G Quash

1.3k citations
86 papers · 1.1k · h-index 20

Impact in

    • Amino Acid Enzymes and Metabolism
    • Polyamine Metabolism and Applications
    • Protein purification and stability
    • Glycosylation and Glycoproteins Research

Papers in

    • Polyamine Metabolism and Applications 19
    • Glycosylation and Glycoproteins Research 8
    • Protein purification and stability 6
    • Amino Acid Enzymes and Metabolism 11

G Quash

81 papers receiving 1.0k citations

Peers

G Quash
Comparison fields: 5 of 102
  • Biochemistry 215
  • Molecular Biology 604
  • Cancer Research 114
  • Surfaces, Coatings and Films 45
  • Biotechnology 51
Replace Helena Block with:
Helena Block Germany
Max E. Rafelson United States
Shinsei Gasa Japan
S Kishimoto Japan
A. Trouet Belgium
Bénédicte Martin France
Lanjun Guo United States
Frits H. Roerdink Netherlands
Daisuke Matsuda Japan
Jie Tang China
G Quash relative to Helena Block Germany Helena Block's profile →
Citations per field
00.5×4.1×
Helena Block · 1×
Citations per year

Countries citing papers authored by G Quash

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with G Quash Line = papers co-authored together G Quash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197873
2 197965
3 201654
4 198440
5 199138
6 199238
7 199635
8 198631
9 198431
10 200230
11 197629
12 200127
13 199524
14 199323
15 201322
16 199421
17 200720
18 198220
19 200219
20 199319

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), Cancer Research and Treatments (9 papers), Glycosylation and Glycoproteins Research (8 papers), Cancer, Hypoxia, and Metabolism (7 papers), Blood properties and coagulation (7 papers) and Protein purification and stability (6 papers). The work is most often cited by research in Biochemistry (215 citations), Molecular Biology (604 citations), Cancer Research (114 citations), Surfaces, Coatings and Films (45 citations) and Biotechnology (51 citations). G Quash has collaborated with scholars based in France, Jamaica and United States. 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, International Journal of Cancer 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.

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