Alan Maisel

2.5k total citations
41 papers, 1.6k citations indexed

About

Alan Maisel is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, Alan Maisel has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Cardiology and Cardiovascular Medicine, 8 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Alan Maisel's work include Heart Failure Treatment and Management (20 papers), Cardiovascular Function and Risk Factors (12 papers) and Receptor Mechanisms and Signaling (5 papers). Alan Maisel is often cited by papers focused on Heart Failure Treatment and Management (20 papers), Cardiovascular Function and Risk Factors (12 papers) and Receptor Mechanisms and Signaling (5 papers). Alan Maisel collaborates with scholars based in United States, Italy and Netherlands. Alan Maisel's co-authors include Paul Clopton, Vikas Bhalla, Meenakshi Bhalla, Gary Green, David Guss, Mitchell Saltzberg, Robert L. Jesse, Peter A. McCullough, Judd E. Hollander and Richard M. Nowak and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and European Heart Journal.

In The Last Decade

Alan Maisel

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan Maisel United States 24 1.2k 289 241 187 149 41 1.6k
Peter Bruins Netherlands 16 747 0.6× 534 1.8× 155 0.6× 109 0.6× 108 0.7× 36 1.5k
Viorel G. Florea United States 21 1.6k 1.3× 284 1.0× 194 0.8× 167 0.9× 202 1.4× 38 2.1k
Annik Fortier Canada 25 891 0.7× 692 2.4× 306 1.3× 117 0.6× 196 1.3× 76 1.7k
Vincenzo De Santis Italy 15 421 0.4× 324 1.1× 264 1.1× 223 1.2× 113 0.8× 25 1.1k
Michael M. Hirschl Austria 25 887 0.7× 554 1.9× 208 0.9× 161 0.9× 66 0.4× 84 1.6k
Marc Klapholz United States 20 1.3k 1.1× 324 1.1× 305 1.3× 136 0.7× 180 1.2× 78 1.8k
Florence Beauvais France 16 1.2k 1.0× 195 0.7× 190 0.8× 132 0.7× 77 0.5× 40 1.4k
Payman Zamani United States 21 1.2k 1.0× 253 0.9× 173 0.7× 94 0.5× 112 0.8× 59 1.6k
Brigitte Stanek Austria 21 1.6k 1.4× 334 1.2× 339 1.4× 133 0.7× 161 1.1× 65 2.0k
Rоnen Beeri Israel 22 853 0.7× 580 2.0× 163 0.7× 444 2.4× 313 2.1× 82 1.9k

Countries citing papers authored by Alan Maisel

Since Specialization
Citations

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

Fields of papers citing papers by Alan Maisel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Maisel

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Maisel. A scholar is included among the top collaborators of Alan Maisel 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 Alan Maisel. Alan Maisel 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.
Horiuchi, Yu, Nicholas Wettersten, Christian Mueller, et al.. (2023). The Influence of Body Mass Index on Clinical Interpretation of Established and Novel Biomarkers in Acute Heart Failure. Journal of Cardiac Failure. 29(8). 1121–1131. 4 indexed citations
2.
Murphy, Sean, Margaret F. Prescott, Alan Maisel, et al.. (2021). ASSOCIATION BETWEEN ANGIOTENSIN RECEPTOR-NEPRILYSIN INHIBITION, CARDIOVASCULAR BIOMARKERS AND CARDIAC REMODELING IN HEART FAILURE WITH REDUCED EJECTION FRACTION. Journal of the American College of Cardiology. 77(18). 610–610.
3.
Aimo, Alberto, Paola Migliorini, Giuseppe Vergaro, et al.. (2018). The IL-33/ST2 pathway, inflammation and atherosclerosis: Trigger and target?. International Journal of Cardiology. 267. 188–192. 42 indexed citations
4.
Möckel, Martin, Julia Searle, & Alan Maisel. (2017). The Role of Procalcitonin in Acute Heart Failure Patients. ESC Heart Failure. 4(3). 203–208. 25 indexed citations
5.
Afşar, Barış, Patrick Rossignol, Loek van Heerebeek, et al.. (2017). Heart failure with preserved ejection fraction: a nephrologist-directed primer. Heart Failure Reviews. 22(6). 765–773. 16 indexed citations
6.
Tokman, Sofya, Christopher F. Barnett, Leah G. Jarlsberg, et al.. (2014). Procalcitonin predicts mortality in HIV‐infected U gandan adults with lower respiratory tract infections. Respirology. 19(3). 382–388. 11 indexed citations
7.
8.
Wiesner, Philipp, Maria Tafelmeier, Soo‐Ho Choi, et al.. (2013). MCP-1 binds to oxidized LDL and is carried by lipoprotein(a) in human plasma. Journal of Lipid Research. 54(7). 1877–1883. 78 indexed citations
9.
Somma, Salvatore Di, L. Magrini, Valerio Pittoni, et al.. (2010). In-hospital percentage BNP reduction is highly predictive for adverse events in patients admitted for acute heart failure: the Italian RED Study. Critical Care. 14(3). R116–R116. 56 indexed citations
10.
Betti, Irene, Gabriele Castelli, Alessandro Barchielli, et al.. (2009). The Role of N-terminal PRO-Brain Natriuretic Peptide and Echocardiography for Screening Asymptomatic Left Ventricular Dysfunction in a Population at High Risk for Heart Failure. The PROBE-HF Study. Journal of Cardiac Failure. 15(5). 377–384. 86 indexed citations
11.
Mak, Gary S., Anthony N. DeMaria, Paul Clopton, & Alan Maisel. (2005). Utility of B-natriuretic peptide in the evaluation of the left ventricular diastolic function: Comparison with tissue Doppler imaging recordings. ACC Current Journal Review. 14(4). 24–25. 10 indexed citations
12.
Maisel, Alan, Judd E. Hollander, David Guss, et al.. (2004). Primary results of the Rapid Emergency Department Heart Failure Outpatient Trial (REDHOT). Journal of the American College of Cardiology. 44(6). 1328–1333. 307 indexed citations
13.
Maisel, Alan. (2002). Algorithms for Using B-Type Natriuretic Peptide Levels in the Diagnosis and Management of Congestive Heart Failure. Critical Pathways in Cardiology A Journal of Evidence-Based Medicine. 1(2). 67–73. 8 indexed citations
14.
Maisel, Alan. (2001). B-TYPE NATRIURETIC PEPTIDE IN THE DIAGNOSIS AND MANAGEMENT OF CONGESTIVE HEART FAILURE. Cardiology Clinics. 19(4). 557–571. 45 indexed citations
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17.
Murray, David R., et al.. (1993). Prolonged Isoproterenol Treatment Alters Immunoregulatory Cell Traffic and Function in the Rat. Brain Behavior and Immunity. 7(1). 47–62. 15 indexed citations
18.
Maisel, Alan, David R. Murray, Martin Lotz, et al.. (1991). Propranolol treatment affects parameters of human immunity. Immunopharmacology. 22(3). 157–164. 24 indexed citations
19.
Michel, M. C., Alan Maisel, & O.‐E. Brodde. (1990). Mitigation of β1- and/or β2-adrenoceptor function in human heart failure. British Journal of Clinical Pharmacology. 30. 10 indexed citations
20.
Polikar, Ralf, Brian P. Kennedy, Alan Maisel, et al.. (1990). Decreased adrenergic sensitivity in patients with hypothyroidism. Journal of the American College of Cardiology. 15(1). 94–98. 27 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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