Jing Yan

4.9k citations
69 papers · 3.6k indexed · 2 hit papers · h-index 28

Impact in

Papers in

Jing Yan

68 papers receiving 3.6k citations

Hit Papers

Surviving as a Community: Antibiotic Tolerance and Persistence in Bacterial Biofilms 2019 · 529 citations
5292016202620192022100200300400500

Peers

Jing Yan
Comparison fields: 5 of 151
  • Condensed Matter Physics 1.1k
  • Endocrinology 256
  • Molecular Medicine 223
  • Materials Chemistry 1.1k
  • Biomedical Engineering 985
Replace Kun Zhao with:
Kun Zhao China
Douglas B. Weibel United States
Fan Jin China
Andrew S. Utada United States
Jacinta C. Conrad United States
Oliver Lieleg Germany
John Dutcher Canada
Raimo Hartmann Germany
Pavimol Angsantikul United States
Vernita Gordon United States
Jing Yan relative to Kun Zhao China Kun Zhao's profile →
Citations per field
00.5×3.4×
Kun Zhao · 1×
Citations per year

Countries citing papers authored by Jing Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jing Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20255
3 20250
4 20246
5 20245
6 20243
7 202324
8 20231
9 202320
10 202321
11 202212
12 202152
13 202118
14 202150
15 202095
16 201973
17 201873
18 201756
19 2017127
20 2016125

About Jing Yan

Jing Yan is a scholar working on Endocrinology, Condensed Matter Physics, Biomaterials, Molecular Medicine and Complementary and Manual Therapy, having authored 69 papers that have together received 3.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (21 papers), Micro and Nano Robotics (17 papers), Pickering emulsions and particle stabilization (16 papers), Vibrio bacteria research studies (14 papers), Microbial Community Ecology and Physiology (8 papers), Cellular Mechanics and Interactions (6 papers), Modular Robots and Swarm Intelligence (4 papers) and Superconducting Materials and Applications (3 papers). The work is most often cited by research in Condensed Matter Physics (1.1k citations), Endocrinology (256 citations), Molecular Medicine (223 citations), Materials Chemistry (1.1k citations) and Biomedical Engineering (985 citations). Jing Yan has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Bonnie L. Bassler, Steve Granick, Sung Chul Bae, Erik Luijten, Jie Zhang, Howard A. Stone, Ming Han, Ned S. Wingreen, Cong Xu and Carey D. Nadell. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Soft Matter, Advanced Materials and Nature Physics.

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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