G Quash
Impact in
- Biochemistry top 2%
- Amino Acid Enzymes and Metabolism
-
- Polyamine Metabolism and Applications
- Glycosylation and Glycoproteins Research
- Protein purification and stability
Papers in
-
- Polyamine Metabolism and Applications 19
- Glycosylation and Glycoproteins Research 8
- Protein purification and stability 6
- Biochemistry 16
- Amino Acid Enzymes and Metabolism 11
- Co-authors
- A.M. Roch (16 shared papers)Guy Fournet (12 shared papers)Vincent Thomas (12 shared papers)Saı̈d El Alaoui (7 shared papers)Alain Niveleau (4 shared papers)Alain Doutheau (11 shared papers)J. Huppert (6 shared papers)J. GORÉ (11 shared papers)
- Journals
- Journal of Immunological Methods (6 papers)FEBS Letters (6 papers)Biochemical Journal (6 papers)Biochemical Pharmacology (4 papers)Archives of Virology (4 papers)
- Partner nations
- FranceUnited StatesJamaica
In The Last Decade
G Quash
81 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Biochemistry 210
- Molecular Biology 589
- Cancer Research 111
- Surfaces, Coatings and Films 44
- Biotechnology 50
Countries citing papers authored by G Quash
This map shows the geographic impact of G Quash'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 Quash with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G Quash more than expected).
Fields of papers citing papers by G Quash
This network shows the impact of papers produced by G Quash. 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 Quash. The network helps show where G Quash may publish in the future.
Co-authors
The 25 scholars most cited alongside G Quash, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 73 | |
| 2 | 1979 | 65 | |
| 3 | 2016 | 56 | |
| 4 | 1984 | 40 | |
| 5 | 1991 | 38 | |
| 6 | 1992 | 38 | |
| 7 | 1996 | 35 | |
| 8 | 1984 | 31 | |
| 9 | 1986 | 31 | |
| 10 | 2002 | 30 | |
| 11 | 1976 | 29 | |
| 12 | 2001 | 27 | |
| 13 | 1995 | 24 | |
| 14 | 1993 | 23 | |
| 15 | 2013 | 22 | |
| 16 | 2006 | 21 | |
| 17 | 1994 | 21 | |
| 18 | 2007 | 20 | |
| 19 | 1982 | 20 | |
| 20 | 2002 | 19 |
About G Quash
G Quash is a scholar working on Molecular Biology, Biochemistry, Epidemiology, Cell Biology and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (19 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Amino Acid Enzymes and Metabolism (11 papers), Glycosylation and Glycoproteins Research (8 papers), Cancer Research and Treatments (8 papers), Blood properties and coagulation (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Protein purification and stability (6 papers). The work is most often cited by research in Biochemistry (210 citations), Molecular Biology (589 citations), Cancer Research (111 citations), Surfaces, Coatings and Films (44 citations) and Biotechnology (50 citations). G Quash has collaborated with scholars based in France, United States and Jamaica. Frequent co-authors include A.M. Roch, Guy Fournet, Vincent Thomas, Saı̈d El Alaoui, Alain Niveleau, Alain Doutheau, J. Huppert, J. GORÉ, Louis Gazzolo and S Saez. Their work appears in journals such as Journal of Immunological Methods, FEBS Letters, Biochemical Journal, Biochemical Pharmacology and Archives of Virology.
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.