Evan Gallagher

520 total citations
17 papers, 381 citations indexed

About

Evan Gallagher is a scholar working on Molecular Biology, Biochemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Evan Gallagher has authored 17 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Biochemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Evan Gallagher's work include Glutathione Transferases and Polymorphisms (5 papers), Alzheimer's disease research and treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Evan Gallagher is often cited by papers focused on Glutathione Transferases and Polymorphisms (5 papers), Alzheimer's disease research and treatments (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). Evan Gallagher collaborates with scholars based in United States, Russia and United Kingdom. Evan Gallagher's co-authors include Richard T. Di Giulio, James L. Gardner, David L. Eaton, Timothy S. Gross, Bruce M. Hasspieler, Cheryl L. Morse, Victor W. Pike, Masahiro Fujita, Robert B. Innis and Sami S. Zoghbi and has published in prestigious journals such as Circulation, Biological Psychiatry and International Journal of Molecular Sciences.

In The Last Decade

Evan Gallagher

16 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evan Gallagher United States 11 161 124 64 51 40 17 381
S.B. Sainath India 15 237 1.5× 92 0.7× 40 0.6× 49 1.0× 108 2.7× 40 652
Lívea Fujita Barbosa Brazil 6 196 1.2× 199 1.6× 57 0.9× 35 0.7× 33 0.8× 7 603
Wei You China 12 150 0.9× 148 1.2× 71 1.1× 60 1.2× 14 0.3× 41 529
Janie S. Brooks United States 8 138 0.9× 207 1.7× 55 0.9× 113 2.2× 12 0.3× 12 621
Caren M. Villano United States 9 106 0.7× 175 1.4× 25 0.4× 16 0.3× 38 0.9× 9 552
Kaela Kelly United States 8 212 1.3× 113 0.9× 63 1.0× 71 1.4× 50 1.3× 10 537
Galen W. Miller United States 15 124 0.8× 173 1.4× 42 0.7× 25 0.5× 93 2.3× 19 530
Andrew Cowie Canada 11 95 0.6× 149 1.2× 33 0.5× 36 0.7× 20 0.5× 23 356
Mariana Leivas Müller Hoff Brazil 10 90 0.6× 96 0.8× 30 0.5× 20 0.4× 27 0.7× 17 351
Vincenzo Migliaccio Italy 14 118 0.7× 154 1.2× 52 0.8× 13 0.3× 14 0.3× 21 515

Countries citing papers authored by Evan Gallagher

Since Specialization
Citations

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

Fields of papers citing papers by Evan Gallagher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Evan Gallagher. 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 Evan Gallagher. The network helps show where Evan Gallagher may publish in the future.

Co-authorship network of co-authors of Evan Gallagher

This figure shows the co-authorship network connecting the top 25 collaborators of Evan Gallagher. A scholar is included among the top collaborators of Evan Gallagher 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 Evan Gallagher. Evan Gallagher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Gallagher, Evan, Shihong Li, Hsiaoju Lee, et al.. (2025). Noninvasive Detection of Oxidative Stress in a Mouse Model of 4R Tauopathy via Positron Emission Tomography with [18F]ROStrace. International Journal of Molecular Sciences. 26(5). 1845–1845.
2.
Gallagher, Evan, Catherine Hou, Yi Zhu, et al.. (2024). Positron Emission Tomography with [18F]ROStrace Reveals Progressive Elevations in Oxidative Stress in a Mouse Model of Alpha-Synucleinopathy. International Journal of Molecular Sciences. 25(9). 4943–4943. 5 indexed citations
3.
Thompson, Elizabeth, Brianna F. Moon, Giovanni Ferrari, et al.. (2023). Abstract 15814: Imaging Local and Systemic Reactive Oxygen Species After Ischemia-reperfusion Injury in Swine With Multimodal 18 F-ROStrace PET/CT and CMR. Circulation. 148(Suppl_1). 1 indexed citations
4.
Hsieh, Chia‐Ju, Catherine Hou, Yi Zhu, et al.. (2022). [18F]ROStrace detects oxidative stress in vivo and predicts progression of Alzheimer’s disease pathology in APP/PS1 mice. EJNMMI Research. 12(1). 43–43. 8 indexed citations
5.
Shrestha, Saurav, Prachi Singh, Cheryl L. Morse, et al.. (2018). Evaluation of Two Potent and Selective PET Radioligands to Image COX-1 and COX-2 in Rhesus Monkeys. Journal of Nuclear Medicine. 59(12). 1907–1912. 39 indexed citations
6.
Gallagher, Evan, Saurav Shrestha, Mark A. G. Eldridge, et al.. (2018). T80. Novel PET Radioligands Show That COX-2, but not COX-1, is Induced by Neuroinflammation in Rhesus Macaque. Biological Psychiatry. 83(9). S160–S160. 4 indexed citations
7.
Paul, Soumen, Evan Gallagher, Jeih-San Liow, et al.. (2018). Building a database for brain 18 kDa translocator protein imaged using [11C]PBR28 in healthy subjects. Journal of Cerebral Blood Flow & Metabolism. 39(6). 1138–1147. 17 indexed citations
8.
Gallagher, Evan, et al.. (2013). Effects of cadmium on olfactory mediated behaviors and molecular biomarkers in coho salmon (Oncorhynchus kisutch). Aquatic Toxicology. 140-141. 295–302. 34 indexed citations
9.
Gallagher, Evan, et al.. (2004). Effects of 17-β estradiol and 4-nonylphenol on phase II electrophilic detoxification pathways in largemouth bass (Micropterus salmoides) liver. Comparative Biochemistry and Physiology Part C Toxicology & Pharmacology. 137(3). 237–247. 36 indexed citations
10.
Gardner, James L., et al.. (2003). Ontogenic differences in human liver 4-hydroxynonenal detoxification are associated with in vitro injury to fetal hematopoietic stem cells. Toxicology and Applied Pharmacology. 191(2). 95–106. 6 indexed citations
11.
Gallagher, Evan, et al.. (2001). Decreased glutathione S-transferase expression and activity and altered sex steroids in Lake Apopka brown bullheads (Ameiurus nebulosus). Aquatic Toxicology. 55(3-4). 223–237. 41 indexed citations
12.
Gallagher, Evan. (2001). Effects of Phenytoin on Glutathione Status and Oxidative Stress Biomarker Gene mRNA Levels in Cultured Precision Human Liver Slices. Toxicological Sciences. 59(1). 118–126. 24 indexed citations
13.
Gardner, James L. & Evan Gallagher. (2001). Development of a Peptide Antibody Specific to Human Glutathione S-Transferase Alpha 4-4 (hGSTA4-4) Reveals Preferential Localization in Human Liver Mitochondria. Archives of Biochemistry and Biophysics. 390(1). 19–27. 40 indexed citations
14.
Gallagher, Evan & David L. Eaton. (1995). In Vitro Biotransformation of Aflatoxin B1 (AFB1) in Channel Catfish Liver. Toxicology and Applied Pharmacology. 132(1). 82–90. 37 indexed citations
15.
Gallagher, Evan & Richard T. Di Giulio. (1992). A comparison of glutathione-dependent enzymes in liver, gills and posterior kidney of channel catfish (ictalurus punctatus). Comparative Biochemistry and Physiology Part C Comparative Pharmacology. 102(3). 543–547. 43 indexed citations
16.
Gallagher, Evan, et al.. (1992). Effects of buthionine sulfoximine and diethyl maleate on glutathione turnover in the channel catfish. Biochemical Pharmacology. 43(10). 2209–2215. 29 indexed citations
17.

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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