Jonathan Fialkow

1.5k citations
29 papers · 1.0k indexed · 1 hit paper · h-index 12
Topics
Lipoproteins and Cardiovascular Health (9 papers)Cardiac Imaging and Diagnostics (7 papers)Cardiovascular Disease and Adiposity (4 papers)
Journals
JAMACirculationSHILAP Revista de lepidopterología

In The Last Decade

Jonathan Fialkow

28 papers receiving 1.0k citations

Hit Papers

Effect of Evolocumab or Ezetimibe Added to Moderate- or H...20142026201820222014100200300400

Peers

Jonathan Fialkow
Comparison fields: 5 of 82
  • Surgery 539
  • Epidemiology 270
  • Cardiology and Cardiovascular Medicine 269
  • Endocrinology, Diabetes and Metabolism 247
  • Economics and Econometrics 224
Replace Di Sun with:
Di Sun China
Volker Schettler Germany
Daniel M. Kolansky United States
Benjamin J. Hirsh United States
Robert M. Stoekenbroek Netherlands
Paul Ziajka United States
Tsuyoshi Nozue Japan
Maria Donata Di Taranto Italy
S. Di Giacomo Italy
А. Н. Мешков Russia
Jonathan Fialkow relative to Di Sun China Di Sun's profile →
Citations per field
00.5×11.8×
Di Sun · 1×
Citations per year

Countries citing papers authored by Jonathan Fialkow

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Fialkow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Fialkow

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 10
4 1
5 1
6 1
7 3
8 12
9 3
10 4
11 2
12 41
13 15
14 1
15 71
16 51
17 1
18 47
19 42
20 267

About Jonathan Fialkow

Jonathan Fialkow is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiovascular Disease and Adiposity (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (247 citations), Surgery (539 citations) and Cardiology and Cardiovascular Medicine (269 citations). Jonathan Fialkow has collaborated with scholars based in United States, Denmark and Spain. Frequent co-authors include Khurram Nasir, Michael J. Blaha, Ransi Somaratne, Joel M. Neutel, William J. Rogers, Jennifer G. Robinson, Robert Weiss, Scott M. Wasserman, Bettina S. Nedergaard and Robert C. Scott. Their work appears in journals such as JAMA, Circulation and SHILAP Revista de lepidopterología.

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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