David W. Moskowitz

1.0k total citations
22 papers, 806 citations indexed

About

David W. Moskowitz is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, David W. Moskowitz has authored 22 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Surgery. Recurrent topics in David W. Moskowitz's work include Renin-Angiotensin System Studies (5 papers), Ion Transport and Channel Regulation (4 papers) and Pancreatic function and diabetes (4 papers). David W. Moskowitz is often cited by papers focused on Renin-Angiotensin System Studies (5 papers), Ion Transport and Channel Regulation (4 papers) and Pancreatic function and diabetes (4 papers). David W. Moskowitz collaborates with scholars based in United States and Australia. David W. Moskowitz's co-authors include Keith A. Hruska, S. Westbrook, Mohinder P. Sambhi, J. Philip Miller, Sharon E. Carmody, H. Mitchell Perry, Gale H. Rutan, Jack Baty, Margaret Huskey and Roberto Civitelli and has published in prestigious journals such as Journal of Clinical Investigation, Hypertension and Journal of the American Society of Nephrology.

In The Last Decade

David W. Moskowitz

22 papers receiving 753 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David W. Moskowitz United States 12 346 255 222 126 106 22 806
Yihung Huang United States 14 242 0.7× 257 1.0× 106 0.5× 89 0.7× 98 0.9× 21 661
Ana Velić Germany 14 406 1.2× 271 1.1× 85 0.4× 51 0.4× 90 0.8× 15 722
Magdalena González Chile 11 203 0.6× 114 0.4× 142 0.6× 253 2.0× 74 0.7× 16 595
Sayaka Arakawa Japan 11 183 0.5× 148 0.6× 139 0.6× 77 0.6× 91 0.9× 36 731
Thiemo Pfab Germany 18 206 0.6× 88 0.3× 178 0.8× 143 1.1× 78 0.7× 42 976
Shoichi Tomono Japan 14 194 0.6× 138 0.5× 167 0.8× 213 1.7× 32 0.3× 41 686
Y Orita Japan 13 299 0.9× 153 0.6× 90 0.4× 45 0.4× 203 1.9× 35 685
Mizuko Osaka Japan 13 214 0.6× 174 0.7× 83 0.4× 91 0.7× 40 0.4× 23 688
Rakesh Verma India 12 312 0.9× 384 1.5× 80 0.4× 60 0.5× 38 0.4× 37 1.0k
Keita Hiragushi Japan 8 233 0.7× 105 0.4× 181 0.8× 117 0.9× 27 0.3× 11 689

Countries citing papers authored by David W. Moskowitz

Since Specialization
Citations

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

Fields of papers citing papers by David W. Moskowitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David W. Moskowitz

This figure shows the co-authorship network connecting the top 25 collaborators of David W. Moskowitz. A scholar is included among the top collaborators of David W. Moskowitz 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 W. Moskowitz. David W. Moskowitz 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.
Moskowitz, David W., Marcos A. Sanchez‐Gonzalez, Edmund R. Marinelli, & Kenneth Day. (2020). Quercetin for COVID19?. 4(2). 1 indexed citations
2.
Williams, R. Michael & David W. Moskowitz. (2007). The prevention of pain from sickle cell disease by trandolapril.. PubMed. 99(3). 276–8. 5 indexed citations
3.
Moskowitz, David W. & Frank Johnson. (2004). The Central Role of Angiotensin I-Converting Enzyme in Vertebrate Pathophysiology. Current Topics in Medicinal Chemistry. 4(13). 1431–1452. 21 indexed citations
4.
Moskowitz, David W.. (2003). Pathophysiologic Implications of Angiotensin I-Converting Enzyme as a Mechanosensor: Diabetes. Diabetes Technology & Therapeutics. 5(2). 189–199. 4 indexed citations
5.
Moskowitz, David W.. (2002). From Pharmacogenomics to Improved Patient Outcomes: Angiotensin I-Converting Enzyme as an Example. Diabetes Technology & Therapeutics. 4(4). 519–532. 16 indexed citations
6.
Moskowitz, David W.. (2002). Is Angiotensin I-Converting Enzyme a "Master" Disease Gene?. Diabetes Technology & Therapeutics. 4(5). 683–711. 18 indexed citations
7.
Moskowitz, David W.. (2002). Is "Somatic" Angiotensin I-Converting Enzyme a Mechanosensor?. Diabetes Technology & Therapeutics. 4(6). 841–858. 37 indexed citations
8.
Moskowitz, David W., et al.. (1996). Evidence for Acute Renal Cortical Vasoconstriction After Uninephrectomy. Renal Failure. 18(6). 833–846. 6 indexed citations
9.
Moskowitz, David W.. (1996). Hypertension, Thermotolerance, and the “African Gene”: An Hypothesis. Clinical and Experimental Hypertension. 18(1). 1–19. 28 indexed citations
10.
Moskowitz, David W.. (1996). Cambridge healthtech Institute's Second Annual Symposium: Genetic Screening and Diagnosis of Human diseases. Molecular Medicine Today. 2(7). 275–275. 3 indexed citations
11.
Perry, H. Mitchell, J. Philip Miller, Jack Baty, et al.. (1995). Early Predictors of 15-Year End-Stage Renal Disease in Hypertensive Patients. Hypertension. 25(4). 587–594. 266 indexed citations
12.
Moskowitz, David W., et al.. (1995). Epidermal Growth Factor Precursor Is Present in a Variety of Human Renal Cyst Fluids. The Journal of Urology. 153(3). 578–583. 23 indexed citations
13.
Moskowitz, David W. & Wei Liu. (1995). Gene Expression After Uninephrectomy in Rat: Simultaneous Expression of Positive and Negative Growth Control Elements. The Journal of Urology. 154(4). 1560–1565. 19 indexed citations
14.
Moskowitz, David W. & Wei Liu. (1995). Gene Expression After Uninephrectomy in Rat. The Journal of Urology. 1560–1565. 2 indexed citations
15.
Moskowitz, David W. & Keith A. Hruska. (1992). Ca2+ uptake by endoplasmic reticulum of renal cortex. II. Effects of uninephrectomy and parathyroidectomy. Calcified Tissue International. 51(1). 42–47. 4 indexed citations
16.
Moskowitz, David W., et al.. (1992). Effect of epidermal growth factor in the rat 5/6 renal ablation model.. Journal of the American Society of Nephrology. 3(5). 1113–1118. 10 indexed citations
17.
Moskowitz, David W. & Keith A. Hruska. (1992). Ca2+ uptake by endoplasmic reticulum of renal cortex. I. Ionic requirements and regulation in vitro. Calcified Tissue International. 51(1). 35–41. 3 indexed citations
18.
Moskowitz, David W.. (1992). Functional Obstructive Uropathy: A Significant Factor in the Hyponatremia of Psychogenic Polydipsia?. The Journal of Urology. 147(6). 1611–1613. 11 indexed citations
19.
Vehaskari, V. Matti, Kathleen S. Hering-Smith, David W. Moskowitz, I. David Weiner, & L. Lee Hamm. (1989). Effect of epidermal growth factor on sodium transport in the cortical collecting tubule. American Journal of Physiology-Renal Physiology. 256(5). F803–F809. 64 indexed citations
20.
Scoble, John E., David W. Moskowitz, & Keith A. Hruska. (1986). Dibutryladenosine 3’, 5’-Cyclic Monophosphate (dBcAMP) does not Mimic the Action of Parathyroid Hormone (PTH) on Canine Proximal Tubular Basolateral Membrane Na+:Ca2+. Advances in experimental medicine and biology. 208. 537–541. 3 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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