Jonathan L. Isaacsohn

3.1k citations
50 papers · 2.4k indexed · h-index 22

Jonathan L. Isaacsohn

48 papers receiving 2.2k citations

Peers

Jonathan L. Isaacsohn
Comparison fields: 5 of 103
  • Endocrinology, Diabetes and Metabolism 725
  • Surgery 1.5k
  • Cardiology and Cardiovascular Medicine 582
  • Nutrition and Dietetics 347
  • Biochemistry 162
Replace David M. Capuzzi with:
David M. Capuzzi United States
Rodrigo Alonso Spain
Jean Dallongeville France
Pia Lundman Sweden
Seung Hwan Han South Korea
Eak Kyun Shin South Korea
A.F.H. Stalenhoef Netherlands
Pedro Mata Spain
M.J. Whiting Australia
Ichiro Michishita Japan
Jonathan L. Isaacsohn relative to David M. Capuzzi United States David M. Capuzzi's profile →
Citations per field
00.5×1.5×
David M. Capuzzi · 1×
Citations per year

Countries citing papers authored by Jonathan L. Isaacsohn

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan L. Isaacsohn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jonathan L. Isaacsohn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan L. Isaacsohn Line = papers co-authored together Jonathan L. Isaacsohn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2012256
2
Abstract 15071: AMR101 Lowers Triglycerides, Atherogenic Lipoprotein, Phospholipase A2, and High-sensitivity C-reactive Protein Levels in Patients With High Triglycerides and on Background Statin Therapy (the ANCHOR Study)
20113
3 2011275
4 200621
5 20060
6 200556
7 20031
8 200321
9 200317
10 20025
11 200229
12 200181
13 20015
14 200055
15 200020
16 1999196
17 19987
18 199882
19 199450
20 19925

About Jonathan L. Isaacsohn

Jonathan L. Isaacsohn is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (36 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Cancer, Lipids, and Metabolism (11 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers), Pharmaceutical Economics and Policy (7 papers), Fatty Acid Research and Health (5 papers), Drug Transport and Resistance Mechanisms (2 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (725 citations), Surgery (1.5k citations) and Cardiology and Cardiovascular Medicine (582 citations). Jonathan L. Isaacsohn has collaborated with scholars based in United States, Switzerland and Netherlands. Frequent co-authors include John J.P. Kastelein, Harold Bays, Christie M. Ballantyne, Paresh N. Soni, Rene A. Braeckman, Evan A. Stein, Lawrence Brass, C.D. Robinette, Kathleen R. Merikangas and Evan A. Stein.

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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