Gus A. Wright

839 total citations
36 papers, 458 citations indexed

About

Gus A. Wright is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Gus A. Wright has authored 36 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Gus A. Wright's work include 3D Printing in Biomedical Research (4 papers), Nuclear Receptors and Signaling (4 papers) and Virus-based gene therapy research (3 papers). Gus A. Wright is often cited by papers focused on 3D Printing in Biomedical Research (4 papers), Nuclear Receptors and Signaling (4 papers) and Virus-based gene therapy research (3 papers). Gus A. Wright collaborates with scholars based in United States, Australia and Germany. Gus A. Wright's co-authors include Stephen Safe, Robert S. Chapkin, Zhilei Chen, Yang‐Yi Fan, Laurie A. Davidson, Evelyn Callaway, Kumaravel Mohankumar, Chris Janetopoulos, John P. Wikswo and Roger R. Draheim and has published in prestigious journals such as Environmental Science & Technology, The EMBO Journal and Biochemistry.

In The Last Decade

Gus A. Wright

35 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gus A. Wright United States 13 194 84 79 69 69 36 458
Héctor J. Monzó New Zealand 11 233 1.2× 44 0.5× 64 0.8× 63 0.9× 43 0.6× 18 579
Souâd Naimi France 11 266 1.4× 99 1.2× 32 0.4× 75 1.1× 52 0.8× 18 512
Yuehong Wu China 14 372 1.9× 63 0.8× 33 0.4× 77 1.1× 93 1.3× 35 653
Fatemeh Safari Iran 14 483 2.5× 89 1.1× 49 0.6× 64 0.9× 122 1.8× 35 757
Kei Hashimoto Japan 14 305 1.6× 40 0.5× 30 0.4× 49 0.7× 44 0.6× 34 599
Jina Park South Korea 13 308 1.6× 115 1.4× 127 1.6× 49 0.7× 32 0.5× 31 608
Kyoko Kikuchi Japan 15 221 1.1× 75 0.9× 121 1.5× 71 1.0× 70 1.0× 29 553

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-authorship network of co-authors of Gus A. Wright

This figure shows the co-authorship network connecting the top 25 collaborators of Gus A. Wright. A scholar is included among the top collaborators of Gus A. Wright based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gus A. Wright. Gus A. Wright is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sarkar, Mrinmoy, James Sampson, Yava Jones‐Hall, et al.. (2025). LILRB4 regulates circadian disruption-induced mammary tumorigenesis via non-canonical WNT signaling pathway. Oncogene. 44(46). 4491–4504. 1 indexed citations
2.
Kim, Da Mi, Quan Pan, Zeyu Liu, et al.. (2025). GHSR‐Foxo1 Signaling in Macrophages Promotes Liver Fibrosis via Inflammatory Response and Hepatic Stellate Cell Activation. Advanced Science. 12(33). e04223–e04223. 2 indexed citations
3.
Gonzalez, Drew E., Ryan Sowinski, Victoria Jenkins, et al.. (2024). Comparative Effectiveness of Ascorbic Acid vs. Calcium Ascorbate Ingestion on Pharmacokinetic Profiles and Immune Biomarkers in Healthy Adults: A Preliminary Study. Nutrients. 16(19). 3358–3358. 1 indexed citations
4.
Kim, Da Mi, et al.. (2024). Innate immunity in peripheral tissues is differentially impaired under normal and endotoxic conditions in aging. Frontiers in Immunology. 15. 1357444–1357444. 4 indexed citations
5.
Zhao, Jiayun, Gus A. Wright, Aline Rodrigues Hoffmann, et al.. (2023). Maternal exposure to ultrafine particles enhances influenza infection during pregnancy. Particle and Fibre Toxicology. 20(1). 11–11. 4 indexed citations
6.
Oezguen, Numan, Robert C. Burghardt, Gus A. Wright, et al.. (2023). Equine bronchial epithelial cells are susceptible to cell entry with a SARS-CoV-2 pseudovirus but reveal low replication efficiency. American Journal of Veterinary Research. 84(9). 1–11. 1 indexed citations
7.
Kim, Da Mi, Jong Han Lee, Quan Pan, et al.. (2023). Nutrient-sensing growth hormone secretagogue receptor in macrophage programming and meta-inflammation. Molecular Metabolism. 79. 101852–101852. 11 indexed citations
8.
Zhang, Lei, et al.. (2023). Piperlongumine is a ligand for the orphan nuclear receptor 4A1 (NR4A1). Frontiers in Pharmacology. 14. 1223153–1223153. 4 indexed citations
9.
Karki, Keshav, et al.. (2020). A Bis-Indole–Derived NR4A1 Antagonist Induces PD-L1 Degradation and Enhances Antitumor Immunity. Cancer Research. 80(5). 1011–1023. 32 indexed citations
10.
Davidson, Laurie A., Yang‐Yi Fan, Jennifer S. Goldsby, et al.. (2020). Loss of aryl hydrocarbon receptor potentiates FoxM1 signaling to enhance self‐renewal of colonic stem and progenitor cells. The EMBO Journal. 39(19). e104319–e104319. 33 indexed citations
11.
Karki, Keshav, et al.. (2020). Abstract B41: Bis-indole derived NR4A1 antagonist induces PD-L1 degradation and enhances antitumor immunity. Cancer Immunology Research. 8(3_Supplement). B41–B41.
12.
Wright, Gus A., et al.. (2018). A simple strategy for retargeting lentiviral vectors to desired cell types via a disulfide-bond-forming protein-peptide pair. Scientific Reports. 8(1). 10990–10990. 15 indexed citations
13.
Wilson‐Robles, Heather, Gwendolyn J. Levine, Roger Smith, et al.. (2017). Removal of hemangiosarcoma cells from canine blood with a cell salvage system and leukocyte reduction filter. Veterinary Surgery. 47(2). 293–301. 7 indexed citations
14.
Wright, Gus A., et al.. (2017). Culture of somatic cells isolated from frozen-thawed equine semen using fluorescence-assisted cell sorting. Animal Reproduction Science. 190. 10–17. 2 indexed citations
15.
Wright, Gus A., et al.. (2015). In vitro incorporation of a cell‐binding protein to a lentiviral vector using an engineered split intein enables targeted delivery of genetic cargo. Biotechnology and Bioengineering. 112(12). 2611–2617. 3 indexed citations
16.
Yan, Yingjun, Liwei Jiang, Karl J. Aufderheide, et al.. (2014). A Microfluidic-Enabled Mechanical Microcompressor for the Immobilization of Live Single- and Multi-Cellular Specimens. Microscopy and Microanalysis. 20(1). 141–151. 21 indexed citations
17.
Terekhov, Alexander, et al.. (2014). Intravital Microfluidic Windows for Delivery of Chemicals, Drugs and Probes. Microscopy and Microanalysis. 20(S3). 1352–1353. 2 indexed citations
18.
Wright, Gus A., et al.. (2012). On-Chip Open Microfluidic Devices for Chemotaxis Studies. Microscopy and Microanalysis. 18(4). 816–828. 14 indexed citations
19.
Wright, Gus A., et al.. (2010). Open access microfluidic device for the study of cell migration during chemotaxis. Integrative Biology. 2(11-12). 648–648. 29 indexed citations
20.
Malley, Linda A., T. W. Slone, Glenn S. Elliott, et al.. (1997). Repeated Dose Toxicity Study (28 Days) in Rats and Mice with N-Methylpyrrolidone (NMP). Drug and Chemical Toxicology. 20(1-2). 63–77. 33 indexed citations

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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