Robert N. Willette

10.6k total citations · 1 hit paper
132 papers, 7.5k citations indexed

About

Robert N. Willette is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Robert N. Willette has authored 132 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 39 papers in Cardiology and Cardiovascular Medicine and 35 papers in Physiology. Recurrent topics in Robert N. Willette's work include Neuroscience of respiration and sleep (22 papers), Nitric Oxide and Endothelin Effects (20 papers) and Neuropeptides and Animal Physiology (14 papers). Robert N. Willette is often cited by papers focused on Neuroscience of respiration and sleep (22 papers), Nitric Oxide and Endothelin Effects (20 papers) and Neuropeptides and Animal Physiology (14 papers). Robert N. Willette collaborates with scholars based in United States, United Kingdom and Australia. Robert N. Willette's co-authors include Hreday N. Sapru, Abbott J. Krieger, Frank C. Barone, G Feuerstein, Paul G. Lysko, Eliot H. Ohlstein, Susan Punnen, Charles F. Sauermelch, Ray F. White and Paul Ernsberger and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and PLoS ONE.

In The Last Decade

Robert N. Willette

131 papers receiving 7.3k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Tumor Necrosis Factor-α

1997 748 citations Frank C. Barone, Robert N. Willette et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Robert N. Willette	2.9k	1.8k	1.6k	1.3k	1.1k	132	7.5k
David W. Busija	2.8k 1.0×	1.0k 0.6×	1.9k 1.2×	2.8k 2.2×	605 0.6×	264	9.0k
Colin Sumners	4.7k 1.6×	5.3k 3.0×	2.2k 1.4×	1.3k 1.0×	822 0.8×	281	10.4k
Robin L. Davisson	2.6k 0.9×	3.6k 2.0×	620 0.4×	1.9k 1.5×	779 0.7×	117	8.1k
Jean‐Marie Boeynaems	2.8k 1.0×	911 0.5×	869 0.5×	1.1k 0.9×	536 0.5×	131	7.4k
Gary A. Weisman	3.7k 1.3×	614 0.3×	1.4k 0.9×	1.8k 1.4×	618 0.6×	159	9.6k
G Feuerstein	3.2k 1.1×	1.5k 0.8×	2.2k 1.3×	1.7k 1.3×	586 0.6×	178	9.5k
Yoshitoshi Kasuya	3.9k 1.4×	2.5k 1.4×	1.3k 0.8×	4.4k 3.4×	792 0.7×	174	9.3k
Juan M. Saavedra	3.1k 1.1×	4.1k 2.3×	1.6k 1.0×	864 0.7×	494 0.5×	188	8.1k
Pramod R. Saxena	2.3k 0.8×	2.6k 1.5×	1.6k 1.0×	2.6k 2.0×	693 0.7×	220	8.3k
Vera Ralevic	1.3k 0.5×	1.2k 0.7×	1.0k 0.6×	1.8k 1.4×	755 0.7×	129	6.0k

Countries citing papers authored by Robert N. Willette

Since Specialization

Citations

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

Fields of papers citing papers by Robert N. Willette

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert N. Willette. 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 Robert N. Willette. The network helps show where Robert N. Willette may publish in the future.

Co-authorship network of co-authors of Robert N. Willette

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

All Works

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20 of 20 papers shown

Savira, Feby, Longxing Cao, Ian Wang, et al.. (2017). Apoptosis signal-regulating kinase 1 inhibition attenuates cardiac hypertrophy and cardiorenal fibrosis induced by uremic toxins: Implications for cardiorenal syndrome. PLoS ONE. 12(11). e0187459–e0187459. 29 indexed citations

Seo, Kinya, Peter P. Rainer, Virginia S. Hahn, et al.. (2014). Combined TRPC3 and TRPC6 blockade by selective small-molecule or genetic deletion inhibits pathological cardiac hypertrophy. Proceedings of the National Academy of Sciences. 111(4). 1551–1556. 160 indexed citations

Auger‐Messier, Mannix, Federica Accornero, Sanjeewa A. Goonasekera, et al.. (2012). Unrestrained p38 MAPK Activation in Dusp1/4 Double-Null Mice Induces Cardiomyopathy. Circulation Research. 112(1). 48–56. 80 indexed citations

Elkhawad, Maysoon, James H.F. Rudd, Lea Sarov‐Blat, et al.. (2012). Effects of p38 Mitogen-Activated Protein Kinase Inhibition on Vascular and Systemic Inflammation in Patients With Atherosclerosis. JACC. Cardiovascular imaging. 5(9). 911–922. 115 indexed citations

Morgan, Lisa, Alan R. Olzinski, John J. Upson, et al.. (2012). Soluble Epoxide Hydrolase Inhibition Does Not Prevent Cardiac Remodeling and Dysfunction After Aortic Constriction in Rats and Mice. Journal of Cardiovascular Pharmacology. 61(4). 291–301. 22 indexed citations

Wang, Bing H., et al.. (2011). Abstract 12344: Apoptosis Signal-Regulating Kinase 1 Inhibition Attenuates Cardiac Myocyte Hypertrophy and Fibroblast Collagen Synthesis Stimulated by Angiotensin II- and TGFβ: Therapeutic Potential of ASK1 Inhibitors in Myocardial Remodelling. Circulation. 124. 2 indexed citations

Elkhawad, Maysoon, Lea Sarov‐Blat, Michael Marber, et al.. (2010). Inhibition of p38 Mitogen-Activated Protein Kinase Attenuates Vascular and Systemic Inflammation in Patients with Atherosclerosis as Assessed by 18-F Fluorodeoxyglucose PET-CT. Circulation. 122(4). 211–20. 3 indexed citations

Bao, Weike, Pu Qin, Saul Needle, et al.. (2010). Chronic Inhibition of Hypoxia-inducible Factor Prolyl 4-hydroxylase Improves Ventricular Performance, Remodeling, and Vascularity After Myocardial Infarction in the Rat. Journal of Cardiovascular Pharmacology. 56(2). 147–155. 88 indexed citations

Willette, Robert N., Marianne Eybye, Alan R. Olzinski, et al.. (2009). Differential Effects of p38 Mitogen-Activated Protein Kinase and Cyclooxygenase 2 Inhibitors in a Model of Cardiovascular Disease. Journal of Pharmacology and Experimental Therapeutics. 330(3). 964–970. 37 indexed citations

10.

Ghatta, Srinivas, Irina M. Lozinskaya, Zuojun Lin, et al.. (2007). Acetic acid opens large-conductance Ca2+-activated K+ channels in guinea pig detrusor smooth muscle cells. European Journal of Pharmacology. 563(1-3). 203–208. 10 indexed citations

11.

Behm, David J., Gerald P. Stankus, Christopher Doe, et al.. (2006). The peptidic urotensin‐II receptor ligand GSK248451 possesses less intrinsic activity than the low‐efficacy partial agonists SB‐710411 and urantide in native mammalian tissues and recombinant cell systems. British Journal of Pharmacology. 148(2). 173–190. 32 indexed citations

12.

Olzinski, Alan R., Tom C. Hu, Stephen C. Lenhard, et al.. (2005). Differential uptake of ferumoxtran‐10 and ferumoxytol, ultrasmall superparamagnetic iron oxide contrast agents in rabbit: Critical determinants of atherosclerotic plaque labeling. Journal of Magnetic Resonance Imaging. 21(4). 432–442. 87 indexed citations

13.

Toomey, John R., James M. Samanen, Richard E. Valocik, et al.. (2002). The Antithrombotic Efficacy of Lotrafiban (SB 214857) in Canine Models of Acute Coronary Thrombosis. PubMed. 2(1). 13–25. 5 indexed citations

14.

Wang, Xinkang, Xiang Li, R. William Currie, et al.. (2000). Application of real-time polymerase chain reaction to quantitate induced expression of interleukin-1? mRNA in ischemic brain tolerance. Journal of Neuroscience Research. 59(2). 238–246. 68 indexed citations

15.

Willette, Robert N., et al.. (1999). BMP-2 Gene Expression and Effects on Human Vascular Smooth Muscle Cells. Journal of Vascular Research. 36(2). 120–125. 110 indexed citations

16.

Willette, Robert N., et al.. (1987). Activation of cholinergic mechanisms in the medulla oblongata reverse intravenous opioid-induced respiratory depression.. Journal of Pharmacology and Experimental Therapeutics. 240(1). 352–358. 37 indexed citations

17.

Willette, Robert N., et al.. (1984). Endogenous GABAergic mechanisms in the medulla and the regulation of blood pressure.. Journal of Pharmacology and Experimental Therapeutics. 230(1). 34–39. 82 indexed citations

18.

Willette, Robert N., Susan Punnen, Abbott J. Krieger, & Hreday N. Sapru. (1984). Cardiovascular control by cholinergic mechanisms in the rostral ventrolateral medulla.. Journal of Pharmacology and Experimental Therapeutics. 231(2). 457–463. 70 indexed citations

19.

Willette, Robert N., et al.. (1983). Medullary gamma-aminobutyric acid (GABA) receptors and the regulation of blood pressure in the rat.. Journal of Pharmacology and Experimental Therapeutics. 226(3). 893–899. 135 indexed citations

20.

Willette, Robert N.. (1970). Analgetic Drugs—A Re-evaluation. American Journal of Pharmaceutical Education. 34(4). 662–672. 1 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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