Gus A. Wright

35 papers receiving 453 citations

Peers

Gus A. Wright
Comparison fields: 5 of 96
  • Immunology 69
  • Cell Biology 50
  • Genetics 84
  • Cellular and Molecular Neuroscience 54
  • Molecular Biology 194
Replace Héctor J. Monzó with:
Héctor J. Monzó New Zealand
Vesa Loitto Sweden
Kei Hashimoto Japan
Souâd Naimi France
Jung‐Hyun Na South Korea
Jina Park South Korea
Hilary MacQueen United Kingdom
Hannah Rickner United States
Q Liu United States
Gus A. Wright relative to Héctor J. Monzó New Zealand Héctor J. Monzó's profile →
Citations per field
00.5×1.5×1.9×
Héctor J. Monzó · 1×
Citations per year

Countries citing papers authored by Gus A. Wright

Since Specialization
Citations

This map shows the geographic impact of Gus A. Wright'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 Gus A. Wright with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gus A. Wright more than expected).

Fields of papers citing papers by Gus A. Wright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gus A. Wright. 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 Gus A. Wright. The network helps show where Gus A. Wright may publish in the future.

Co-authors

The 25 scholars most cited alongside Gus A. Wright, 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 Gus A. Wright Line = papers co-authored together Gus A. Wright links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201567
2 201738
3 202033
4 199733
5 202032
6 201230
7 201029
8 201023
9 201421
10 201920
11 201815
12 201214
13 202313
14 201112
15 202311
16 20228
17 20177
18 20087
19 20186
20 20225

About Gus A. Wright

Gus A. Wright is a scholar working on Molecular Biology, Genetics, Immunology, Biomedical Engineering and Cellular and Molecular Neuroscience, having authored 36 papers that have together received 458 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (4 papers), 3D Printing in Biomedical Research (4 papers), Macrophage Migration Inhibitory Factor (3 papers), Cancer Cells and Metastasis (3 papers), Virus-based gene therapy research (3 papers), FOXO transcription factor regulation (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Immunology (69 citations), Cell Biology (50 citations), Genetics (84 citations), Cellular and Molecular Neuroscience (54 citations) and Molecular Biology (194 citations). Gus A. Wright has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Stephen Safe, Robert S. Chapkin, Zhilei Chen, Laurie A. Davidson, Yang‐Yi Fan, Evelyn Callaway, Chris Janetopoulos, Kumaravel Mohankumar, Michael D. Manson and John P. Wikswo. Their work appears in journals such as Microscopy and Microanalysis, American Journal of Veterinary Research, Scientific Reports, Biotechnology and Bioengineering and Frontiers in Immunology.

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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