James Jun He

1.7k total citations · 1 hit paper
31 papers, 1.1k citations indexed

About

James Jun He is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, James Jun He has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Atomic and Molecular Physics, and Optics, 20 papers in Condensed Matter Physics and 13 papers in Materials Chemistry. Recurrent topics in James Jun He's work include Topological Materials and Phenomena (25 papers), Advanced Condensed Matter Physics (14 papers) and Physics of Superconductivity and Magnetism (8 papers). James Jun He is often cited by papers focused on Topological Materials and Phenomena (25 papers), Advanced Condensed Matter Physics (14 papers) and Physics of Superconductivity and Magnetism (8 papers). James Jun He collaborates with scholars based in China, Japan and Hong Kong. James Jun He's co-authors include K. T. Law, Naoto Nagaosa, Yukio Tanaka, Franco Nori, Tao Liu, Tai Kai Ng, Chui‐Zhen Chen, Muhammad Safdar, Zhenxing Wang and Qisheng Wang and has published in prestigious journals such as Physical Review Letters, Nature Communications and Nano Letters.

In The Last Decade

James Jun He

29 papers receiving 1.1k citations

Hit Papers

A phenomenological theory of superconductor diodes 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Jun He China 16 928 613 478 134 80 31 1.1k
Michael Schütt United States 12 495 0.5× 260 0.4× 385 0.8× 192 1.4× 89 1.1× 22 741
Naoyuki Sugimoto Japan 7 731 0.8× 377 0.6× 311 0.7× 264 2.0× 94 1.2× 10 866
Benedetta Flebus United States 18 769 0.8× 334 0.5× 267 0.6× 183 1.4× 198 2.5× 43 952
N. ABE Japan 12 437 0.5× 343 0.6× 224 0.5× 307 2.3× 57 0.7× 24 774
Lun‐Hui Hu China 14 840 0.9× 574 0.9× 404 0.8× 226 1.7× 45 0.6× 38 987
G. G. Kenning United States 15 283 0.3× 607 1.0× 299 0.6× 181 1.4× 23 0.3× 31 737
Hiroki Tsuchiura Japan 18 600 0.6× 508 0.8× 209 0.4× 684 5.1× 39 0.5× 73 992
Zhanybek Alpichshev United States 10 834 0.9× 342 0.6× 629 1.3× 92 0.7× 95 1.2× 16 988
András Gyenis United States 14 666 0.7× 710 1.2× 444 0.9× 461 3.4× 84 1.1× 22 1.3k
S. Krause Germany 17 772 0.8× 311 0.5× 173 0.4× 244 1.8× 189 2.4× 28 871

Countries citing papers authored by James Jun He

Since Specialization
Citations

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

Fields of papers citing papers by James Jun He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Jun He. 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 James Jun He. The network helps show where James Jun He may publish in the future.

Co-authorship network of co-authors of James Jun He

This figure shows the co-authorship network connecting the top 25 collaborators of James Jun He. A scholar is included among the top collaborators of James Jun He 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 James Jun He. James Jun He 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.
Wang, Changlong, Xiang Ma, Junjie Wu, et al.. (2024). Superconducting-diode effect induced by inversion-symmetry breaking in a stepped NbSe2 nanoflake. Physical Review Applied. 22(6). 3 indexed citations
2.
Bi, Han & James Jun He. (2024). Vertical optical transitions of helical Majorana edge modes in topological superconductors. Physical review. B.. 109(21). 2 indexed citations
3.
He, James Jun, Yukio Tanaka, & Naoto Nagaosa. (2023). The supercurrent diode effect and nonreciprocal paraconductivity due to the chiral structure of nanotubes. Nature Communications. 14(1). 3330–3330. 17 indexed citations
4.
Kawamura, Minoru, Ryutaro Yoshimi, Motoaki Hirayama, et al.. (2022). Nonreciprocal charge transport in topological superconductor candidate Bi2Te3/PdTe2 heterostructure. npj Quantum Materials. 7(1). 33 indexed citations
5.
He, James Jun, Yukio Tanaka, & Naoto Nagaosa. (2022). A phenomenological theory of superconductor diodes. New Journal of Physics. 24(5). 53014–53014. 176 indexed citations breakdown →
6.
Cho, Chang-Woo, James Jun He, Д. А. Чареев, et al.. (2021). Evidence for the Fulde–Ferrell–Larkin–Ovchinnikov state in bulk NbS2. Nature Communications. 12(1). 3676–3676. 28 indexed citations
7.
Lü, Shun, Jianying Zhou, Xiaomin Niu, et al.. (2021). Fruquintinib with gefitinib as first-line therapy in patients carrying EGFR mutations with advanced non-small cell lung cancer: a single-arm, phase II study. Translational Lung Cancer Research. 10(2). 839–854. 8 indexed citations
8.
He, James Jun, Yukio Tanaka, & Naoto Nagaosa. (2021). Optical Responses of Chiral Majorana Edge States in Two-Dimensional Topological Superconductors. Physical Review Letters. 126(23). 237002–237002. 14 indexed citations
9.
He, James Jun, et al.. (2019). Platform of chiral Majorana edge modes and its quantum transport phenomena. arXiv (Cornell University). 22 indexed citations
10.
Wu, Yingying, James Jun He, Shuigang Xu, et al.. (2019). Induced Ising spin-orbit interaction in metallic thin films on monolayer WSe2. Physical review. B.. 99(12). 16 indexed citations
11.
He, Wen‐Yu, Benjamin T. Zhou, James Jun He, et al.. (2018). Magnetic field driven nodal topological superconductivity in monolayer transition metal dichalcogenides. Communications Physics. 1(1). 98 indexed citations
12.
Chen, Chui‐Zhen, James Jun He, Mazhar N. Ali, et al.. (2018). Asymmetric Josephson effect in inversion symmetry breaking topological materials. Physical review. B.. 98(7). 69 indexed citations
13.
Li, Hui, Benjamin T. Zhou, James Jun He, et al.. (2017). Origin of bias-independent conductance plateaus and zero-bias conductance peaks in Bi2Se3/NbSe2 hybrid structures. Physical review. B.. 96(7). 15 indexed citations
14.
He, James Jun, et al.. (2014). BDI Class Topological Superconductors and Generating Correlated Spin Currents in Quantum Anomalous Hall insulators. Bulletin of the American Physical Society. 2014. 1 indexed citations
15.
He, James Jun, et al.. (2014). Correlated spin currents generated by resonant-crossed Andreev reflections in topological superconductors. Nature Communications. 5(1). 3232–3232. 67 indexed citations
16.
He, James Jun, et al.. (2014). Selective Equal-Spin Andreev Reflections Induced by Majorana Fermions. Physical Review Letters. 112(3). 37001–37001. 125 indexed citations
17.
Wang, Qisheng, Muhammad Safdar, Zhenxing Wang, et al.. (2014). Topological Crystalline Insulator Pb1-xSnxSe Nanowires with {100} Facets. Small. 11(17). 2019–2025. 10 indexed citations
18.
Safdar, Muhammad, Qisheng Wang, Misbah Mirza, et al.. (2013). Topological Surface Transport Properties of Single-Crystalline SnTe Nanowire. Nano Letters. 13(11). 5344–5349. 107 indexed citations
19.
He, James Jun. (1983). Intrinsically derived deformational defects secondary to spinal dysraphism.. PubMed. 7(4). 253–6. 6 indexed citations
20.
He, James Jun, et al.. (1978). Problems of diagnosis and treatment in the Dandy-Walker syndrome.. PubMed. 18. 123–4. 7 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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