Daniel G. Kramer

1.4k total citations · 1 hit paper
6 papers, 1.0k citations indexed

About

Daniel G. Kramer is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Clinical Psychology. According to data from OpenAlex, Daniel G. Kramer has authored 6 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 1 paper in Surgery and 1 paper in Clinical Psychology. Recurrent topics in Daniel G. Kramer's work include Cardiac pacing and defibrillation studies (2 papers), Heart Failure Treatment and Management (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Daniel G. Kramer is often cited by papers focused on Cardiac pacing and defibrillation studies (2 papers), Heart Failure Treatment and Management (2 papers) and Cardiovascular Function and Risk Factors (2 papers). Daniel G. Kramer collaborates with scholars based in United States. Daniel G. Kramer's co-authors include Marvin A. Konstam, James E. Udelson, Ayan R. Patel, Martin S. Maron, David M. Kent, Thomas A Trikalinos, Megan A. McCrory, Johanna Dwyer, Susan B. Roberts and Nancy C. Howarth and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Nutrition and JACC. Cardiovascular imaging.

In The Last Decade

Daniel G. Kramer

6 papers receiving 993 citations

Hit Papers

Left Ventricular Remodeling in Heart Failure 2011 2026 2016 2021 2011 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
Daniel G. Kramer United States 6 782 266 162 155 105 6 1.0k
Naritsugu Sakaino Japan 12 529 0.7× 207 0.8× 86 0.5× 220 1.4× 74 0.7× 28 860
S.A. Ahn Belgium 10 755 1.0× 246 0.9× 74 0.5× 66 0.4× 100 1.0× 15 905
Giulio Russo Italy 19 581 0.7× 315 1.2× 160 1.0× 204 1.3× 90 0.9× 62 949
Petr Toušek Czechia 14 653 0.8× 373 1.4× 174 1.1× 120 0.8× 69 0.7× 75 961
Doi Y Japan 18 553 0.7× 183 0.7× 92 0.6× 285 1.8× 46 0.4× 73 915
Kuo‐Li Pan Taiwan 16 635 0.8× 182 0.7× 130 0.8× 57 0.4× 57 0.5× 74 928
Debra Kinan United States 10 939 1.2× 239 0.9× 64 0.4× 96 0.6× 95 0.9× 10 1.0k
Hiroshige Yamabe Japan 21 872 1.1× 157 0.6× 65 0.4× 177 1.1× 51 0.5× 86 1.1k
Athanasios Trikas Greece 16 535 0.7× 137 0.5× 112 0.7× 102 0.7× 48 0.5× 50 782
Atsushi Hirohata Japan 15 509 0.7× 411 1.5× 82 0.5× 245 1.6× 57 0.5× 50 793

Countries citing papers authored by Daniel G. Kramer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel G. Kramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel G. Kramer. 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 Daniel G. Kramer. The network helps show where Daniel G. Kramer may publish in the future.

Co-authorship network of co-authors of Daniel G. Kramer

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

All Works

6 of 6 papers shown
1.
Konstam, Marvin A., Daniel G. Kramer, Ayan R. Patel, Martin S. Maron, & James E. Udelson. (2011). Left Ventricular Remodeling in Heart Failure. JACC. Cardiovascular imaging. 4(1). 98–108. 552 indexed citations breakdown →
2.
Wessler, Benjamin S., Daniel G. Kramer, Thomas A Trikalinos, et al.. (2011). Drug and Device Effects on Peak Oxygen Consumption, 6-Minute Walk Distance, and Natriuretic Peptides as Predictors of Therapeutic Effects on Mortality in Patients With Heart Failure and Reduced Ejection Fraction. Circulation Heart Failure. 4(5). 578–588. 38 indexed citations
3.
Kramer, Daniel G., et al.. (2010). Quantitative Evaluation of Drug or Device Effects on Ventricular Remodeling as Predictors of Therapeutic Effects on Mortality in Patients With Heart Failure and Reduced Ejection Fraction. Journal of the American College of Cardiology. 56(5). 392–406. 341 indexed citations
4.
Goldberg, Robert J., Daniel G. Kramer, Jorge Yarzebski, Darleen Lessard, & Joel M. Gore. (2008). Prehospital transport of patients with acute myocardial infarction: A community-wide perspective. Heart & Lung. 37(4). 266–274. 12 indexed citations
5.
Goldberg, Robert J., Daniel G. Kramer, Darleen Lessard, Jorge Yarzebski, & Joel M. Gore. (2007). Serum glucose levels and hospital outcomes in patients with acute myocardial infarction without prior diabetes: a community-wide perspective. Coronary Artery Disease. 18(2). 125–131. 15 indexed citations
6.
Howarth, Nancy C., Edward Saltzman, Megan A. McCrory, et al.. (2003). Fermentable and Nonfermentable Fiber Supplements Did Not Alter Hunger, Satiety or Body Weight in a Pilot Study of Men and Women Consuming Self-Selected Diets. Journal of Nutrition. 133(10). 3141–3144. 59 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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