Lin Yan

103 papers receiving 4.0k citations

Peers

Lin Yan
Comparison fields: 5 of 124
  • Surfaces, Coatings and Films 845
  • Endocrinology, Diabetes and Metabolism 756
  • Organic Chemistry 853
  • Biomedical Engineering 1.1k
  • Biomaterials 311
Replace Veronika Kozlovskaya with:
Veronika Kozlovskaya United States
Sung Woo Hong South Korea
Masayuki Yokoyama Japan
Silke Krol Italy
Kaitlin M. Bratlie United States
Ping Yuan China
Mies J. van Steenbergen Netherlands
Qing Song China
Yong Taik Lim South Korea
Jonathan K. Armstrong United States
Lin Yan relative to Veronika Kozlovskaya United States Veronika Kozlovskaya's profile →
Citations per field
00.5×6.9×
Veronika Kozlovskaya · 1×
Citations per year

Countries citing papers authored by Lin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000494
2 1999383
3 2001313
4 1999265
5 1996214
6 2000214
7 1999180
8 1998125
9 1997111
10 1994108
11 1999108
12 1996105
13 1998102
14 199585
15 199982
16 201081
17 202170
18 202070
19 199757
20 199956

About Lin Yan

Lin Yan is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology, Biomedical Engineering and Epidemiology, having authored 105 papers that have together received 4.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (59 papers), Thyroid and Parathyroid Surgery (48 papers), Head and Neck Anomalies (35 papers), Molecular Junctions and Nanostructures (9 papers), Neuroendocrine Tumor Research Advances (9 papers), Polymer Surface Interaction Studies (7 papers), Carbohydrate Chemistry and Synthesis (6 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Surfaces, Coatings and Films (845 citations), Endocrinology, Diabetes and Metabolism (756 citations), Organic Chemistry (853 citations), Biomedical Engineering (1.1k citations) and Biomaterials (311 citations). Lin Yan has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include George M. Whitesides, Emanuele Ostuni, Daniel Kahne, Robert Chapman, Shuichi Takayama, R. Erik Holmlin, Jing Xiao, Mingbo Zhang, Yukun Luo and Xiaomei Zhao. Their work appears in journals such as International Journal of Hyperthermia, European Radiology, Frontiers in Endocrinology, Journal of the American Chemical Society and Langmuir.

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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