David Hsieh
Impact in
- Condensed Matter Physics top 0.1%
- Advanced Condensed Matter Physics
- Physics of Superconductivity and Magnetism
- Atomic and Molecular Physics, and Optics top 0.05%
- Topological Materials and Phenomena
- Quantum and electron transport phenomena
- Quantum many-body systems
Papers in
-
- Advanced Condensed Matter Physics 39
- Physics of Superconductivity and Magnetism 30
-
- Magnetic and transport properties of perovskites and related materials 22
- Iron-based superconductors research 13
David Hsieh
80 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Condensed Matter Physics 5.5k
- Atomic and Molecular Physics, and Optics 11.9k
- Materials Chemistry 8.9k
- Electronic, Optical and Magnetic Materials 2.0k
- Acoustics and Ultrasonics 35
Countries citing papers authored by David Hsieh
This map shows the geographic impact of David Hsieh'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 David Hsieh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Hsieh more than expected).
Fields of papers citing papers by David Hsieh
This network shows the impact of papers produced by David Hsieh. 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 David Hsieh. The network helps show where David Hsieh may publish in the future.
Co-authors
The 25 scholars most cited alongside David Hsieh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 0 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 84 | |
| 15 | 2020 | 108 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 13 | |
| 18 | 2020 | 18 | |
| 19 | 2020 | 22 | |
| 20 | 2017 | 87 |
About David Hsieh
David Hsieh is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Atomic and Molecular Physics, and Optics, Materials Chemistry and Strategy and Management, having authored 82 papers that have together received 14.2k indexed citations. Recurring topics across this work include Advanced Condensed Matter Physics (39 papers), Physics of Superconductivity and Magnetism (30 papers), Topological Materials and Phenomena (26 papers), Magnetic and transport properties of perovskites and related materials (22 papers), Graphene research and applications (15 papers), Iron-based superconductors research (13 papers), Quantum and electron transport phenomena (10 papers) and 2D Materials and Applications (8 papers). The work is most often cited by research in Condensed Matter Physics (5.5k citations), Atomic and Molecular Physics, and Optics (11.9k citations), Materials Chemistry (8.9k citations), Electronic, Optical and Magnetic Materials (2.0k citations) and Acoustics and Ultrasonics (35 citations). David Hsieh has collaborated with scholars based in United States, China and Japan. Frequent co-authors include M. Zahid Hasan, R. J. Cava, Dong Qian, Y. S. Hor, L. Andrew Wray, Y. Xia, Arun Bansil, Hsin Lin, D. Grauer and Amit Kumar Pal. Their work appears in journals such as Physical Review Letters, Physical review. B., Physical Review B, Nature Physics and Nature.
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.