M. Date
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
- Advanced Condensed Matter Physics
-
- Quantum and electron transport phenomena
- Topological Materials and Phenomena
Papers in
-
- Animal testing and alternatives 2
-
- Biochemical and Molecular Research 1
- Co-authors
- Yang Zhang (1 shared paper)Niels B. M. Schröter (1 shared paper)Sailong Ju (1 shared paper)Brian N. Dominy (1 shared paper)Avanindra K. Pandeya (1 shared paper)Banabir Pal (1 shared paper)Margarita Davydova (1 shared paper)S. Parkin (1 shared paper)
- Journals
- Chemical Research in Toxicology (2 papers)ACS Chemical Biology (1 paper)Communications in Computational Physics (1 paper)Nature Physics (1 paper)Computational Toxicology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
M. Date
6 papers receiving 280 citations
M. Date's Hit Papers
Peers
Comparison fields: 5 of 57
- Condensed Matter Physics 131
- Atomic and Molecular Physics, and Optics 163
- Small Animals 16
- Electronic, Optical and Magnetic Materials 39
- Computational Theory and Mathematics 24
Countries citing papers authored by M. Date
This map shows the geographic impact of M. Date'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 M. Date with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Date more than expected).
Fields of papers citing papers by M. Date
This network shows the impact of papers produced by M. Date. 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 M. Date. The network helps show where M. Date may publish in the future.
Co-authors
The 25 scholars most cited alongside M. Date, 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 | Josephson diode effect from Cooper pair momentum in a topological semimetal Hit paper breakdown → | 2022 | 188 |
| 2 | 2014 | 26 | |
| 3 | 2013 | 26 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 11 | |
| 6 | 2018 | 7 |
About M. Date
M. Date is a scholar working on Small Animals, Molecular Biology, Dermatology, Atomic and Molecular Physics, and Optics and Environmental Chemistry, having authored 6 papers that have together received 282 indexed citations. Recurring topics across this work include Animal testing and alternatives (2 papers), Chemistry and Chemical Engineering (2 papers), Contact Dermatitis and Allergies (2 papers), Quantum and electron transport phenomena (1 paper), Physics of Superconductivity and Magnetism (1 paper), Computational Drug Discovery Methods (1 paper), Biochemical and Molecular Research (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Condensed Matter Physics (131 citations), Atomic and Molecular Physics, and Optics (163 citations), Small Animals (16 citations), Electronic, Optical and Magnetic Materials (39 citations) and Computational Theory and Mathematics (24 citations). M. Date has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Yang Zhang, Niels B. M. Schröter, Sailong Ju, Brian N. Dominy, Avanindra K. Pandeya, Banabir Pal, Margarita Davydova, S. Parkin, Liang Fu and Pranava K. Sivakumar. Their work appears in journals such as Chemical Research in Toxicology, ACS Chemical Biology, Communications in Computational Physics, Nature Physics and Computational Toxicology.
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.