Charlotte Pugh

1.5k total citations
16 papers, 1.2k citations indexed

About

Charlotte Pugh is a scholar working on Behavioral Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Charlotte Pugh has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Behavioral Neuroscience, 5 papers in Neurology and 4 papers in Cognitive Neuroscience. Recurrent topics in Charlotte Pugh's work include Stress Responses and Cortisol (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Tryptophan and brain disorders (3 papers). Charlotte Pugh is often cited by papers focused on Stress Responses and Cortisol (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and Tryptophan and brain disorders (3 papers). Charlotte Pugh collaborates with scholars based in United States, Australia and United Kingdom. Charlotte Pugh's co-authors include Jerry W. Rudy, Monika Fleshner, Linda R. Watkins, Steven F. Maier, Steven F. Maier, John D. Johnson, David E. Martin, L.R. Watkins, Kevin J. Tracey and Molly M. Deak and has published in prestigious journals such as Brain Research, Neuroscience & Biobehavioral Reviews and Psychological Medicine.

In The Last Decade

Charlotte Pugh

15 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte Pugh United States 12 496 456 297 232 186 16 1.2k
Steven F. Maier United States 12 479 1.0× 522 1.1× 236 0.8× 457 2.0× 201 1.1× 14 1.4k
Haley A. Vecchiarelli Canada 19 361 0.7× 269 0.6× 224 0.8× 396 1.7× 186 1.0× 41 1.3k
Michael Weber United States 20 780 1.6× 643 1.4× 696 2.3× 207 0.9× 228 1.2× 32 2.0k
S. Poggini Italy 12 324 0.7× 333 0.7× 412 1.4× 171 0.7× 113 0.6× 23 871
Elaine Setiawan Canada 15 444 0.9× 521 1.1× 727 2.4× 191 0.8× 102 0.5× 16 1.3k
Sinead M. Gibney Ireland 15 336 0.7× 577 1.3× 896 3.0× 270 1.2× 86 0.5× 22 1.6k
Anzela Niraula United States 13 655 1.3× 553 1.2× 629 2.1× 106 0.5× 64 0.3× 20 1.3k
Madeleine Hinwood Australia 11 879 1.8× 863 1.9× 898 3.0× 243 1.0× 94 0.5× 29 1.7k
Laura Miler Canada 13 444 0.9× 509 1.1× 786 2.6× 244 1.1× 102 0.5× 13 1.4k
P. Vivien Rekkas Canada 9 303 0.6× 433 0.9× 527 1.8× 126 0.5× 221 1.2× 14 1.1k

Countries citing papers authored by Charlotte Pugh

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Pugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charlotte Pugh

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

All Works

16 of 16 papers shown
1.
Pugh, Charlotte, Kyle B. Franke, Yiran Tan, et al.. (2023). Deep learning in the marking of medical student short answer question examinations: Student perceptions and pilot accuracy assessment. Focus on Health Professional Education A Multi-Professional Journal. 38–48. 4 indexed citations
2.
Varcin, Kandice J., Ashleigh Lin, Yael Perry, et al.. (2022). Occurrence of psychosis and bipolar disorder in adults with autism: A systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews. 134. 104543–104543. 28 indexed citations
3.
Freeman, Jacinta, Penelope Strauss, Sharynne Hamilton, et al.. (2022). They Told Me “This Isn’t a Hotel”: Young People’s Experiences and Perceptions of Care When Presenting to the Emergency Department with Suicide-Related Behaviour. International Journal of Environmental Research and Public Health. 19(3). 1377–1377. 15 indexed citations
4.
Finlay‐Jones, Amy, Penelope Strauss, Yael Perry, et al.. (2021). Group mindful self-compassion training to improve mental health outcomes for LGBTQIA+ young adults: Rationale and protocol for a randomised controlled trial. Contemporary Clinical Trials. 102. 106268–106268. 16 indexed citations
5.
Kloth, Nadine, Charlotte Pugh, & Gillian Rhodes. (2017). The contributions of temporal delay and face exposure to the decay of gaze direction aftereffects. Journal of Vision. 17(3). 5–5. 2 indexed citations
6.
Valmaggia, Lucia, Fern Day, Ceri Jones, et al.. (2014). Cannabis use and transition to psychosis in people at ultra-high risk. Psychological Medicine. 44(12). 2503–2512. 77 indexed citations
7.
Day, Fern, Charlotte Pugh, Lucia Valmaggia, et al.. (2009). A FURTHER EXPLORATION OF THE GENDER DIFFERENCES IN THE AGE OF ONSET OF SCHIZOPHRENIA. 35. 78–78. 1 indexed citations
8.
O’Connor, Kevin, Michael K. Hansen, Charlotte Pugh, et al.. (2003). Further characterization of high mobility group box 1 (HMGB1) as a proinflammatory cytokine: central nervous system effects. Cytokine. 24(6). 254–265. 110 indexed citations
9.
Pugh, Charlotte, Monika Fleshner, Linda R. Watkins, Steven F. Maier, & Jerry W. Rudy. (2001). The immune system and memory consolidation: a role for the cytokine IL-1β. Neuroscience & Biobehavioral Reviews. 25(1). 29–41. 263 indexed citations
10.
Pugh, Charlotte, John D. Johnson, David E. Martin, et al.. (2000). Human immunodeficiency virus-1 coat protein gp120 impairs contextual fear conditioning: a potential role in AIDS related learning and memory impairments. Brain Research. 861(1). 8–15. 66 indexed citations
11.
Pugh, Charlotte. (1999). Role of interleukin-1 beta in impairment of contextual fear conditioning caused by social isolation. Behavioural Brain Research. 106(1-2). 109–118. 199 indexed citations
12.
Rudy, Jerry W., et al.. (1999). Isolation reduces contextual but not auditory-cue fear conditioning: A role for endogenous opioids.. Behavioral Neuroscience. 113(2). 316–323. 25 indexed citations
13.
Pugh, Charlotte, et al.. (1998). Selective Effects of Peripheral Lipopolysaccharide Administration on Contextual and Auditory-Cue Fear Conditioning. Brain Behavior and Immunity. 12(3). 212–229. 245 indexed citations
14.
Rudy, Jerry W. & Charlotte Pugh. (1998). Time of conditioning selectively influences contextual fear conditioning: Further support for a multiple-memory systems view of fear conditioning.. Journal of Experimental Psychology Animal Behavior Processes. 24(3). 316–324. 26 indexed citations
15.
Pugh, Charlotte, Monika Fleshner, & Jerry W. Rudy. (1997). Type II Glucocorticoid Receptor Antagonists Impair Contextual but Not Auditory-Cue Fear Conditioning in Juvenile Rats. Neurobiology of Learning and Memory. 67(1). 75–79. 93 indexed citations
16.
Rudy, Jerry W. & Charlotte Pugh. (1996). Postconditioning scopolamine administration selectively influences generalized auditory-cue fear conditioning. Psychobiology. 24(4). 294–299. 1 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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