Yan Sun

22.7k total citations · 11 hit papers
205 papers, 16.2k citations indexed

About

Yan Sun is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Yan Sun has authored 205 papers receiving a total of 16.2k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Atomic and Molecular Physics, and Optics, 131 papers in Materials Chemistry and 59 papers in Condensed Matter Physics. Recurrent topics in Yan Sun's work include Topological Materials and Phenomena (118 papers), Graphene research and applications (65 papers) and 2D Materials and Applications (47 papers). Yan Sun is often cited by papers focused on Topological Materials and Phenomena (118 papers), Graphene research and applications (65 papers) and 2D Materials and Applications (47 papers). Yan Sun collaborates with scholars based in Germany, China and United States. Yan Sun's co-authors include Claudia Felser, Binghai Yan, Chandra Shekhar, S. Parkin, Nitesh Kumar, Xing‐Qiu Chen, Marcus Schmidt, Yang Zhang, Shu-Chun Wu and Cesare Franchini and has published in prestigious journals such as Nature, Science and Physical Review Letters.

In The Last Decade

Yan Sun

199 papers receiving 16.0k citations

Hit Papers

Dirac semimetal and topological phase transitions inA3Bi ... 2012 2026 2016 2021 2012 2017 2016 2015 2015 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yan Sun Germany 56 10.4k 9.9k 4.3k 3.3k 2.5k 205 16.2k
Binghai Yan Germany 69 14.4k 1.4× 12.9k 1.3× 6.3k 1.5× 4.3k 1.3× 3.0k 1.2× 280 21.6k
Chandra Shekhar Germany 44 5.4k 0.5× 4.9k 0.5× 2.6k 0.6× 2.5k 0.7× 1.3k 0.5× 135 9.6k
M. Taniguchi Japan 54 4.2k 0.4× 5.3k 0.5× 3.5k 0.8× 3.5k 1.1× 3.0k 1.2× 592 11.3k
Eli Rotenberg United States 66 9.8k 0.9× 14.1k 1.4× 5.4k 1.2× 4.8k 1.4× 5.5k 2.2× 328 21.9k
Marcus Schmidt Germany 37 3.9k 0.4× 3.8k 0.4× 2.5k 0.6× 2.4k 0.7× 1.4k 0.5× 221 8.5k
Kai Liu United States 56 4.8k 0.5× 4.1k 0.4× 2.8k 0.6× 4.2k 1.3× 2.0k 0.8× 304 10.1k
M. I. Eremets Germany 43 2.7k 0.3× 5.8k 0.6× 3.7k 0.8× 2.5k 0.8× 1.4k 0.6× 122 12.8k
Hanyu Liu China 59 2.5k 0.2× 7.2k 0.7× 3.4k 0.8× 1.4k 0.4× 1.6k 0.7× 372 12.9k
Jong Kyu Kim South Korea 55 3.9k 0.4× 7.6k 0.8× 6.4k 1.5× 3.0k 0.9× 7.6k 3.1× 248 15.9k
J. Fink Germany 72 4.6k 0.4× 8.4k 0.9× 7.1k 1.6× 5.0k 1.5× 3.8k 1.5× 400 18.1k

Countries citing papers authored by Yan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Sun. A scholar is included among the top collaborators of Yan Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yan Sun. Yan Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Shan, et al.. (2025). Decision and coordination of sustainable supply chain considering CSR implementation and channel leadership. RAIRO. Operations research. 59(2). 907–937. 1 indexed citations
2.
Guo, Zixuan, Haoyuan Qin, Pengnian Shan, et al.. (2025). Photo-activated piezoelectric-catalyzed hydrogen peroxide production in pure water by carbon-modified graphitic carbon nitride. Chemical Engineering Journal. 520. 165829–165829. 1 indexed citations
3.
Liang, Hui, Yiyan Wang, Na Li, et al.. (2025). Anomalous and topological Hall effect in the kagome magnet ZrMn6Sn6. Physical review. B.. 111(20).
4.
Liu, Mingfeng, Jian-Tao Wang, Peitao Liu, et al.. (2024). Layer-by-layer phase transformation in Ti3O5 revealed by machine-learning molecular dynamics simulations. Nature Communications. 15(1). 3079–3079. 16 indexed citations
5.
Liu, Xiangyang, et al.. (2024). Molecular beam epitaxy growth and doping modulation of topological semimetal NiTe2. Applied Physics Letters. 125(5).
6.
He, Bin, M. Yao, Yu Pan, et al.. (2024). Enhanced Weyl semimetal signature in Co3Sn2S2 Kagome ferromagnet by chlorine doping. Communications Materials. 5(1). 1 indexed citations
7.
Lai, Junwen, Peitao Liu, Tomonori Shirakawa, et al.. (2024). Universal Enhancement Effect of Nonlinear Optical Response from Band Hybridization. Advanced Optical Materials. 12(29). 2 indexed citations
8.
Liu, Kai, Wusheng Fan, Yan Sun, et al.. (2024). Topological Heusler Magnets‐Driven High‐Performance Transverse Nernst Thermoelectric Generators. Advanced Energy Materials. 14(21). 17 indexed citations
9.
Wang, Di, Dandan Wang, Yan Sun, et al.. (2024). Domain wall magnetic tunnel junction-based artificial synapses and neurons for all-spin neuromorphic hardware. Nature Communications. 15(1). 4534–4534. 37 indexed citations
10.
Sun, Yan, et al.. (2023). Large shift current, π Zak phase, and the unconventional nature of Se and Te. Physical Review Research. 5(2). 10 indexed citations
11.
Wang, Di, Huai Lin, Nuo Xu, et al.. (2023). Spintronic leaky-integrate-fire spiking neurons with self-reset and winner-takes-all for neuromorphic computing. Nature Communications. 14(1). 1068–1068. 59 indexed citations
12.
Liu, Mingfeng, Xiangyang Liu, Jiangxu Li, et al.. (2023). Parent structures of near-ambient nitrogen-doped lutetium hydride superconductor. Physical review. B.. 108(2). 26 indexed citations
13.
Železný, Jakub, et al.. (2023). High-throughput study of the anomalous Hall effect. npj Computational Materials. 9(1). 7 indexed citations
14.
Lei, Shiming, Jianwei Huang, Brian Casas, et al.. (2023). Weyl nodal ring states and Landau quantization with very large magnetoresistance in square-net magnet EuGa4. Nature Communications. 14(1). 5812–5812. 5 indexed citations
15.
Tu, Ren, Kaili Liang, Yan Sun, et al.. (2022). Ultra-Dilute high-entropy alloy catalyst with core-shell structure for high-active hydrogenation of furfural to furfuryl alcohol at mild temperature. Chemical Engineering Journal. 452. 139526–139526. 45 indexed citations
16.
Guo, Chunyu, Lun‐Hui Hu, Carsten Putzke, et al.. (2022). Quasi-symmetry-protected topology in a semi-metal. Nature Physics. 18(7). 813–818. 32 indexed citations
17.
Le, Congcong, Claudia Felser, & Yan Sun. (2021). Design strong anomalous Hall effect via spin canting in antiferromagnetic nodal line materials. Physical review. B.. 104(12). 9 indexed citations
18.
Yang, S. Y., Jonathan Noky, Jacob Gayles, et al.. (2020). Field-Modulated Anomalous Hall Conductivity and Planar Hall Effect in Co3Sn2S2 Nanoflakes. Nano Letters. 20(11). 7860–7867. 39 indexed citations
19.
Liu, Defa, Aiji Liang, Enke Liu, et al.. (2019). Magnetic Weyl semimetal phase in a Kagomé crystal. Science. 365(6459). 1282–1285. 591 indexed citations breakdown →
20.
Shekhar, Chandra, F. Arnold, Shu-Chun Wu, et al.. (2015). Large and unsaturated negative magnetoresistance induced by the chiral anomaly in the Weyl semimetal TaP. arXiv (Cornell University). 22 indexed citations

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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