Trudy Pang

931 total citations
28 papers, 623 citations indexed

About

Trudy Pang is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Trudy Pang has authored 28 papers receiving a total of 623 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Psychiatry and Mental health, 12 papers in Cognitive Neuroscience and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Trudy Pang's work include Epilepsy research and treatment (17 papers), EEG and Brain-Computer Interfaces (12 papers) and Pharmacological Effects and Toxicity Studies (7 papers). Trudy Pang is often cited by papers focused on Epilepsy research and treatment (17 papers), EEG and Brain-Computer Interfaces (12 papers) and Pharmacological Effects and Toxicity Studies (7 papers). Trudy Pang collaborates with scholars based in United States, Netherlands and Belgium. Trudy Pang's co-authors include Steven C. Schachter, Richard L. Verrier, Bruce D. Nearing, Ramin Atefy, Volney Sheen, Lawrence J. Hirsch, Ali Shoeb, John Guttag, Susan T. Herman and Alexander Rotenberg and has published in prestigious journals such as Neurology, IEEE Transactions on Biomedical Engineering and Epilepsia.

In The Last Decade

Trudy Pang

27 papers receiving 601 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Trudy Pang United States 13 314 210 148 147 145 28 623
Harald Aurlien Norway 12 401 1.3× 491 2.3× 167 1.1× 176 1.2× 67 0.5× 24 864
Robert J. Lamberts Netherlands 14 564 1.8× 334 1.6× 233 1.6× 150 1.0× 238 1.6× 18 774
Mark H. Libenson United States 18 464 1.5× 145 0.7× 145 1.0× 367 2.5× 36 0.2× 33 795
Satyanarayana Gedela United States 17 414 1.3× 153 0.7× 141 1.0× 245 1.7× 36 0.2× 33 865
Amir Arain United States 21 521 1.7× 344 1.6× 210 1.4× 174 1.2× 67 0.5× 52 899
Keith Dombrowski United States 12 171 0.5× 178 0.8× 79 0.5× 78 0.5× 128 0.9× 24 543
Malin Maeder‐Ingvar Switzerland 15 346 1.1× 248 1.2× 131 0.9× 197 1.3× 32 0.2× 30 707
Derek J. Chong United States 11 376 1.2× 228 1.1× 152 1.0× 203 1.4× 28 0.2× 19 892
Derrick Chan Singapore 16 296 0.9× 185 0.9× 132 0.9× 174 1.2× 57 0.4× 51 751
Elisabeth Härtl Germany 17 175 0.6× 157 0.7× 104 0.7× 43 0.3× 118 0.8× 30 676

Countries citing papers authored by Trudy Pang

Since Specialization
Citations

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

Fields of papers citing papers by Trudy Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Trudy Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Trudy Pang. A scholar is included among the top collaborators of Trudy Pang 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 Trudy Pang. Trudy Pang 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.
Pang, Trudy, Richard L. Verrier, & Steven C. Schachter. (2024). Management recommendations to reduce cardiac risk in chronic epilepsy. Epilepsy & Behavior Reports. 29. 100738–100738. 4 indexed citations
2.
Dutton, Caryn, Sheila K. Mody, Laura E. Dodge, et al.. (2024). Depot medroxyprogesterone acetate concentrations in patients with and without the use of antiseizure medications. Contraception. 134. 110418–110418. 1 indexed citations
4.
Pang, Trudy, Bruce D. Nearing, Jonathan W. Waks, et al.. (2023). Individuals with chronic epilepsy have elevated P‐wave heterogeneity comparable to patients with atrial fibrillation. Epilepsia. 64(9). 2361–2372. 11 indexed citations
5.
Amorim, Edilberto, Wei‐Long Zheng, Jin Jing, et al.. (2023). Neurophysiology State Dynamics Underlying Acute Neurologic Recovery After Cardiac Arrest. Neurology. 101(9). e940–e952. 3 indexed citations
6.
Verrier, Richard L., Trudy Pang, Bruce D. Nearing, & Steven C. Schachter. (2022). The Epileptic Heart and the Case for Routine Use of the Electrocardiogram in Patients with Chronic Epilepsy. Neurologic Clinics. 40(4). 699–716. 4 indexed citations
7.
Pang, Trudy, Bruce D. Nearing, Steven C. Schachter, & Richard L. Verrier. (2022). Epileptic seizures and Epilepsy Monitoring Unit admission disclose latent cardiac electrical instability. Epilepsy & Behavior. 135. 108881–108881. 5 indexed citations
8.
Pang, Trudy, et al.. (2022). Breastfeeding recommendations for women taking anti-seizure medications. Epilepsy & Behavior. 136. 108769–108769. 5 indexed citations
9.
Pang, Trudy, Bruce D. Nearing, Richard L. Verrier, & Steven C. Schachter. (2022). T-wave heterogeneity crescendo in the surface EKG is superior to heart rate acceleration for seizure prediction. Epilepsy & Behavior. 130. 108670–108670. 8 indexed citations
10.
Rossi, Kyle C., Jonathan Gursky, Trudy Pang, & Mandip S. Dhamoon. (2021). Seizures and status epilepticus may be risk factor for cardiac arrhythmia or cardiac arrest across multiple time frames. Epilepsy & Behavior. 120. 107998–107998. 12 indexed citations
11.
Zheng, Wei‐Long, Edilberto Amorim, Jin Jing, et al.. (2021). Predicting neurological outcome in comatose patients after cardiac arrest with multiscale deep neural networks. Resuscitation. 169. 86–94. 19 indexed citations
12.
Verrier, Richard L., Trudy Pang, Bruce D. Nearing, & Steven C. Schachter. (2020). The Epileptic Heart: Concept and clinical evidence. Epilepsy & Behavior. 105. 106946–106946. 106 indexed citations
13.
Sutter, Raoul, Trudy Pang, & Peter W. Kaplan. (2017). EEG in Metabolic Disorders, Intoxications, and Epileptic Encephalopathies. Oxford University Press eBooks. 4 indexed citations
14.
Liu, Anli, Trudy Pang, Susan T. Herman, Álvaro Pascual‐Leone, & Alexander Rotenberg. (2013). Transcranial magnetic stimulation for refractory focal status epilepticus in the intensive care unit. Seizure. 22(10). 893–896. 36 indexed citations
15.
Pang, Trudy & Frank W. Drislane. (2012). Treatment of Nonconvulsive Status Epilepticus. Current Treatment Options in Neurology. 14(4). 307–321. 7 indexed citations
16.
Patel, Shyamal, et al.. (2009). Detecting epileptic seizures using wearable sensors. 1–2. 14 indexed citations
17.
Shoeb, Ali, Trudy Pang, John Guttag, & Steven C. Schachter. (2009). NON-INVASIVE COMPUTERIZED SYSTEM FOR AUTOMATICALLY INITIATING VAGUS NERVE STIMULATION FOLLOWING PATIENT-SPECIFIC DETECTION OF SEIZURES OR EPILEPTIFORM DISCHARGES. International Journal of Neural Systems. 19(3). 157–172. 73 indexed citations
18.
Hirsch, Lawrence J., et al.. (2008). Focal motor seizures induced by alerting stimuli in critically ill patients. Epilepsia. 49(6). 968–973. 31 indexed citations
19.
Pang, Trudy, Ramin Atefy, & Volney Sheen. (2008). Malformations of Cortical Development. The Neurologist. 14(3). 181–191. 114 indexed citations
20.
Pang, Trudy & Lawrence J. Hirsch. (2005). Treatment of convulsive and nonconvulsive status epilepticus. Current Treatment Options in Neurology. 7(4). 247–259. 29 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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