Jeremy D. Schmit
- Molecular Biology top 10%
- Protein Structure and Dynamics 20
- RNA Research and Splicing 8
- Protein purification and stability 4
- Prion Diseases and Protein Misfolding 4
- Physiology top 10%
- Alzheimer's disease research and treatments 12
- Biomaterials top 10%
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- Enzyme Structure and Function 7
- Material Dynamics and Properties 5
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- nanoparticles nucleation surface interactions 4
- Co-authors
- Ken A. DillKingshuk GhoshLinda O. NarhiDeepak K. SharmaKaroline Bechtold-PetersTatiana MitiMartin MuscholJianhan Chen
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of the American Chemical Society (2 papers)Physical Review Letters (3 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Jeremy D. Schmit
47 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 922
- Physiology 237
- Biomaterials 92
- Radiology, Nuclear Medicine and Imaging 144
- Structural Biology 8
Countries citing papers authored by Jeremy D. Schmit
This map shows the geographic impact of Jeremy D. Schmit'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 Jeremy D. Schmit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeremy D. Schmit more than expected).
Fields of papers citing papers by Jeremy D. Schmit
This network shows the impact of papers produced by Jeremy D. Schmit. 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 Jeremy D. Schmit. The network helps show where Jeremy D. Schmit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jeremy D. Schmit, 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 | 2026 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 9 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 43 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2018 | 41 | |
| 13 | 2016 | 15 | |
| 14 | 2011 | 223 | |
| 15 | 2011 | 177 | |
| 16 | Competition between counterion entropy and local binding selects dimensionality of charged nanostructures | 2010 | 1 |
| 17 | 2009 | 29 | |
| 18 | 2008 | 3 | |
| 19 | 2005 | 1 | |
| 20 | 2002 | 5 |
About Jeremy D. Schmit
Jeremy D. Schmit is a scholar working on Physiology, Molecular Biology and Physical and Theoretical Chemistry, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (20 papers), Alzheimer's disease research and treatments (12 papers), RNA Research and Splicing (8 papers), Enzyme Structure and Function (7 papers), Material Dynamics and Properties (5 papers), Protein purification and stability (4 papers), Prion Diseases and Protein Misfolding (4 papers) and nanoparticles nucleation surface interactions (4 papers). The work is most often cited by research in Molecular Biology (922 citations), Physiology (237 citations) and Biomaterials (92 citations). Jeremy D. Schmit has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Ken A. Dill, Kingshuk Ghosh, Linda O. Narhi, Deepak K. Sharma, Karoline Bechtold-Peters, Tatiana Miti, Martin Muschol, Jianhan Chen, Zhiguang Jia and Lingyun Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.