Jason A. Sherer

1.3k total citations · 1 hit paper
8 papers, 862 citations indexed

About

Jason A. Sherer is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Economics and Econometrics. According to data from OpenAlex, Jason A. Sherer has authored 8 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cardiology and Cardiovascular Medicine, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Economics and Econometrics. Recurrent topics in Jason A. Sherer's work include Atrial Fibrillation Management and Outcomes (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Jason A. Sherer is often cited by papers focused on Atrial Fibrillation Management and Outcomes (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Jason A. Sherer collaborates with scholars based in United States, Denmark and Israel. Jason A. Sherer's co-authors include Emelia J. Benjamin, Darae Ko, Robert Helm, Laila Stærk, Ludovic Trinquart, Jeffrey I. Schneider, Bishal Gyawali, David D. McManus, Michael K. Paasche‐Orlow and Isabelle R. Weir and has published in prestigious journals such as Circulation, Circulation Research and The American Journal of Medicine.

In The Last Decade

Jason A. Sherer

7 papers receiving 852 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Atrial Fibrillation

2017 772 citations Laila Stærk, Jason A. Sherer et al. Circulation Research profile →

Peers

Jason A. Sherer

CCM

MB

RNMI

EE

EPIDE

Michał Mazurek Poland

Mikhail S. Dzeshka Belarus

Michael Efremidis Greece

Ronghui Yu China

Moritake Iguchi Japan

Euijae Lee South Korea

Jianlin Du China

Josephine Harrington United States

Jakub Gumprecht Poland

Deyong Long China

Michał Mazurek Poland

Jason A. Sherer

651 ×0.9

CCM

89 ×0.9

MB

59 ×0.7

RNMI

35 ×0.6

EE

91 ×1.5

EPIDE

Citations per year, relative to Jason A. Sherer Jason A. Sherer (= 1×) peers Michał Mazurek

Countries citing papers authored by Jason A. Sherer

Since Specialization

Citations

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

Fields of papers citing papers by Jason A. Sherer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason A. Sherer. 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 Jason A. Sherer. The network helps show where Jason A. Sherer may publish in the future.

Co-authorship network of co-authors of Jason A. Sherer

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Sherer, Jason A., Shani Dahan, Ygal Plakht, et al.. (2023). Abstract 18784: Impaired Left Atrial Strain is a Risk Factor for New-Onset Atrial Fibrillation. Circulation. 148(Suppl_1).

2.

Wilechansky, Robert M., et al.. (2021). Revamping Residency Education during a Pandemic with Twitter-Based Learning. Medical Science Educator. 31(2). 303–304. 4 indexed citations

3.

Sherer, Jason A., et al.. (2020). Atrial Fibrillation and the Risk of Subsequent Fracture. The American Journal of Medicine. 133(8). 954–960. 3 indexed citations

4.

Orkaby, Ariela R., Jelena Kornej, Steven A. Lubitz, et al.. (2020). Association Between Frailty and Atrial Fibrillation in Older Adults: The Framingham Heart Study Offspring Cohort. Journal of the American Heart Association. 10(1). e018557–e018557. 19 indexed citations

5.

Long, Michelle T., Darae Ko, Lindsay M. Arnold, et al.. (2019). Gastrointestinal and liver diseases and atrial fibrillation: a review of the literature. Therapeutic Advances in Gastroenterology. 12. 3973021101–3973021101. 17 indexed citations

6.

Weir, Isabelle R., Jeffrey I. Schneider, Jason A. Sherer, et al.. (2018). Interpretation of time-to-event outcomes in randomized trials: an online randomized experiment. Annals of Oncology. 30(1). 96–102. 31 indexed citations

7.

Stærk, Laila, Jason A. Sherer, Darae Ko, Emelia J. Benjamin, & Robert Helm. (2017). Atrial Fibrillation. Circulation Research. 120(9). 1501–1517. 772 indexed citations breakdown →

8.

Stærk, Laila, Biqi Wang, Kathryn L. Lunetta, et al.. (2017). Association Between Leukocyte Telomere Length and the Risk of Incident Atrial Fibrillation: The Framingham Heart Study. Journal of the American Heart Association. 6(11). 16 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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