Meredith Todd

1.2k total citations
7 papers, 247 citations indexed

About

Meredith Todd is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Infectious Diseases. According to data from OpenAlex, Meredith Todd has authored 7 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 5 papers in Surgery and 1 paper in Infectious Diseases. Recurrent topics in Meredith Todd's work include Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Acute Myocardial Infarction Research (6 papers) and Coronary Interventions and Diagnostics (5 papers). Meredith Todd is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Acute Myocardial Infarction Research (6 papers) and Coronary Interventions and Diagnostics (5 papers). Meredith Todd collaborates with scholars based in United States, New Zealand and Italy. Meredith Todd's co-authors include Gregg W. Stone, Philippe Gabríel Steg, Harvey D. White, Matthew J. Price, C. Michael Gibson, Deepak L. Bhatt, Kenneth W. Mahaffey, Robert A. Harrington, Christian W. Hamm and Tiepu Liu and has published in prestigious journals such as Journal of the American College of Cardiology, American Heart Journal and Open Forum Infectious Diseases.

In The Last Decade

Meredith Todd

6 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meredith Todd United States 4 235 157 90 22 11 7 247
Jan Mrózek Czechia 4 232 1.0× 130 0.8× 47 0.5× 12 0.5× 4 0.4× 14 240
Luigi Steffanon Italy 4 308 1.3× 258 1.6× 37 0.4× 9 0.4× 15 1.4× 6 324
Clémence Bassez France 4 281 1.2× 155 1.0× 69 0.8× 7 0.3× 3 0.3× 5 287
Willem L. Bor Netherlands 6 106 0.5× 52 0.3× 20 0.2× 36 1.6× 5 0.5× 20 121
Viliam Fridrich United States 6 152 0.6× 103 0.7× 36 0.4× 53 2.4× 20 1.8× 7 190
François Bernasconi France 4 193 0.8× 111 0.7× 22 0.2× 14 0.6× 9 0.8× 4 198
Keiichi Igarashi Hanaoka Japan 4 143 0.6× 95 0.6× 33 0.4× 15 0.7× 13 1.2× 5 150
Noboru Ichihara Japan 13 370 1.6× 27 0.2× 48 0.5× 16 0.7× 4 0.4× 27 387
Nancy Cook Bruns United States 3 108 0.5× 52 0.3× 44 0.5× 6 0.3× 22 2.0× 3 130
P. Widimsky Czechia 3 188 0.8× 91 0.6× 12 0.1× 52 2.4× 10 0.9× 3 200

Countries citing papers authored by Meredith Todd

Since Specialization
Citations

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

Fields of papers citing papers by Meredith Todd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meredith Todd

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

All Works

7 of 7 papers shown
1.
Todd, Meredith, et al.. (2019). 1029. Clinical and economic outcomes of a newly implemented daptomycin dosing policy in a four-hospital health system. Open Forum Infectious Diseases. 6(Supplement_2). S362–S362.
2.
Leonardi, Sergio, Renato D. Lópes, Philippe Gabríel Steg, et al.. (2016). Implications of different criteria for percutaneous coronary intervention-related myocardial infarction on study results of three large phase III clinical trials: The CHAMPION experience. European Heart Journal Acute Cardiovascular Care. 7(2). 158–165. 4 indexed citations
3.
Généreux, Philippe, Robert A. Harrington, Gregg W. Stone, et al.. (2014). INCIDENCE AND IMPACT OF STENT THROMBOSIS DURING PERCUTANEOUS CORONARY INTERVENTION: COMPARISON OF CANGRELOR AND CLOPIDOGREL FROM THE CHAMPION PHOENIX TRIAL. Journal of the American College of Cardiology. 63(12). A1814–A1814. 1 indexed citations
4.
Généreux, Philippe, Gregg W. Stone, Robert A. Harrington, et al.. (2013). Impact of Intraprocedural Stent Thrombosis During Percutaneous Coronary Intervention. Journal of the American College of Cardiology. 63(7). 619–629. 76 indexed citations
5.
Leonardi, Sergio, Amanda Stebbins, Renato D. Lópes, et al.. (2013). Quantification of the effect of clopidogrel on enzymatic infarct size related to a percutaneous coronary intervention in patients with acute coronary syndromes. Coronary Artery Disease. 24(4). 321–327. 3 indexed citations
6.
Leonardi, Sergio, Kenneth W. Mahaffey, Harvey D. White, et al.. (2012). Rationale and design of the Cangrelor versus standard therapy to acHieve optimal Management of Platelet InhibitiON PHOENIX trial. American Heart Journal. 163(5). 768–776.e2. 58 indexed citations
7.
Grines, Cindy L., Paolo Esente, Debra Hoppensteadt, et al.. (2001). Enoxaparin and abciximab adjunctive pharmacotherapy during percutaneous coronary intervention.. PubMed. 13(4). 272–8. 105 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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