J. Jarmolych

1.5k citations
38 papers · 1.2k · h-index 19

Impact in

Papers in

J. Jarmolych

37 papers receiving 1.1k citations

Peers

J. Jarmolych
Comparison fields: 5 of 86
  • Nutrition and Dietetics 289
  • Biochemistry 107
  • Cardiology and Cardiovascular Medicine 269
  • Biochemistry 78
  • Surgery 453
Replace R.A. Florentin with:
R.A. Florentin United States
A.S. Daoud United States
Jan Willem N. Akkerman Netherlands
Mary Richardson Canada
K. Meßmer Germany
Hao Ly Canada
Angelika Neuhofer Austria
Alexandra Schmid‐Kotsas Germany
Akshaya K. Meher United States
R Vlaicu Romania
J. Jarmolych relative to R.A. Florentin United States R.A. Florentin's profile →
Citations per field
00.5×4.5×
R.A. Florentin · 1×
Citations per year

Countries citing papers authored by J. Jarmolych

Since Specialization
Citations

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

Fields of papers citing papers by J. Jarmolych

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986287
2 196891
3 197071
4
Sequential morphologic studies of regression of advanced atherosclerosis.
198170
5 197368
6 196455
7 196752
8 197851
9 197145
10 198538
11
Regression of advanced atherosclerosis in swine: chemical studies.
197635
12 197031
13 196629
14 198723
15 198023
16 197722
17 198521
18 197320
19 197319
20 196418

About J. Jarmolych

J. Jarmolych is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Surgery, Immunology and Epidemiology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (11 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Molecular Biology Techniques and Applications (5 papers), Coronary Interventions and Diagnostics (4 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Liver Disease Diagnosis and Treatment (3 papers) and Cardiac Valve Diseases and Treatments (3 papers). The work is most often cited by research in Nutrition and Dietetics (289 citations), Biochemistry (107 citations), Cardiology and Cardiovascular Medicine (269 citations), Biochemistry (78 citations) and Surgery (453 citations). J. Jarmolych has collaborated with scholars based in United States, Germany and Uganda. Frequent co-authors include A.S. Daoud, Katherine Fritz, Joan M. Augustyn, Bonnie H. Weiner, Ira S. Ockene, Assaad S. Daoud, S.C. Nam, Peter H. Levine, Henri Cuénoud and Marc Fisher. Their work appears in journals such as Experimental and Molecular Pathology, Atherosclerosis, The American Journal of Cardiology, Circulation and Journal of Surgical Research.

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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