Timothy J. Vittorio

1.9k total citations
84 papers, 1.3k citations indexed

About

Timothy J. Vittorio is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Timothy J. Vittorio has authored 84 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Cardiology and Cardiovascular Medicine, 21 papers in Surgery and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Timothy J. Vittorio's work include Heart Failure Treatment and Management (25 papers), Cardiovascular Function and Risk Factors (19 papers) and Cardiovascular and exercise physiology (9 papers). Timothy J. Vittorio is often cited by papers focused on Heart Failure Treatment and Management (25 papers), Cardiovascular Function and Risk Factors (19 papers) and Cardiovascular and exercise physiology (9 papers). Timothy J. Vittorio collaborates with scholars based in United States, India and Grenada. Timothy J. Vittorio's co-authors include Constantine E. Kosmas, Raef Madanieh, Niel Shah, Hassan Alkhawam, Harsh Patel, P.C. Colombo, Ulrich P. Jorde, Marat Fudim, R. Zolty and Stamatios Lerakis and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Timothy J. Vittorio

76 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timothy J. Vittorio United States 20 642 311 154 151 145 84 1.3k
Alice Bonomi Italy 22 710 1.1× 248 0.8× 261 1.7× 152 1.0× 175 1.2× 117 1.5k
Jiří Pařenica Czechia 18 958 1.5× 224 0.7× 125 0.8× 86 0.6× 197 1.4× 110 1.4k
Robert Berent Austria 18 1.0k 1.6× 345 1.1× 223 1.4× 180 1.2× 122 0.8× 71 1.6k
Yong He China 19 632 1.0× 461 1.5× 177 1.1× 92 0.6× 179 1.2× 82 1.4k
Alan Maisel United States 24 1.2k 1.9× 289 0.9× 241 1.6× 76 0.5× 187 1.3× 41 1.6k
Amy Groenewegen Netherlands 7 890 1.4× 148 0.5× 132 0.9× 166 1.1× 131 0.9× 7 1.3k
Annik Fortier Canada 25 891 1.4× 692 2.2× 306 2.0× 89 0.6× 117 0.8× 76 1.7k
Peter Wohlfahrt Czechia 25 1.2k 1.9× 439 1.4× 248 1.6× 225 1.5× 272 1.9× 124 2.2k
Gurusher Panjrath United States 19 1.3k 2.1× 403 1.3× 178 1.2× 171 1.1× 90 0.6× 55 1.9k
Peter Moritz Becher Germany 9 1.4k 2.2× 212 0.7× 166 1.1× 214 1.4× 136 0.9× 11 1.9k

Countries citing papers authored by Timothy J. Vittorio

Since Specialization
Citations

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

Fields of papers citing papers by Timothy J. Vittorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy J. Vittorio. 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 Timothy J. Vittorio. The network helps show where Timothy J. Vittorio may publish in the future.

Co-authorship network of co-authors of Timothy J. Vittorio

This figure shows the co-authorship network connecting the top 25 collaborators of Timothy J. Vittorio. A scholar is included among the top collaborators of Timothy J. Vittorio 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 Timothy J. Vittorio. Timothy J. Vittorio 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.
Javed, Nismat, et al.. (2024). Associations of Patients with Pericardial Effusion Secondary toLight-Chain or Transthyretin Amyloidosis- A Systematic Review. Current Cardiology Reviews. 20(4). e080324227805–e080324227805. 1 indexed citations
2.
Javed, Nismat, et al.. (2024). Clinical markers in heart failure: a narrative review. Journal of International Medical Research. 52(5). 3649315258–3649315258.
3.
Javed, Nismat, et al.. (2023). The Role of Global Longitudinal Strain in Subclinical Hypothyroid Patients With Heart Failure. Cureus. 15(10). e46973–e46973. 2 indexed citations
4.
5.
6.
Balaram, Sandhya K., et al.. (2022). Post myocardial infarction left ventricular intramural dissecting hematoma: a case report describing a very rare complication. BMC Cardiovascular Disorders. 22(1). 83–83. 4 indexed citations
7.
Vittorio, Timothy J., et al.. (2021). Current treatment in COVID-19 disease: a rapid review. Drugs in Context. 10. 1–8. 45 indexed citations
8.
Shah, Niel, et al.. (2020). Galectin-3 and soluble ST2 as complementary tools to cardiac MRI for sudden cardiac death risk stratification in heart failure: A review. SHILAP Revista de lepidopterología. 9. 405467792–405467792. 9 indexed citations
9.
Alkhawam, Hassan, et al.. (2019). An update on the CardioMEMS pulmonary artery pressure sensor. Therapeutic Advances in Cardiovascular Disease. 13. 335224714–335224714. 21 indexed citations
10.
Alkhawam, Hassan, et al.. (2016). Serum vitamin D levels correlate to coronary artery disease severity: a retrospective chart analysis. Expert Review of Cardiovascular Therapy. 14(8). 977–982. 14 indexed citations
11.
Madanieh, Raef, et al.. (2015). A perspective on sympathetic renal denervation in chronic congestive heart failure. Heart Failure Reviews. 21(1). 1–10. 9 indexed citations
12.
Kosmas, Constantine E., et al.. (2014). High-Density Lipoprotein Functionality in Coronary Artery Disease. The American Journal of the Medical Sciences. 347(6). 504–508. 36 indexed citations
13.
Lanier, Gregg M., et al.. (2012). An Update on Diastolic Dysfunction. Cardiology in Review. 20(5). 230–236. 13 indexed citations
14.
Kosmas, Constantine E., et al.. (2012). Low‐Density Lipoprotein Levels in Patients With Acute Heart Failure. Congestive Heart Failure. 19(2). 85–91. 17 indexed citations
15.
Lanier, Gregg M., et al.. (2012). Simple prediction formula for peak oxygen consumption in patients with chronic heart failure. Journal of Exercise Science & Fitness. 10(1). 23–27. 4 indexed citations
16.
Kelesidis, Iosif, et al.. (2011). The Effect of Nesiritide on Renal Function and Other Clinical Parameters in Patients With Decompensated Heart Failure and Preserved Ejection Fraction. Congestive Heart Failure. 18(3). 158–164. 7 indexed citations
17.
Jorde, Ulrich P., P.C. Colombo, Alhakam Hudaihed, et al.. (2007). Exercise-Induced Increases in Oxidized Low-Density Lipoprotein Are Associated With Adverse Outcomes in Chronic Heart Failure. Journal of Cardiac Failure. 13(9). 759–764. 14 indexed citations
18.
Jorde, Ulrich P., Timothy J. Vittorio, Michael Kasper, et al.. (2007). Chronotropic Incompetence, Beta-Blockers, and Functional Capacity in Advanced Congestive Heart Failure: Time to Pace?. European Journal of Heart Failure. 10(1). 96–101. 61 indexed citations
19.
Fordyce, Marshall W., Monvadi B. Srichai, Mariela Losada, et al.. (2007). Giant Right Atrial Wall Vegetation Mimicking Cardiac Tumor. Journal of the American Society of Echocardiography. 20(11). 1315.e9–1315.e11. 6 indexed citations
20.
Hirsh, David S., Timothy J. Vittorio, Alhakam Hudaihed, et al.. (2006). Association of Heart Rate Recovery and Maximum Oxygen Consumption in Patients With Chronic Congestive Heart Failure. The Journal of Heart and Lung Transplantation. 25(8). 942–945. 12 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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