David S. Weber

3.3k total citations · 1 hit paper
41 papers, 2.7k citations indexed

About

David S. Weber is a scholar working on Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, David S. Weber has authored 41 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Physiology, 13 papers in Molecular Biology and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in David S. Weber's work include Nitric Oxide and Endothelin Effects (13 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). David S. Weber is often cited by papers focused on Nitric Oxide and Endothelin Effects (13 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Protein Kinase Regulation and GTPase Signaling (5 papers). David S. Weber collaborates with scholars based in United States, Canada and Switzerland. David S. Weber's co-authors include Kathy K. Griendling, Petra Ročić, Yoshihiro Taniyama, Puvi Seshiah, Judy King, Mary I. Townsley, Wolfgang Liedtke, James C. Parker, Diego F. Alvarez and Julian H. Lombard and has published in prestigious journals such as Circulation, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

David S. Weber

41 papers receiving 2.6k citations

Hit Papers

align trajectories

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.

Angiotensin II Stimulation of NAD(P)H Oxidase Activity

2002 609 citations David S. Weber, Petra Ročić et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Weber United States	23	1.0k	958	551	476	414	41	2.7k
Robert M. Weisbrod United States	31	1.2k 1.2×	1.3k 1.3×	955 1.7×	348 0.7×	190 0.5×	48	3.1k
Ayako Makino United States	39	1.8k 1.8×	1.1k 1.1×	847 1.5×	339 0.7×	1.2k 2.8×	106	4.0k
Matthias Löhn Germany	21	1.7k 1.7×	808 0.8×	1.1k 2.0×	161 0.3×	206 0.5×	43	3.3k
Kitty Moores United Kingdom	23	1.3k 1.3×	467 0.5×	227 0.4×	693 1.5×	124 0.3×	34	3.0k
Catherine Pavoine France	29	1.5k 1.4×	527 0.6×	730 1.3×	303 0.6×	96 0.2×	58	2.9k
Ram V. Sharma United States	29	1.0k 1.0×	849 0.9×	1.1k 2.0×	445 0.9×	138 0.3×	55	3.0k
Kenneth L. Byron United States	34	2.0k 1.9×	472 0.5×	972 1.8×	165 0.3×	140 0.3×	65	2.9k
Naoki Makino Japan	34	1.2k 1.2×	773 0.8×	980 1.8×	226 0.5×	152 0.4×	130	3.0k
Ping Song China	35	1.7k 1.7×	695 0.7×	384 0.7×	448 0.9×	265 0.6×	94	3.6k
Yong-Xiao Wang United States	29	1.2k 1.2×	486 0.5×	566 1.0×	82 0.2×	313 0.8×	65	2.0k

Countries citing papers authored by David S. Weber

Since Specialization

Citations

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

Fields of papers citing papers by David S. Weber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David S. Weber. 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 David S. Weber. The network helps show where David S. Weber may publish in the future.

Co-authorship network of co-authors of David S. Weber

This figure shows the co-authorship network connecting the top 25 collaborators of David S. Weber. A scholar is included among the top collaborators of David S. Weber 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 David S. Weber. David S. Weber 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

Saito, Naoki, et al.. (2022). The Scattering Transform Network with Generalized Morse Wavelets and its Application to Music Genre Classification. 25–30. 1 indexed citations

Yuan, Zheliang, Hua Yang, Noeen Malik, et al.. (2019). Electrostatic Effects Accelerate Decatungstate-Catalyzed C–H Fluorination Using [¹⁸F]- and [¹⁹F]NFSI in Small Molecules and Peptide Mimics. ACS Catalysis. 9(9). 8276–8284. 36 indexed citations

Favreau, Peter F., et al.. (2019). Label‐free spectroscopic tissue characterization using fluorescence excitation‐scanning spectral imaging. Journal of Biophotonics. 13(2). e201900183–e201900183. 10 indexed citations

Weber, David S. & Jeffrey J. Warren. (2019). The interaction between methionine and two aromatic amino acids is an abundant and multifunctional motif in proteins. Archives of Biochemistry and Biophysics. 672. 108053–108053. 49 indexed citations

Weber, David S., et al.. (2019). Hyperspectral imaging fluorescence excitation scanning spectral characteristics of remodeled mouse arteries. PubMed. 10890. 94–94. 3 indexed citations

Weber, David S. & Jeffrey J. Warren. (2018). A survey of methionine-aromatic interaction geometries in the oxidoreductase class of enzymes: What could Met-aromatic interactions be doing near metal sites?. Journal of Inorganic Biochemistry. 186. 34–41. 10 indexed citations

Favreau, Peter F., et al.. (2016). Potential of Hyperspectral Imaging for Label‐free Tissue and Pathology Classification. The FASEB Journal. 30(S1). 5 indexed citations

Haines, Emily R., et al.. (2014). G-Protein βγ Subunit Dimers Modulate Kidney Repair after Ischemia-Reperfusion Injury in Rats. Molecular Pharmacology. 86(4). 369–377. 11 indexed citations

Ročić, Boris, Ariana Znaor, Petra Ročić, David S. Weber, & Marijana Vučić Lovrenčić. (2011). Comparison of antihyperglycemic effects of creatine and glibenclamide in type II diabetic patients. Wiener Medizinische Wochenschrift. 161(21-22). 519–523. 6 indexed citations

10.

Kim, David D., David Kleinman, Mary E. Gerritsen, et al.. (2010). Rapamycin Inhibits VEGF-Induced Microvascular HyperpermeabilityIn Vivo. Microcirculation. 17(2). 128–136. 15 indexed citations

11.

Miyahara, Takashige, Kazutoshi Hamanaka, David S. Weber, et al.. (2007). Cytosolic phospholipase A ₂ and arachidonic acid metabolites modulate ventilator-induced permeability increases in isolated mouse lungs. Journal of Applied Physiology. 104(2). 354–362. 16 indexed citations

12.

Adkison, Jarrod B., David S. Weber, Takashige Miyahara, et al.. (2006). Differential responses of pulmonary endothelial phenotypes to cyclical stretch. Microvascular Research. 71(3). 175–184. 17 indexed citations

13.

Parker, James C., Troy Stevens, Jason A. Randall, David S. Weber, & Judy King. (2006). Hydraulic conductance of pulmonary microvascular and macrovascular endothelial cell monolayers. American Journal of Physiology-Lung Cellular and Molecular Physiology. 291(1). L30–L37. 70 indexed citations

14.

Linder, A. Elizabeth, David S. Weber, Steven E. Whitesall, Louis G. D’Alecy, & R. Clinton Webb. (2005). Altered Vascular Reactivity in Mice Made Hypertensive by Nitric Oxide Synthase Inhibition. Journal of Cardiovascular Pharmacology. 46(4). 438–444. 23 indexed citations

15.

Dikalova, Anna, Roza E. Clempus, Bernard Lassègue, et al.. (2005). Nox1 Overexpression Potentiates Angiotensin II-Induced Hypertension and Vascular Smooth Muscle Hypertrophy in Transgenic Mice. Circulation. 112(17). 2668–2676. 347 indexed citations

16.

Weber, David S., Petra Ročić, Karine Laude, et al.. (2004). Angiotensin II-induced hypertrophy is potentiated in mice overexpressing p22^phox in vascular smooth muscle. American Journal of Physiology-Heart and Circulatory Physiology. 288(1). H37–H42. 88 indexed citations

17.

Laude, Karine, Hua Cai, Bruno Fink, et al.. (2004). Hemodynamic and biochemical adaptations to vascular smooth muscle overexpression of p22^phox in mice. American Journal of Physiology-Heart and Circulatory Physiology. 288(1). H7–H12. 72 indexed citations

18.

Taniyama, Yoshihiro, Masuko Ushio‐Fukai, Hirofumi Hitomi, et al.. (2004). Role of p38 MAPK and MAPKAPK-2 in angiotensin II-induced Akt activation in vascular smooth muscle cells. American Journal of Physiology-Cell Physiology. 287(2). C494–C499. 103 indexed citations

19.

Weber, David S. & Kathy K. Griendling. (2003). The Yin/Yang of superoxide dismutase mimetics: potential cardiovascular therapies?. British Journal of Pharmacology. 139(6). 1059–1060. 6 indexed citations

20.

Chitaley, Kanchan, David S. Weber, & R. Clinton Webb. (2001). RhoA/Rho-kinase, vascular changes, and hypertension. Current Hypertension Reports. 3(2). 139–144. 62 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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