Phillip S. Hudson
- Molecular Biology
- Atomic and Molecular Physics, and Optics top 10%
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Spectroscopy
- Co-authors
- H. Lee WoodcockStefan BoreschGerhard KönigFiona L. KearnsDavid RogersBernard R. BrooksKyungreem HanMichael R. Jones
- Topics
- Protein Structure and Dynamics (11 papers)Spectroscopy and Quantum Chemical Studies (8 papers)Advanced NMR Techniques and Applications (5 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsMolecular BiologyComputational Theory and Mathematics
- Journals
- Journal of the American Chemical SocietyInternational Journal of Molecular SciencesMethods in enzymology on CD-ROM/Methods in enzymology
- Partner nations
- United StatesAustriaIndia
In The Last Decade
Phillip S. Hudson
16 papers receiving 404 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 286
- Atomic and Molecular Physics, and Optics 230
- Materials Chemistry 100
- Computational Theory and Mathematics 65
- Spectroscopy 47
Countries citing papers authored by Phillip S. Hudson
This map shows the geographic impact of Phillip S. Hudson'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 Phillip S. Hudson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip S. Hudson more than expected).
Fields of papers citing papers by Phillip S. Hudson
This network shows the impact of papers produced by Phillip S. Hudson. 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 Phillip S. Hudson. The network helps show where Phillip S. Hudson may publish in the future.
Co-authorship network of co-authors of Phillip S. Hudson
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip S. Hudson. A scholar is included among the top collaborators of Phillip S. Hudson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip S. Hudson. Phillip S. Hudson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 20 | |
| 7 | 44 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 31 | |
| 11 | 31 | |
| 12 | 8 | |
| 13 | 63 | |
| 14 | 28 | |
| 15 | 115 | |
| 16 | 9 |
About Phillip S. Hudson
Phillip S. Hudson is a scholar working on Physical and Theoretical Chemistry, Spectroscopy and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 407 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), Spectroscopy and Quantum Chemical Studies (8 papers) and Advanced NMR Techniques and Applications (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (230 citations), Molecular Biology (286 citations) and Computational Theory and Mathematics (65 citations). Phillip S. Hudson has collaborated with scholars based in United States, Austria and India. Frequent co-authors include H. Lee Woodcock, Stefan Boresch, Gerhard König, Fiona L. Kearns, David Rogers, Bernard R. Brooks, Kyungreem Han, Michael R. Jones, Edward P. O’Brien and Milan Hodošček. Their work appears in journals such as Journal of the American Chemical Society, International Journal of Molecular Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.
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.