P. J. Goodford
- Molecular Biology top 2%
- Computational Theory and Mathematics top 0.2%
- Organic Chemistry top 5%
- Materials Chemistry top 10%
- Spectroscopy top 2%
- Co-authors
- Rebecca C. WadeC.R. BeddellR WoottonF. E. NorringtonStephen WilkinsonChristopher A. ReynoldsH. LüllmannRalph Devere White
- Topics
- Computational Drug Discovery Methods (11 papers)Hemoglobin structure and function (11 papers)Lipid Membrane Structure and Behavior (6 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
P. J. Goodford
60 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.5k
- Computational Theory and Mathematics 1.4k
- Organic Chemistry 628
- Materials Chemistry 507
- Spectroscopy 402
Countries citing papers authored by P. J. Goodford
This map shows the geographic impact of P. J. Goodford'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 P. J. Goodford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. J. Goodford more than expected).
Fields of papers citing papers by P. J. Goodford
This network shows the impact of papers produced by P. J. Goodford. 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 P. J. Goodford. The network helps show where P. J. Goodford may publish in the future.
Co-authorship network of co-authors of P. J. Goodford
This figure shows the co-authorship network connecting the top 25 collaborators of P. J. Goodford. A scholar is included among the top collaborators of P. J. Goodford 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 P. J. Goodford. P. J. Goodford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 170 | |
| 3 | 117 | |
| 4 | 261 | |
| 5 | 28 | |
| 6 | 2 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | A computational procedure for determining energetically favorable binding sites on biologically important macromoleculesbreakdown → | 2062 |
| 11 | 68 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 9 | |
| 15 | 28 | |
| 16 | 23 | |
| 17 | 43 | |
| 18 | 33 | |
| 19 | 109 | |
| 20 | 20 |
About P. J. Goodford
P. J. Goodford is a scholar working on Chemical Health and Safety, Cell Biology and Physical and Theoretical Chemistry, having authored 61 papers that have together received 3.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Hemoglobin structure and function (11 papers) and Lipid Membrane Structure and Behavior (6 papers). The work is most often cited by research in Computational Theory and Mathematics (1.4k citations), Molecular Biology (2.5k citations) and Spectroscopy (402 citations). P. J. Goodford has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Rebecca C. Wade, C.R. Beddell, R Wootton, F. E. Norrington, Stephen Wilkinson, Christopher A. Reynolds, H. Lüllmann, Ralph Devere White, G. KNEEN and Michael W. Wolowyk. Their work appears in journals such as Nature, The Journal of Physiology and FEBS 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.