Daniel L. Parton
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- Lipid Membrane Structure and Behavior
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 6
- Lipid Membrane Structure and Behavior 4
- Glycosylation and Glycoproteins Research 2
- Viral Infectious Diseases and Gene Expression in Insects 1
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- Cellular Mechanics and Interactions 2
- Co-authors
- Mark S.P. Sansom (6 shared papers)Marc Baaden (2 shared papers)James F. Clark (1 shared paper)Peter J. Bond (1 shared paper)John D. Chodera (3 shared papers)Alex Tek (1 shared paper)Elena Akhmatskaya (1 shared paper)Matthieu Chavent (1 shared paper)
- Journals
- Biophysical Journal (3 papers)PLoS Computational Biology (2 papers)The Journal of Physical Chemistry B (2 papers)Structure (2 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Daniel L. Parton
12 papers receiving 506 citations
Peers
Comparison fields: 5 of 71
- Microbiology 69
- Molecular Biology 403
- Cell Biology 72
- Structural Biology 5
- Biophysics 14
Countries citing papers authored by Daniel L. Parton
This map shows the geographic impact of Daniel L. Parton'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 L. Parton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Parton more than expected).
Fields of papers citing papers by Daniel L. Parton
This network shows the impact of papers produced by Daniel L. Parton. 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 L. Parton. The network helps show where Daniel L. Parton may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel L. Parton, 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 | 2011 | 107 | |
| 2 | 2015 | 79 | |
| 3 | 2016 | 77 | |
| 4 | 2008 | 62 | |
| 5 | 2013 | 47 | |
| 6 | 2018 | 37 | |
| 7 | 2012 | 32 | |
| 8 | 2011 | 28 | |
| 9 | 2014 | 19 | |
| 10 | 2016 | 16 | |
| 11 | 2012 | 8 | |
| 12 | 2015 | 1 |
About Daniel L. Parton
Daniel L. Parton is a scholar working on Molecular Biology, Cell Biology, Ecology, Cardiology and Cardiovascular Medicine and Virology, having authored 12 papers that have together received 513 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Lipid Membrane Structure and Behavior (4 papers), Glycosylation and Glycoproteins Research (2 papers), Bacteriophages and microbial interactions (2 papers), Cellular Mechanics and Interactions (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Allergic Rhinitis and Sensitization (1 paper) and Renal cell carcinoma treatment (1 paper). The work is most often cited by research in Microbiology (69 citations), Molecular Biology (403 citations), Cell Biology (72 citations), Structural Biology (5 citations) and Biophysics (14 citations). Daniel L. Parton has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Mark S.P. Sansom, Marc Baaden, James F. Clark, Peter J. Bond, John D. Chodera, Alex Tek, Elena Akhmatskaya, Matthieu Chavent, Philip W. Fowler and Tyler Reddy. Their work appears in journals such as Biophysical Journal, PLoS Computational Biology, The Journal of Physical Chemistry B, Structure and Journal of Medicinal Chemistry.
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.