Sean Reim

490 total citations
9 papers, 364 citations indexed

About

Sean Reim is a scholar working on Neurology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Sean Reim has authored 9 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Surgery. Recurrent topics in Sean Reim's work include Autoimmune Neurological Disorders and Treatments (3 papers), Obsessive-Compulsive Spectrum Disorders (3 papers) and Cardiovascular Syncope and Autonomic Disorders (3 papers). Sean Reim is often cited by papers focused on Autoimmune Neurological Disorders and Treatments (3 papers), Obsessive-Compulsive Spectrum Disorders (3 papers) and Cardiovascular Syncope and Autonomic Disorders (3 papers). Sean Reim collaborates with scholars based in United States, Israel and Czechia. Sean Reim's co-authors include Madeleine W. Cunningham, David C. Kem, Hongliang Li, Michael A. Hill, Xichun Yu, Campbell Liles, Christopher E. Aston, Caitlin Zillner, Daniel M. Collier and Alexandria Benbrook and has published in prestigious journals such as The Journal of Immunology, Hypertension and Journal of Neuroimmunology.

In The Last Decade

Sean Reim

9 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sean Reim United States 6 169 151 141 76 61 9 364
Jill Brook United States 8 97 0.6× 115 0.8× 57 0.4× 37 0.5× 34 0.6× 14 268
Iain D. Croall United Kingdom 10 43 0.3× 126 0.8× 37 0.3× 11 0.1× 31 0.5× 16 461
Sarah Schulze-Rothe Germany 5 31 0.2× 180 1.2× 48 0.3× 35 0.5× 7 0.1× 7 279
Mariem Damak Tunisia 9 19 0.1× 138 0.9× 22 0.2× 29 0.4× 29 0.5× 49 277
Bing‐Fu Shih Taiwan 8 41 0.2× 72 0.5× 26 0.2× 231 3.0× 8 0.1× 22 478
Patrick Adjei Ghana 10 23 0.1× 243 1.6× 146 1.0× 12 0.2× 24 0.4× 27 607
Francesco Motolese Italy 12 16 0.1× 164 1.1× 37 0.3× 50 0.7× 11 0.2× 52 456
Zvonimir Vrselja Croatia 7 33 0.2× 68 0.5× 48 0.3× 14 0.2× 22 0.4× 10 357
Gabriella Melzi Italy 10 61 0.4× 154 1.0× 15 0.1× 17 0.2× 45 0.7× 12 357
Klaus Tjelle Kristiansen Denmark 7 121 0.7× 86 0.6× 19 0.1× 25 0.3× 12 0.2× 13 449

Countries citing papers authored by Sean Reim

Since Specialization
Citations

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

Fields of papers citing papers by Sean Reim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Reim

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

All Works

9 of 9 papers shown
1.
Zuccolo, Jonathan, Susan E. Swedo, Sean Reim, et al.. (2024). Dopamine receptor autoantibody signaling in infectious sequelae differentiates movement versus neuropsychiatric disorders. JCI Insight. 9(21). 1 indexed citations
2.
Fallon, Brian A., Barbara A. Strobino, Sean Reim, Julie A. Stoner, & Madeleine W. Cunningham. (2020). Anti-lysoganglioside and other anti-neuronal autoantibodies in post-treatment Lyme Disease and Erythema Migrans after repeat infection. Brain Behavior & Immunity - Health. 2. 100015–100015. 14 indexed citations
3.
Alvarez, Kathy, Sean Reim, Rebecca Bentley, et al.. (2020). Autoantibody Biomarkers for Basal Ganglia Encephalitis in Sydenham Chorea and Pediatric Autoimmune Neuropsychiatric Disorder Associated With Streptococcal Infections. Frontiers in Psychiatry. 11. 564–564. 41 indexed citations
5.
Cox, Carol J., Kathy Alvarez, Sean Reim, et al.. (2018). Anti-neuronal and anti-microbial immunity link CaMKII and autism spectrum disorder with pediatric acute-onset neuropsychiatric syndrome. The Journal of Immunology. 200(Supplement_1). 166.63–166.63. 3 indexed citations
6.
Myers, J. Martin, Kathy Alvarez, Sean Reim, et al.. (2018). Molecular mimicry and signaling by human monoclonal autoantibody derived from human myocarditis and heart failure may contribute to fibrosis and remodeling in cardiomyopathy. The Journal of Immunology. 200(Supplement_1). 166.49–166.49. 1 indexed citations
7.
Li, Hongliang, Xichun Yu, Campbell Liles, et al.. (2014). Autoimmune Basis for Postural Tachycardia Syndrome. Journal of the American Heart Association. 3(1). e000755–e000755. 187 indexed citations
8.
Yu, Xichun, Stavros Stavrakis, Michael A. Hill, et al.. (2012). Autoantibody activation of beta-adrenergic and muscarinic receptors contributes to an “autoimmune” orthostatic hypotension. Journal of the American Society of Hypertension. 6(1). 40–47. 41 indexed citations
9.
Li, Hongliang, David C. Kem, Sean Reim, et al.. (2012). Agonistic Autoantibodies as Vasodilators in Orthostatic Hypotension. Hypertension. 59(2). 402–408. 42 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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