Peter N. Lowe
Impact in
- Cell Biology top 2%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Biochemistry top 2%
Papers in
- Biochemistry 12
- Biochemical Acid Research Studies 8
- Amino Acid Enzymes and Metabolism 7
- Cell Biology 18
- Microtubule and mitosis dynamics 6
- Co-authors
- Darerca OwenJohn F. EcclestonHelen R. MottRichard SkinnerR. BRIAN BEECHEYErnest D. LaueRichard N. PerhamAli Ryan
- Journals
- Biochemistry (13 papers)Biochemical Journal (12 papers)Journal of Biological Chemistry (11 papers)Biochemical Society Transactions (10 papers)Analytical Biochemistry (2 papers)
- Partner nations
- United KingdomNetherlandsTanzania
In The Last Decade
Peter N. Lowe
71 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Cell Biology 607
- Biochemistry 229
- Molecular Biology 1.9k
- Biophysics 87
- Clinical Biochemistry 91
Countries citing papers authored by Peter N. Lowe
This map shows the geographic impact of Peter N. Lowe'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 N. Lowe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter N. Lowe more than expected).
Fields of papers citing papers by Peter N. Lowe
This network shows the impact of papers produced by Peter N. Lowe. 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 N. Lowe. The network helps show where Peter N. Lowe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter N. Lowe, 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 | The evolution of disaster early warning systems in the TRIDEC project | 2013 | 0 |
| 2 | 2013 | 4 | |
| 3 | 2011 | 4 | |
| 4 | 2004 | 3 | |
| 5 | 2004 | 184 | |
| 6 | 2003 | 52 | |
| 7 | 2003 | 48 | |
| 8 | 2002 | 90 | |
| 9 | 2001 | 33 | |
| 10 | 2000 | 152 | |
| 11 | 1999 | 142 | |
| 12 | 1998 | 30 | |
| 13 | 1997 | 2 | |
| 14 | 1996 | 51 | |
| 15 | 1995 | 48 | |
| 16 | 1994 | 22 | |
| 17 | Cloning and characterisation of cDNAs encoding a novel non-receptor tyrosine kinase, brk, expressed in human breast tumours. | 1994 | 135 |
| 18 | 1993 | 35 | |
| 19 | 1992 | 4 | |
| 20 | 1987 | 6 |
About Peter N. Lowe
Peter N. Lowe is a scholar working on Biochemistry, Cell Biology, Clinical Biochemistry, Molecular Biology and Biophysics, having authored 73 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (21 papers), Protein Structure and Dynamics (8 papers), Biochemical Acid Research Studies (8 papers), Enzyme Structure and Function (8 papers), Amino Acid Enzymes and Metabolism (7 papers), Microtubule and mitosis dynamics (6 papers), Cancer-related Molecular Pathways (6 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Cell Biology (607 citations), Biochemistry (229 citations), Molecular Biology (1.9k citations), Biophysics (87 citations) and Clinical Biochemistry (91 citations). Peter N. Lowe has collaborated with scholars based in United Kingdom, Netherlands and Tanzania. Frequent co-authors include Darerca Owen, John F. Eccleston, Helen R. Mott, Richard Skinner, R. BRIAN BEECHEY, Ernest D. Laue, Richard N. Perham, Ali Ryan, Daniel Nietlispach and Norman M. Gray. Their work appears in journals such as Biochemistry, Biochemical Journal, Journal of Biological Chemistry, Biochemical Society Transactions and Analytical Biochemistry.
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.