Daniel Schmidt
Impact in
- Condensed Matter Physics top 10%
- Physics of Superconductivity and Magnetism
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- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
Papers in ⓘ
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- Geomagnetism and Paleomagnetism Studies 4
- RNA and protein synthesis mechanisms 4
- Viral Infectious Diseases and Gene Expression in Insects 3
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- Characterization and Applications of Magnetic Nanoparticles 9
- Microfluidic and Bio-sensing Technologies 4
- Co-authors
- Yungui He (7 shared papers)Willow Coyote‐Maestas (5 shared papers)Yong Ku Cho (1 shared paper)B.‐U. Runge (2 shared papers)U. Bölz (2 shared papers)P. Leǐderer (2 shared papers)Chad L. Myers (2 shared papers)Uwe Steinhoff (6 shared papers)
- Journals
- Nature Communications (3 papers)Journal of Applied Physics (2 papers)Human Gene Therapy (1 paper)Proteins Structure Function and Bioinformatics (1 paper)ACS Nano (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Daniel Schmidt
32 papers receiving 484 citations
Peers
Comparison fields: 5 of 94
- Condensed Matter Physics 85
- Genetics 125
- Molecular Biology 240
- Cellular and Molecular Neuroscience 49
- Physiology 10
Countries citing papers authored by Daniel Schmidt
This map shows the geographic impact of Daniel Schmidt'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 Daniel Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schmidt more than expected).
Fields of papers citing papers by Daniel Schmidt
This network shows the impact of papers produced by Daniel Schmidt. 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 Daniel Schmidt. The network helps show where Daniel Schmidt may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Schmidt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 86 | |
| 2 | 2003 | 70 | |
| 3 | 2014 | 42 | |
| 4 | 2012 | 39 | |
| 5 | 2022 | 34 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2003 | 19 | |
| 11 | 2003 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2016 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2017 | 12 | |
| 16 | 2022 | 8 | |
| 17 | 2023 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2003 | 4 |
About Daniel Schmidt
Daniel Schmidt is a scholar working on Molecular Biology, Biomedical Engineering, Genetics, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 495 indexed citations. Recurring topics across this work include Characterization and Applications of Magnetic Nanoparticles (9 papers), Virus-based gene therapy research (4 papers), Magnetic properties of thin films (4 papers), Geomagnetism and Paleomagnetism Studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Microfluidic and Bio-sensing Technologies (4 papers), Theoretical and Computational Physics (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Condensed Matter Physics (85 citations), Genetics (125 citations), Molecular Biology (240 citations), Cellular and Molecular Neuroscience (49 citations) and Physiology (10 citations). Daniel Schmidt has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Yungui He, Willow Coyote‐Maestas, Yong Ku Cho, B.‐U. Runge, U. Bölz, P. Leǐderer, Chad L. Myers, Uwe Steinhoff, Dietmar Eberbeck and Swaroop Aradhya. Their work appears in journals such as Nature Communications, Journal of Applied Physics, Human Gene Therapy, Proteins Structure Function and Bioinformatics and ACS Nano.
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.