Pia S. Pollack

1.3k total citations · 1 hit paper
17 papers, 899 citations indexed

About

Pia S. Pollack is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Pia S. Pollack has authored 17 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 6 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Pia S. Pollack's work include Diabetes Treatment and Management (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). Pia S. Pollack is often cited by papers focused on Diabetes Treatment and Management (4 papers), Cardiovascular Function and Risk Factors (3 papers) and Cardiomyopathy and Myosin Studies (3 papers). Pia S. Pollack collaborates with scholars based in United States, Sweden and Canada. Pia S. Pollack's co-authors include Boaz Hirshberg, Eugene Braunwald, Benjamin M. Scirica, Jacob A. Udell, Philippe Gabríel Steg, Petr Jarolı́m, KyungAh Im, Matthew A. Cavender, Deepak L. Bhatt and Itamar Raz and has published in prestigious journals such as Circulation, CHEST Journal and The American Journal of Cardiology.

In The Last Decade

Pia S. Pollack

17 papers receiving 868 citations

Hit Papers

Heart Failure, Saxagliptin, and Diabetes Mellitus: Observ... 2014 2026 2018 2022 2014 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pia S. Pollack United States 11 567 409 321 187 117 17 899
Gary Pare United Kingdom 5 259 0.5× 214 0.5× 111 0.3× 118 0.6× 54 0.5× 6 743
Nina Wronkowitz Germany 7 385 0.7× 82 0.2× 188 0.6× 157 0.8× 297 2.5× 7 741
Minoru Takaoka Japan 16 71 0.1× 479 1.2× 249 0.8× 227 1.2× 46 0.4× 25 850
F. Di Gregorio Italy 13 143 0.3× 84 0.2× 133 0.4× 152 0.8× 45 0.4× 51 684
E Moscarelli Italy 15 185 0.3× 279 0.7× 71 0.2× 103 0.6× 115 1.0× 26 759
Min-Ji Charng Taiwan 11 72 0.1× 238 0.6× 609 1.9× 161 0.9× 49 0.4× 17 854
Toshie Saito United States 15 265 0.5× 433 1.1× 243 0.8× 89 0.5× 44 0.4× 22 969
Luigi Cavuto Italy 14 144 0.3× 413 1.0× 268 0.8× 257 1.4× 38 0.3× 14 902
Kay Herbrig Germany 14 101 0.2× 185 0.5× 421 1.3× 130 0.7× 136 1.2× 18 809
Naohiko Ohkubo Japan 8 248 0.4× 533 1.3× 287 0.9× 58 0.3× 25 0.2× 12 621

Countries citing papers authored by Pia S. Pollack

Since Specialization
Citations

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

Fields of papers citing papers by Pia S. Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia S. Pollack

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

All Works

17 of 17 papers shown
1.
Pollack, Pia S., David M. Smith, Martin Billger, et al.. (2017). Nonclinical and clinical pharmacology evidence for cardiovascular safety of saxagliptin. Cardiovascular Diabetology. 16(1). 113–113. 10 indexed citations
2.
Sjöstrand, Mikaela, Cheryl Wei, W. James Cook, et al.. (2017). Assessment of Saxagliptin Efficacy: Meta-Analysis of 14 Phase 2 and 3 Clinical Trials. Diabetes Therapy. 8(3). 587–599. 8 indexed citations
3.
Scirica, Benjamin M., Deepak L. Bhatt, Eugene Braunwald, et al.. (2016). Prognostic Implications of Biomarker Assessments in Patients With Type 2 Diabetes at High Cardiovascular Risk. JAMA Cardiology. 1(9). 989–989. 66 indexed citations
4.
Scirica, Benjamin M., Eugene Braunwald, Itamar Raz, et al.. (2014). Heart Failure, Saxagliptin, and Diabetes Mellitus: Observations from the SAVOR-TIMI 53 Randomized Trial. Circulation. 130(18). 1579–1588. 545 indexed citations breakdown →
5.
Pollack, Pia S., et al.. (2005). Pregnancy outcomes after maternal exposure to simvastatin and lovastatin. Birth Defects Research Part A Clinical and Molecular Teratology. 73(11). 888–896. 69 indexed citations
6.
Yang, Yingbo, Xiongwen Chen, Kenneth B. Margulies, et al.. (2000). L-Type Ca2+Channel α1cSubunit Isoform Switching in Failing Human Ventricular Myocardium. Journal of Molecular and Cellular Cardiology. 32(6). 973–984. 68 indexed citations
7.
Margulies, Kenneth B., et al.. (1999). Physiological significance of early deceleration time prolongation in asymptomatic elderly subjects. Journal of Cardiac Failure. 5(2). 92–99. 11 indexed citations
8.
Liu, Xing, et al.. (1997). Prediction of Homograft Aortic Valve Size by Transthoracic and Transesophageal Two‐Dimensional Echocardiography. Echocardiography. 14(4). 345–348. 11 indexed citations
9.
Pollack, Pia S., et al.. (1997). Differential expression of c-jun and junD in end-stage human cardiomyopathy. Journal of Cellular Biochemistry. 65(2). 245–253. 15 indexed citations
10.
Pollack, Pia S.. (1995). Proto-oncogenes and the Cardiovascular System. CHEST Journal. 107(3). 826–835. 14 indexed citations
11.
Pollack, Pia S., et al.. (1994). c‐myc Gene expression is localized to the myocyte following hemodynamic overload in vivo. Journal of Cellular Biochemistry. 54(1). 78–84. 15 indexed citations
12.
Georgeson, Steven, et al.. (1994). Endomyocardial biopsy under transesophageal echocardiographic guidance can be safely performed in the critically III cardiac transplant recipient. The American Journal of Cardiology. 73(13). 1019–1020. 4 indexed citations
13.
Pollack, Pia S., et al.. (1993). Progressive feline pressure-overload: noninvasive assessment correlates with abnormalities in single cells. American Journal of Physiology-Heart and Circulatory Physiology. 264(4). H1307–H1314. 10 indexed citations
14.
Pollack, Pia S., Nancy Carson, Hanne Nuss, Thomas A. Marino, & Steven R. Houser. (1991). Mechanical properties of adult feline ventricular myocytes in culture. American Journal of Physiology-Heart and Circulatory Physiology. 260(1). H234–H241. 16 indexed citations
15.
Hommel, Marc, et al.. (1987). Magnetic resonance imaging and the "one-and-a-half" syndrome: a case report.. PubMed. 7(3). 161–4. 4 indexed citations
16.
Pollack, Pia S., Ashwani Malhotra, Frederick S. Fein, & J. Scheuer. (1986). Effects of diabetes on cardiac contractile proteins in rabbits and reversal with insulin. American Journal of Physiology-Heart and Circulatory Physiology. 251(2). H448–H454. 23 indexed citations
17.
Naritomi, Hiroaki, Jerrold S. Meyer, V. D. Deshmukh, & Pia S. Pollack. (1977). Noninvasive measurement of regional cerebral blood flow in TIA's and stroke due to carotid and vertebrobasilar disease.. PubMed. 64. 474–5. 10 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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