Paul W. Sheppard
- Molecular Biology top 5%
- Physiology top 5%
- Oncology top 10%
- Epidemiology top 10%
- Cell Biology top 5%
- Co-authors
- Robert LayfieldJames R. CaveyMark S. SearleR. John MayerSimon PaineLynn BedfordBarbara CianiStuart H. Ralston
- Topics
- Ubiquitin and proteasome pathways (16 papers)Cancer-related Molecular Pathways (8 papers)Autophagy in Disease and Therapy (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Paul W. Sheppard
32 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.4k
- Physiology 522
- Oncology 450
- Epidemiology 419
- Cell Biology 414
Countries citing papers authored by Paul W. Sheppard
This map shows the geographic impact of Paul W. Sheppard'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 Paul W. Sheppard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul W. Sheppard more than expected).
Fields of papers citing papers by Paul W. Sheppard
This network shows the impact of papers produced by Paul W. Sheppard. 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 Paul W. Sheppard. The network helps show where Paul W. Sheppard may publish in the future.
Co-authorship network of co-authors of Paul W. Sheppard
This figure shows the co-authorship network connecting the top 25 collaborators of Paul W. Sheppard. A scholar is included among the top collaborators of Paul W. Sheppard 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 Paul W. Sheppard. Paul W. Sheppard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | 82 | |
| 3 | 160 | |
| 4 | 208 | |
| 5 | 34 | |
| 6 | 186 | |
| 7 | 250 | |
| 8 | 22 | |
| 9 | 39 | |
| 10 | 128 | |
| 11 | 63 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 108 | |
| 15 | 7 | |
| 16 | 98 | |
| 17 | 33 | |
| 18 | The production and characterisation of monoclonal antibodies to myc, c-erbB-2 and EFG-receptor using a synthetic peptide approach. | 5 |
| 19 | 24 | |
| 20 | 46 |
About Paul W. Sheppard
Paul W. Sheppard is a scholar working on Oncology, Molecular Biology and Cell Biology, having authored 32 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (16 papers), Cancer-related Molecular Pathways (8 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Cell Biology (414 citations), Molecular Biology (1.4k citations) and Physiology (522 citations). Paul W. Sheppard has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Robert Layfield, James R. Cavey, Mark S. Searle, R. John Mayer, Simon Paine, Lynn Bedford, Barbara Ciani, Stuart H. Ralston, Ian M. Varndell and Jeroen Roelofs. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological 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.