Landrew Sevel

400 total citations
23 papers, 269 citations indexed

About

Landrew Sevel is a scholar working on Cognitive Neuroscience, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Landrew Sevel has authored 23 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cognitive Neuroscience, 11 papers in Cardiology and Cardiovascular Medicine and 8 papers in Physiology. Recurrent topics in Landrew Sevel's work include Heart Rate Variability and Autonomic Control (11 papers), Functional Brain Connectivity Studies (9 papers) and Pain Mechanisms and Treatments (8 papers). Landrew Sevel is often cited by papers focused on Heart Rate Variability and Autonomic Control (11 papers), Functional Brain Connectivity Studies (9 papers) and Pain Mechanisms and Treatments (8 papers). Landrew Sevel collaborates with scholars based in United States. Landrew Sevel's co-authors include Janelle E. Letzen, Michael E. Robinson, Roland Staud, Jeff Boissoneault, Michael Robinson, Jason G. Craggs, Donald D. Price, Andrew O’Shea, Mark D. Bishop and Michael E. Robinson and has published in prestigious journals such as NeuroImage, Scientific Reports and Pain.

In The Last Decade

Landrew Sevel

21 papers receiving 267 citations

Peers

Landrew Sevel
Amanda Cook United States
Siân F. Worthen United Kingdom
Debbie L. Morton United Kingdom
John L. Gracely United States
M. Farmer United States
Ishtiaq Mawla United States
Taha Abdullah United States
Amanda Cook United States
Landrew Sevel
Citations per year, relative to Landrew Sevel Landrew Sevel (= 1×) peers Amanda Cook

Countries citing papers authored by Landrew Sevel

Since Specialization
Citations

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

Fields of papers citing papers by Landrew Sevel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Landrew Sevel

This figure shows the co-authorship network connecting the top 25 collaborators of Landrew Sevel. A scholar is included among the top collaborators of Landrew Sevel 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 Landrew Sevel. Landrew Sevel 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.
Li, Yiran, Jiaao Yu, Peter Kochunov, et al.. (2025). Chronic pain is associated with greater brain entropy in the prefrontal cortex. Journal of Pain. 32. 105421–105421. 1 indexed citations
2.
Sevel, Landrew, et al.. (2025). Insula under the influence: Alcohol‐induced changes in resting state functional connectivity. Alcohol Clinical and Experimental Research. 49(6). 1221–1232. 1 indexed citations
3.
4.
Sevel, Landrew, et al.. (2024). Divergent association between pain intensity and resting‐state fMRI ‐based brain entropy in different age groups. Journal of Neuroscience Research. 102(5). e25341–e25341. 3 indexed citations
6.
Sevel, Landrew, et al.. (2021). Associations of Regional and Network Functional Connectivity With Exercise-Induced Low Back Pain. Journal of Pain. 22(12). 1606–1616. 10 indexed citations
7.
Letzen, Janelle E., Jeff Boissoneault, Landrew Sevel, & Michael E. Robinson. (2019). Altered mesocorticolimbic functional connectivity in chronic low back pain patients at rest and following sad mood induction. Brain Imaging and Behavior. 14(4). 1118–1129. 14 indexed citations
8.
Sevel, Landrew, Jeff Boissoneault, Meryl Alappattu, Mark D. Bishop, & Michael Robinson. (2019). Training endogenous pain modulation: a preliminary investigation of neural adaptation following repeated exposure to clinically-relevant pain. Brain Imaging and Behavior. 14(3). 881–896. 15 indexed citations
9.
Sevel, Landrew, et al.. (2019). Self‐compassion in mindfulness‐based stress reduction: An examination of prediction and mediation of intervention effects. Stress and Health. 36(1). 88–96. 22 indexed citations
10.
Sevel, Landrew, Jeff Boissoneault, Janelle E. Letzen, Michael E. Robinson, & Roland Staud. (2018). Structural brain changes versus self-report: machine-learning classification of chronic fatigue syndrome patients. Experimental Brain Research. 236(8). 2245–2253. 9 indexed citations
11.
Boissoneault, Jeff, Landrew Sevel, Michael E. Robinson, & Roland Staud. (2017). Functional brain connectivity of remembered fatigue or happiness in healthy adults: Use of arterial spin labeling. Journal of Clinical and Experimental Neuropsychology. 40(3). 224–233. 9 indexed citations
12.
Boissoneault, Jeff, Landrew Sevel, Janelle E. Letzen, Michael Robinson, & Roland Staud. (2017). Biomarkers for Musculoskeletal Pain Conditions: Use of Brain Imaging and Machine Learning. Current Rheumatology Reports. 19(1). 5–5. 40 indexed citations
13.
Sevel, Landrew, Janelle E. Letzen, Roland Staud, & Michael E. Robinson. (2016). Interhemispheric Dorsolateral Prefrontal Cortex Connectivity is Associated with Individual Differences in Pain Sensitivity in Healthy Controls. Brain Connectivity. 6(5). 357–364. 43 indexed citations
14.
Sevel, Landrew, Janelle E. Letzen, Roland Staud, & Michael Robinson. (2016). (338) Interhemispheric Dorsolateral Prefrontal Cortex Connectivity: a study of individual differences in pain sensitivity in healthy controls. Journal of Pain. 17(4). S60–S60. 1 indexed citations
15.
Sevel, Landrew, Janelle E. Letzen, Jeff Boissoneault, et al.. (2016). (337) MRI based classification of chronic fatigue, fibromyalgia patients and healthy controls using machine learning algorithms: a comparison study. Journal of Pain. 17(4). S60–S60. 7 indexed citations
16.
Letzen, Janelle E., Jeff Boissoneault, Landrew Sevel, & Michael E. Robinson. (2015). Test-retest reliability of pain-related functional brain connectivity compared with pain self-report. Pain. 157(3). 546–551. 18 indexed citations
17.
Sevel, Landrew, Jason G. Craggs, Donald D. Price, Roland Staud, & Michael E. Robinson. (2015). Placebo Analgesia Enhances Descending Pain-Related Effective Connectivity: A Dynamic Causal Modeling Study of Endogenous Pain Modulation. Journal of Pain. 16(8). 760–768. 27 indexed citations
18.
Sevel, Landrew, Andrew O’Shea, Janelle E. Letzen, et al.. (2015). Effective connectivity predicts future placebo analgesic response: A dynamic causal modeling study of pain processing in healthy controls. NeuroImage. 110. 87–94. 21 indexed citations
20.
Letzen, Janelle E., Landrew Sevel, Charles W. Gay, et al.. (2014). Test-Retest Reliability of Pain-Related Brain Activity in Healthy Controls Undergoing Experimental Thermal Pain. Journal of Pain. 15(10). 1008–1014. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026