Mark Aronovitz

2.6k citations
28 papers · 2.1k · h-index 19

Impact in

Papers in

Mark Aronovitz

27 papers receiving 2.1k citations

Peers

Mark Aronovitz
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Genetics 1.0k
  • Obstetrics and Gynecology 136
  • Cardiology and Cardiovascular Medicine 377
  • Biochemistry 78
Replace Kerstin Strehlow with:
Kerstin Strehlow Germany
Sarah H. Lindsey United States
Michel Y. Farhat United States
Wendy Baur United States
Qing Lu United States
C.Ronald Kahn United States
Carlos P. Vío Chile
Tomoaki Ishigami Japan
Dariusz Moczulski Poland
Søren A. Urhammer Denmark
Mark Aronovitz relative to Kerstin Strehlow Germany Kerstin Strehlow's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mark Aronovitz

Since Specialization
Citations

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

Fields of papers citing papers by Mark Aronovitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Aronovitz, 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 Mark Aronovitz Line = papers co-authored together Mark Aronovitz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997429
2 2002304
3 2012271
4 1999226
5 1995224
6 2013109
7 201586
8 201565
9 201861
10 201057
11
The time-to-integrate-to-nest test as an indicator of wellbeing in laboratory mice.
201456
12 200148
13 200142
14 200532
15 199025
16 202324
17 199119
18 200719
19 201319
20 199110

About Mark Aronovitz

Mark Aronovitz is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Surgery, Genetics and Molecular Biology, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Menopause: Health Impacts and Treatments (6 papers), Hormonal Regulation and Hypertension (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (4 papers), Cardiac Fibrosis and Remodeling (4 papers), Signaling Pathways in Disease (3 papers) and Cardiac Arrhythmias and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Genetics (1.0k citations), Obstetrics and Gynecology (136 citations), Cardiology and Cardiovascular Medicine (377 citations) and Biochemistry (78 citations). Mark Aronovitz has collaborated with scholars based in United States, France and Netherlands. Frequent co-authors include Michael E. Mendelsohn, Richard H. Karas, Iris Z. Jaffe, Kenneth S. Korach, Pierre Chambon, Amy McCurley, Sung‐Jae Kim, Dennis B. Lubahn, Mark D. Iafrati and Thomas F.X. O’Donnell. Their work appears in journals such as Journal of Clinical Investigation, Hypertension, American Journal of Physiology-Heart and Circulatory Physiology, Journal of the American College of Cardiology and Nature Medicine.

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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