John M. Erikson

1.5k total citations
24 papers, 1.2k citations indexed

About

John M. Erikson is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Surgery. According to data from OpenAlex, John M. Erikson has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cardiology and Cardiovascular Medicine, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in John M. Erikson's work include Cardiovascular Function and Risk Factors (4 papers), Cardiovascular Effects of Exercise (4 papers) and Cardiac Ischemia and Reperfusion (3 papers). John M. Erikson is often cited by papers focused on Cardiovascular Function and Risk Factors (4 papers), Cardiovascular Effects of Exercise (4 papers) and Cardiac Ischemia and Reperfusion (3 papers). John M. Erikson collaborates with scholars based in United States and United Kingdom. John M. Erikson's co-authors include Homer G. Biggs, Wells R Moorehead, Inmaculada del Rincón, Daniel F. Battafarano, Agustín Escalante, José Félix Restrepo, D.H. Jung, John Q. Zhang, Lisa L. Ji and Russell A. Prough and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Medicine & Science in Sports & Exercise.

In The Last Decade

John M. Erikson

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John M. Erikson United States 16 321 252 225 196 155 24 1.2k
Jonica Campolo Italy 19 200 0.6× 246 1.0× 179 0.8× 99 0.5× 179 1.2× 67 1.2k
Reiko Ohmori Japan 21 293 0.9× 303 1.2× 138 0.6× 151 0.8× 293 1.9× 76 1.5k
Yoshitaka Kumon Japan 27 281 0.9× 549 2.2× 292 1.3× 354 1.8× 460 3.0× 95 2.3k
Cristino Cruz Mexico 23 151 0.5× 367 1.5× 135 0.6× 280 1.4× 180 1.2× 62 1.7k
S. De Luca Italy 15 161 0.5× 207 0.8× 86 0.4× 102 0.5× 104 0.7× 46 908
Juliana Hwang United States 19 275 0.9× 401 1.6× 83 0.4× 317 1.6× 265 1.7× 25 1.6k
Iyyapu Krishna Mohan India 19 163 0.5× 247 1.0× 61 0.3× 163 0.8× 199 1.3× 38 1.2k
Chiara Stranieri Italy 31 485 1.5× 527 2.1× 136 0.6× 290 1.5× 301 1.9× 53 1.9k
Masatoshi Mune Japan 18 81 0.3× 183 0.7× 100 0.4× 134 0.7× 203 1.3× 61 1.1k
Maurizio Degan Italy 20 345 1.1× 326 1.3× 42 0.2× 122 0.6× 165 1.1× 58 1.2k

Countries citing papers authored by John M. Erikson

Since Specialization
Citations

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

Fields of papers citing papers by John M. Erikson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Erikson. 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 John M. Erikson. The network helps show where John M. Erikson may publish in the future.

Co-authorship network of co-authors of John M. Erikson

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Erikson. A scholar is included among the top collaborators of John M. Erikson 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 John M. Erikson. John M. Erikson 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
1.
Erikson, John M., Anthony J. Valente, Srinivas Mummidi, et al.. (2017). Targeting TRAF3IP2 by Genetic and Interventional Approaches Inhibits Ischemia/Reperfusion-induced Myocardial Injury and Adverse Remodeling. Journal of Biological Chemistry. 292(6). 2345–2358. 30 indexed citations
2.
Rincón, Inmaculada del, Joseph F. Polak, Daniel H. O’Leary, et al.. (2014). Systemic inflammation and cardiovascular risk factors predict rapid progression of atherosclerosis in rheumatoid arthritis. Annals of the Rheumatic Diseases. 74(6). 1118–1123. 103 indexed citations
3.
Rincón, Inmaculada del, Daniel F. Battafarano, José Félix Restrepo, John M. Erikson, & Agustín Escalante. (2013). Glucocorticoid Dose Thresholds Associated With All‐Cause and Cardiovascular Mortality in Rheumatoid Arthritis. Arthritis & Rheumatology. 66(2). 264–272. 203 indexed citations
4.
Xu, Xiaohua, et al.. (2010). Effects of Exercise and l-Arginine on Ventricular Remodeling and Oxidative Stress. Medicine & Science in Sports & Exercise. 42(2). 346–354. 19 indexed citations
5.
6.
7.
Virmani, Renu, Dat Do, John M. Erikson, et al.. (2008). A Comparative Evaluation of Arterial Blood Flow and the Healing Response after Femoral Artery Closure Using Angio‐Seal STS Plus and StarClose in a Porcine Model. Journal of Interventional Cardiology. 21(4). 329–336. 12 indexed citations
8.
Goldman, Steven, Madeline McCarren, Eugene Morkin, et al.. (2008). DITPA, a Thyroid Hormone Analog to Treat Heart Failure: Phase II Trial VA Cooperative Study. Journal of Cardiac Failure. 14(9). 796–796. 7 indexed citations
9.
Slim, Ahmad, et al.. (2007). Transcatheter Cardiac Fistula Repair with the Amplatzer Duct Occluder: A Case Report and Review. Journal of Interventional Cardiology. 21(3). 260–264. 4 indexed citations
10.
Li, Ji, et al.. (2007). Effect of Post–Myocardial Infarction Exercise Training on the Renin-Angiotensin-Aldosterone System and Cardiac Function. The American Journal of the Medical Sciences. 334(4). 265–273. 37 indexed citations
11.
Xu, Xiaohua, Ji Li, Lisa L. Ji, et al.. (2007). Effects of exercise training on cardiac function and myocardial remodeling in post myocardial infarction rats. Journal of Molecular and Cellular Cardiology. 44(1). 114–122. 87 indexed citations
12.
Erikson, John M. & Carlos Velasco. (1996). Endothelin-1 and myocardial preconditioning. American Heart Journal. 132(1). 84–90. 27 indexed citations
13.
Erikson, John M., Donald Tweedie, Jonathan M. Ducore, & Russell A. Prough. (1989). Cytotoxicity and DNA damage caused by the azoxy metabolites of procarbazine in L1210 tumor cells.. PubMed. 49(1). 127–33. 27 indexed citations
14.
Tweedie, Donald, John M. Erikson, & Russell A. Prough. (1987). Metabolism of hydrazine anti-cancer agents. Pharmacology & Therapeutics. 34(1). 111–127. 24 indexed citations
15.
Erikson, John M. & Russell A. Prough. (1986). Oxidative metabolism of some hydrazine derivatives by rat liver and lung tissue fractions. Journal of Biochemical Toxicology. 1(1). 41–52. 5 indexed citations
16.
Biggs, Homer G., John M. Erikson, & Wells R Moorehead. (1975). A Manual Colorimetric Assay of Triglycerides in Serum. Clinical Chemistry. 21(3). 437–441. 144 indexed citations
17.
Biggs, Homer G., John M. Erikson, & Wells R Moorehead. (1975). A manual colormetric assay of triglycerides in serum.. PubMed. 21(3). 437–41. 152 indexed citations
18.
Jung, D.H., et al.. (1975). New Colorimetric Reaction for End-Point, Continuous-Flow, and Kinetic Measurement of Urea. Clinical Chemistry. 21(8). 1136–1140. 125 indexed citations
19.
Erikson, John M. & Homer G. Biggs. (1973). Preparation of Amine Salts of Thymolphthalein Monophosphate and Their Use for Measuring Phosphatase Activity. Clinical Chemistry. 19(11). 1302–1303. 1 indexed citations
20.
Erikson, John M.. (1972). N-acetylanthranilic acid. A highly triboluminescent material. Journal of Chemical Education. 49(10). 688–688. 12 indexed citations

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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