G Pratt
Impact in
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Ubiquitin and proteasome pathways 4
- RNA modifications and cancer 3
- Cancer-related gene regulation 2
- Oncology 5
- Peptidase Inhibition and Analysis 5
- Co-authors
- Martin Rechsteiner (14 shared papers)R Hough (3 shared papers)Wolfgang Dubiel (3 shared papers)Katherine Ferrell (3 shared papers)Laura Hoffman (2 shared papers)Claudio Realini (2 shared papers)Vicença Ustrell (2 shared papers)Pius Loetscher (1 shared paper)
- Journals
- Journal of Biological Chemistry (11 papers)FEBS Letters (2 papers)Proceedings of the National Academy of Sciences (1 paper)Biochemical Journal (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
G Pratt
15 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 79
- Cell Biology 511
- Molecular Biology 1.7k
- Oncology 575
- Immunology 272
- Parasitology 68
Countries citing papers authored by G Pratt
This map shows the geographic impact of G Pratt'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 G Pratt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Pratt more than expected).
Fields of papers citing papers by G Pratt
This network shows the impact of papers produced by G Pratt. 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 G Pratt. The network helps show where G Pratt may publish in the future.
Co-authors
The 12 scholars most cited alongside G Pratt, 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 | 1987 | 472 | |
| 2 | 1992 | 324 | |
| 3 | 1986 | 217 | |
| 4 | 1992 | 205 | |
| 5 | 1992 | 158 | |
| 6 | 1994 | 148 | |
| 7 | 1991 | 89 | |
| 8 | 1995 | 72 | |
| 9 | 1990 | 62 | |
| 10 | 1995 | 35 | |
| 11 | 1996 | 26 | |
| 12 | 1989 | 18 | |
| 13 | 1989 | 17 | |
| 14 | 1983 | 9 | |
| 15 | 1991 | 8 |
About G Pratt
G Pratt is a scholar working on Molecular Biology, Oncology, Cell Biology, Biochemistry and Radiology, Nuclear Medicine and Imaging, having authored 15 papers that have together received 1.9k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Glycosylation and Glycoproteins Research (4 papers), Ubiquitin and proteasome pathways (4 papers), RNA modifications and cancer (3 papers), Cancer-related gene regulation (2 papers), Enzyme Structure and Function (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cell Biology (511 citations), Molecular Biology (1.7k citations), Oncology (575 citations), Immunology (272 citations) and Parasitology (68 citations). G Pratt has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Martin Rechsteiner, R Hough, Wolfgang Dubiel, Katherine Ferrell, Laura Hoffman, Claudio Realini, Vicença Ustrell, Pius Loetscher, Xianqiang Li and Philip Coffino. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Proceedings of the National Academy of Sciences and Biochemical Journal.
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.