Countries citing papers authored by Jin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201597
2 201595
3 201893
4 201485
5 200764
6 201560
7 202051
8 201850
9 201848
10 201646
11 200645
12 201539
13 200738
14 201635
15 201532
16 201632
17 200630
18 202030
19 201330
20 201730

About Jin Yan

Jin Yan is a scholar working on Molecular Biology, Oncology, Materials Chemistry, Health, Toxicology and Mutagenesis and Spectroscopy, having authored 82 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (21 papers), Drug Transport and Resistance Mechanisms (11 papers), Analytical Chemistry and Chromatography (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Drug Solubulity and Delivery Systems (6 papers), Surfactants and Colloidal Systems (6 papers), Crystallization and Solubility Studies (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Pharmaceutical Science (145 citations), Health, Toxicology and Mutagenesis (252 citations), Analytical Chemistry (176 citations), Spectroscopy (204 citations) and Molecular Biology (742 citations). Jin Yan has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Hui Li, Di Wu, Qing Wang, Kailin Xu, Shanshan Li, Wentao Zhu, Lili Wang, Peixiao Tang, Jiawei He and Jing Wang. Their work appears in journals such as Environmental Pollution, Journal of Hazardous Materials, The Science of The Total Environment, Journal of Pharmaceutical and Biomedical Analysis and Carbohydrate Polymers.

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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