Jeffrey Riesmeyer

7.6k total citations · 1 hit paper
9 papers, 4.5k citations indexed

About

Jeffrey Riesmeyer is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Jeffrey Riesmeyer has authored 9 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Cancer Research. Recurrent topics in Jeffrey Riesmeyer's work include Cancer, Lipids, and Metabolism (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). Jeffrey Riesmeyer is often cited by papers focused on Cancer, Lipids, and Metabolism (5 papers), Lipoproteins and Cardiovascular Health (5 papers) and Antiplatelet Therapy and Cardiovascular Diseases (5 papers). Jeffrey Riesmeyer collaborates with scholars based in United States, Australia and Italy. Jeffrey Riesmeyer's co-authors include Govinda J. Weerakkody, C. Michael Gibson, Gilles Montalescot, Eugene Braunwald, Carolyn H. McCabe, F.-J. Neumann, Witold Rużyłło, Shmuel Gottlieb, Stephen D. Wiviott and Stefano De Servi and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of the American College of Cardiology.

In The Last Decade

Jeffrey Riesmeyer

9 papers receiving 4.4k citations

Hit Papers

Prasugrel versus Clopidogrel in Patients with Acute Coron... 2007 2026 2013 2019 2007 1000 2.0k 3.0k 4.0k

Peers

Jeffrey Riesmeyer
Jeffrey Riesmeyer
Citations per year, relative to Jeffrey Riesmeyer Jeffrey Riesmeyer (= 1×) peers F.-J. Neumann

Countries citing papers authored by Jeffrey Riesmeyer

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Riesmeyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey Riesmeyer. 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 Jeffrey Riesmeyer. The network helps show where Jeffrey Riesmeyer may publish in the future.

Co-authorship network of co-authors of Jeffrey Riesmeyer

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

All Works

9 of 9 papers shown
1.
Menon, Venu, Anirudh Kumar, Divyang Patel, et al.. (2020). Effect of CETP inhibition with evacetrapib in patients with diabetes mellitus enrolled in the ACCELERATE trial. BMJ Open Diabetes Research & Care. 8(1). e000943–e000943. 19 indexed citations
2.
Puri, Rishi, Steven E. Nissen, Benoît Arsenault, et al.. (2019). C-REACTIVE PROTEIN LEVELS MODULATE LIPOPROTEIN(A)-ASSOCIATED CARDIOVASCULAR RISK IN OPTIMALLY-TREATED PATIENTS WITH HIGH-RISK VASCULAR DISEASE. Journal of the American College of Cardiology. 73(9). 1691–1691. 3 indexed citations
3.
Riesmeyer, Jeffrey, Giacomo Ruotolo, Govinda J. Weerakkody, et al.. (2018). Abstract 14025: Evacetrapib Alone or in Combination With Different Statin Doses Results in Differential Effect on Lipoproteins and MACE Rates: The ACCELERATE Trial. Circulation. 1 indexed citations
4.
Ruotolo, Giacomo, Michael Lincoff, Venu Menon, et al.. (2017). Abstract 17400: Lipoprotein(a) is a Determinant of Residual Cardiovascular Risk in the Setting of Optimal LDL-C in Statin-Treated Patients With Atherosclerotic Cardiovascular Disease. Circulation. 2 indexed citations
5.
Lincoff, A. Michael, et al.. (2017). Evacetrapib and Cardiovascular Outcomes in High-Risk Vascular Disease. Journal of Vascular Surgery. 66(4). 1302–1302. 4 indexed citations
6.
Nicholls, Stephen J., A. Michael Lincoff, Philip J. Barter, et al.. (2015). Assessment of the clinical effects of cholesteryl ester transfer protein inhibition with evacetrapib in patients at high-risk for vascular outcomes: Rationale and design of the ACCELERATE trial. American Heart Journal. 170(6). 1061–1069. 67 indexed citations
7.
Salazar, Daniel E., C. Steven Ernest, Rebecca E. Wrishko, et al.. (2008). Abstract 4001: Relationship between Exposure to the Prasugrel Active Metabolite with TIMI Major/Minor Bleeding in TRITON-TIMI 38. Circulation. 118(suppl_18). 4 indexed citations
8.
Wiviott, Stephen D., Eugene Braunwald, Carolyn H. McCabe, et al.. (2007). Prasugrel versus Clopidogrel in Patients with Acute Coronary Syndromes. New England Journal of Medicine. 357(20). 2001–2015. 4421 indexed citations breakdown →
9.
Wiviott, Stephen D., Eugene Braunwald, Carolyn H. McCabe, et al.. (2007). Prasugrel versus clopidogrel in patients with acute coronary syndromes: Commentary. Revista Portuguesa de Pneumologia. 26(11). 1297–1298. 2 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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