Jennifer Fine

55 total papers · 3.8k total citations
43 papers, 2.8k citations indexed

About

Jennifer Fine is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Ophthalmology. According to data from OpenAlex, Jennifer Fine has authored 43 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 11 papers in Epidemiology and 9 papers in Ophthalmology. Recurrent topics in Jennifer Fine's work include Cardiomyopathy and Myosin Studies (11 papers), Retinal Diseases and Treatments (8 papers) and Cardiovascular Function and Risk Factors (7 papers). Jennifer Fine is often cited by papers focused on Cardiomyopathy and Myosin Studies (11 papers), Retinal Diseases and Treatments (8 papers) and Cardiovascular Function and Risk Factors (7 papers). Jennifer Fine collaborates with scholars based in United States, South Africa and United Kingdom. Jennifer Fine's co-authors include Chantal Dolan, Neil M. Bressler, Alex Bajamonde, Raymond L. Benza, C. Michael Gibson, Timothy D. Henry, Frank J. Giordano, Daniel S. Berman, Brian H. Annex and Amy Chen Rundle and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Jennifer Fine

43 papers receiving 2.7k citations

Hit Papers

The VIVA Trial 2003 2026 2010 2018 2003 2014 2021 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jennifer Fine 684 601 576 477 453 43 2.8k
J.J. Heimans 525 0.8× 114 0.2× 704 1.2× 788 1.7× 454 1.0× 98 5.5k
Monika Baier 562 0.8× 809 1.3× 242 0.4× 672 1.4× 363 0.8× 60 4.5k
David Brea 1.3k 1.9× 146 0.2× 321 0.6× 385 0.8× 113 0.2× 57 3.5k
Keiko Naruse 1.2k 1.7× 135 0.2× 146 0.3× 148 0.3× 526 1.2× 85 3.4k
Chung‐Ching Chio 935 1.4× 115 0.2× 161 0.3× 1000 2.1× 433 1.0× 129 3.7k
Salvatore Caputo 488 0.7× 324 0.5× 220 0.4× 105 0.2× 447 1.0× 57 2.0k
Ying Guo 723 1.1× 368 0.6× 133 0.2× 113 0.2× 330 0.7× 127 2.3k
Peter van Wijngaarden 1.3k 1.9× 1.3k 2.2× 978 1.7× 222 0.5× 141 0.3× 128 4.6k
Maria Laura Manca 621 0.9× 172 0.3× 237 0.4× 620 1.3× 145 0.3× 79 2.3k
Dana Leifer 797 1.2× 153 0.3× 227 0.4× 620 1.3× 334 0.7× 48 2.7k

Countries citing papers authored by Jennifer Fine

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Fine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Fine

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

All Works

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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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