Sun Yan

624 citations
21 papers · 506 · h-index 12

Impact in

Papers in

Sun Yan

19 papers receiving 498 citations

Peers

Sun Yan
Comparison fields: 5 of 82
  • Inorganic Chemistry 225
  • Biological Psychiatry 17
  • Electronic, Optical and Magnetic Materials 94
  • Condensed Matter Physics 52
  • Nutrition and Dietetics 66
Replace Nabanita Saikia with:
Nabanita Saikia United States
Zhang Jing Zhang China
J. Åselius Sweden
Muhammad Shahbaz Pakistan
Rahul Purohit India
M. K. Bhide India
Robert A. Felty United States
Congcong Pei China
Jamie N. T. Peck United Kingdom
Sijia Qin China
Sun Yan relative to Nabanita Saikia United States Nabanita Saikia's profile →
Citations per field
00.5×10×16.1×
Nabanita Saikia · 1×
Citations per year

Countries citing papers authored by Sun Yan

Since Specialization
Citations

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

Fields of papers citing papers by Sun Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003156
2 199893
3 201933
4 201930
5 198829
6 202227
7 202223
8 202022
9 202321
10 202113
11 202013
12 198811
13 202011
14 20198
15 20195
16 20224
17 20223
18 20193
19 20251
20 20250

About Sun Yan

Sun Yan is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Materials Chemistry, Electrical and Electronic Engineering and Inorganic Chemistry, having authored 21 papers that have together received 506 indexed citations. Recurring topics across this work include Multiferroics and related materials (7 papers), Advanced Condensed Matter Physics (7 papers), 2D Materials and Applications (7 papers), Magnetic and transport properties of perovskites and related materials (6 papers), Physics of Superconductivity and Magnetism (3 papers), Vanadium and Halogenation Chemistry (2 papers), Gut microbiota and health (2 papers) and Graphene research and applications (2 papers). The work is most often cited by research in Inorganic Chemistry (225 citations), Biological Psychiatry (17 citations), Electronic, Optical and Magnetic Materials (94 citations), Condensed Matter Physics (52 citations) and Nutrition and Dietetics (66 citations). Sun Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chris Orvig, Violet G. Yuen, John H. McNeill, Ika A. Setyawati, E. N. Farabaugh, Xuan Luo, Rongrong Cheng, Sanjay Bhanot, Veranja Karunaratne and Barry D. Liboiron. Their work appears in journals such as Physical review. B., The Journal of Physical Chemistry C, Journal of Applied Physics, RSC Advances and Thin Solid Films.

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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