Campbell Liles

662 total citations
8 papers, 491 citations indexed

About

Campbell Liles is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Campbell Liles has authored 8 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Campbell Liles's work include Heart Rate Variability and Autonomic Control (4 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers) and Renin-Angiotensin System Studies (3 papers). Campbell Liles is often cited by papers focused on Heart Rate Variability and Autonomic Control (4 papers), Cardiovascular Syncope and Autonomic Disorders (4 papers) and Renin-Angiotensin System Studies (3 papers). Campbell Liles collaborates with scholars based in United States, Sweden and Canada. Campbell Liles's co-authors include Xichun Yu, David C. Kem, Hongliang Li, Madeleine W. Cunningham, Christopher E. Aston, Caitlin Zillner, Taylor A. Murphy, Satish R. Raj, Alexandria Benbrook and Sean Reim and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Hypertension and Journal of the American Heart Association.

In The Last Decade

Campbell Liles

8 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Campbell Liles United States	8	298	248	150	92	65	8	491
Caitlin Zillner United States	7	176 0.6×	162 0.7×	90 0.6×	57 0.6×	49 0.8×	8	320
Alexandria Benbrook United States	8	170 0.6×	150 0.6×	78 0.5×	52 0.6×	58 0.9×	8	322
Ahmad R. Abuzinadah Saudi Arabia	10	181 0.6×	142 0.6×	217 1.4×	133 1.4×	54 0.8×	39	524
Stacy M. Hines United States	6	238 0.8×	192 0.8×	106 0.7×	109 1.2×	26 0.4×	7	385
Jorge E Celedonio United States	10	171 0.6×	150 0.6×	63 0.4×	71 0.8×	41 0.6×	18	318
Sarah E. Berini United States	7	102 0.3×	145 0.6×	265 1.8×	47 0.5×	48 0.7×	27	405
Kristin Sophie Lange Germany	9	155 0.5×	89 0.4×	26 0.2×	70 0.8×	34 0.5×	27	448
Francesc Pujadas Spain	14	71 0.2×	44 0.2×	160 1.1×	95 1.0×	60 0.9×	31	446
C. M. C. van Campen United States	17	176 0.6×	280 1.1×	227 1.5×	46 0.5×	37 0.6×	45	694

Countries citing papers authored by Campbell Liles

Since Specialization

Citations

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

Fields of papers citing papers by Campbell Liles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Campbell Liles

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

All Works

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8 of 8 papers shown

Yu, Xichun, Hongliang Li, Taylor A. Murphy, et al.. (2018). Angiotensin II Type 1 Receptor Autoantibodies in Postural Tachycardia Syndrome. Journal of the American Heart Association. 7(8). 63 indexed citations

Fedorowski, Artur, Hongliang Li, Xichun Yu, et al.. (2016). Antiadrenergic autoimmunity in postural tachycardia syndrome. EP Europace. 19(7). 1211–1219. 103 indexed citations

Li, Hongliang, David C. Kem, Bing Huang, et al.. (2015). Novel Retro-Inverso Peptide Inhibitor Reverses Angiotensin Receptor Autoantibody–Induced Hypertension in the Rabbit. Hypertension. 65(4). 793–799. 22 indexed citations

Liles, Campbell, Hongliang Li, Taylor A. Murphy, et al.. (2015). AT2R Autoantibodies Block Angiotensin II and AT1R Autoantibody-Induced Vasoconstriction. Hypertension. 66(4). 830–835. 21 indexed citations

Li, Hongliang, Alexandria Benbrook, Campbell Liles, et al.. (2014). Activating autoantibodies to the β1/2-adrenergic and M2 muscarinic receptors associate with atrial tachyarrhythmias in patients with hyperthyroidism. Endocrine. 49(2). 457–463. 16 indexed citations

Kem, David C., Hongliang Li, Carolina Velarde‐Miranda, et al.. (2014). Autoimmune Mechanisms Activating the Angiotensin AT1 Receptor in 'Primary' Aldosteronism. The Journal of Clinical Endocrinology & Metabolism. 99(5). 1790–1797. 37 indexed citations

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

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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