Peter Sheffield
Impact in
- Aging top 5%
- Cell Biology top 5%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
Papers in ⓘ
- Aging 1
- Co-authors
- Zygmunt S. Derewenda (12 shared papers)Sarah Garrard (5 shared papers)Ian G. Macara (2 shared papers)Kenton L. Longenecker (3 shared papers)Urszula Derewenda (8 shared papers)Makoto Noda (1 shared paper)Sitong Sheng (1 shared paper)Carey J. Oliver (1 shared paper)
- Journals
- Protein Engineering Design and Selection (3 papers)BMJ Open (2 papers)Journal of Biological Chemistry (2 papers)Protein Expression and Purification (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Peter Sheffield
27 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Aging 40
- Cell Biology 293
- Molecular Biology 975
- Immunology and Allergy 48
- Biochemistry 56
Countries citing papers authored by Peter Sheffield
This map shows the geographic impact of Peter Sheffield'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 Peter Sheffield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Sheffield more than expected).
Fields of papers citing papers by Peter Sheffield
This network shows the impact of papers produced by Peter Sheffield. 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 Peter Sheffield. The network helps show where Peter Sheffield may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Sheffield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Overcoming Expression and Purification Problems of RhoGDI Using a Family of “Parallel” Expression Vectors Hit paper breakdown → | 1999 | 568 |
| 2 | 2001 | 158 | |
| 3 | 2003 | 139 | |
| 4 | 1999 | 126 | |
| 5 | 2001 | 100 | |
| 6 | 2001 | 26 | |
| 7 | 2002 | 26 | |
| 8 | 1999 | 26 | |
| 9 | 2000 | 24 | |
| 10 | 2000 | 19 | |
| 11 | 2001 | 17 | |
| 12 | 2000 | 11 | |
| 13 | 1998 | 7 | |
| 14 | 2008 | 6 | |
| 15 | 1996 | 6 | |
| 16 | 2019 | 5 | |
| 17 | Crystal structure of brefeldin A esterase, a bacterial homolog of the mammalian hormone-sensitive lipase. Nat Struct Biol 6: 340-345 | 1999 | 5 |
| 18 | 2023 | 4 | |
| 19 | 1999 | 4 | |
| 20 | 2023 | 3 |
About Peter Sheffield
Peter Sheffield is a scholar working on Public Administration, Aging, Biochemistry, Immunology and Allergy and Molecular Biology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (4 papers), Interprofessional Education and Collaboration (4 papers), Fungal and yeast genetics research (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers), Enzyme Catalysis and Immobilization (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Aging (40 citations), Cell Biology (293 citations), Molecular Biology (975 citations), Immunology and Allergy (48 citations) and Biochemistry (56 citations). Peter Sheffield has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Zygmunt S. Derewenda, Sarah Garrard, Ian G. Macara, Kenton L. Longenecker, Urszula Derewenda, Makoto Noda, Sitong Sheng, Carey J. Oliver, Zhifeng Shao and Makoto Kinoshita. Their work appears in journals such as Protein Engineering Design and Selection, BMJ Open, Journal of Biological Chemistry, Protein Expression and Purification and PLoS ONE.
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.