Darrell Loeffler

814 total citations
16 papers, 616 citations indexed

About

Darrell Loeffler is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Darrell Loeffler has authored 16 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Darrell Loeffler's work include Biomarkers in Disease Mechanisms (3 papers), TGF-β signaling in diseases (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). Darrell Loeffler is often cited by papers focused on Biomarkers in Disease Mechanisms (3 papers), TGF-β signaling in diseases (3 papers) and Angiogenesis and VEGF in Cancer (3 papers). Darrell Loeffler collaborates with scholars based in United States, Japan and Switzerland. Darrell Loeffler's co-authors include Lilach O. Lerman, Amir Lerman, Sundeep Khosla, Mario Gössl, David N. Proctor, Niki M. Dietz, Michael J. Joyner, Andreas J. Flammer, Ryan J. Lennon and R. Jay Widmer and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Darrell Loeffler

16 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Darrell Loeffler United States 11 245 157 130 110 88 16 616
R Gay United States 11 178 0.7× 35 0.2× 115 0.9× 56 0.5× 82 0.9× 28 591
Yan Tu China 11 70 0.3× 32 0.2× 239 1.8× 28 0.3× 101 1.1× 38 698
Michalis Katsimpoulas Greece 15 128 0.5× 17 0.1× 112 0.9× 51 0.5× 230 2.6× 43 600
H. Ibrahim Korkmaz Netherlands 10 412 1.7× 24 0.2× 123 0.9× 40 0.4× 90 1.0× 31 727
M Takahashi Japan 11 34 0.1× 35 0.2× 316 2.4× 63 0.6× 137 1.6× 31 938
Giuseppe Scavone Italy 12 76 0.3× 12 0.1× 233 1.8× 72 0.7× 101 1.1× 18 597
Shigemasa Hashimoto Japan 12 244 1.0× 62 0.4× 99 0.8× 47 0.4× 261 3.0× 20 576
F. P. Cantatore Italy 13 63 0.3× 12 0.1× 218 1.7× 30 0.3× 129 1.5× 44 832
Yoshikazu Morita Japan 12 43 0.2× 13 0.1× 202 1.6× 53 0.5× 53 0.6× 29 588

Countries citing papers authored by Darrell Loeffler

Since Specialization
Citations

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

Fields of papers citing papers by Darrell Loeffler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darrell Loeffler

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

All Works

16 of 16 papers shown
1.
Toya, Takumi, Ilke Ӧzcan, Michel Corban, et al.. (2021). Compositional change of gut microbiome and osteocalcin expressing endothelial progenitor cells in patients with coronary artery disease. PLoS ONE. 16(3). e0249187–e0249187. 15 indexed citations
2.
Ӧzcan, Ilke, Takumi Toya, Michel Corban, et al.. (2021). Circulating progenitor cells are associated with plaque progression and long-term outcomes in heart transplant patients. Cardiovascular Research. 118(7). 1703–1712. 5 indexed citations
3.
Al‐Hijji, Mohammed, Nupoor Narula, Sundeep Khosla, et al.. (2019). Circulating Osteogenic Progenitor Cells in Mild, Moderate, and Severe Aortic Valve Stenosis. Mayo Clinic Proceedings. 94(4). 652–659. 8 indexed citations
4.
Corban, Michel, Abhiram Prasad, Darrell Loeffler, et al.. (2018). Local Production of Soluble Urokinase Plasminogen Activator Receptor and Plasminogen Activator Inhibitor‐1 in the Coronary Circulation Is Associated With Coronary Endothelial Dysfunction in Humans. Journal of the American Heart Association. 7(15). e009881–e009881. 29 indexed citations
5.
Khosla, Sundeep, Ryan J. Lennon, Darrell Loeffler, et al.. (2016). Circulating osteogenic endothelial progenitor cell counts: new biomarker for the severity of coronary artery disease. International Journal of Cardiology. 227. 833–839. 24 indexed citations
6.
Gössl, Mario, Yoshiki Matsuo, Andreas J. Flammer, et al.. (2014). Osteogenic monocytes within the coronary circulation and their association with plaque vulnerability in patients with early atherosclerosis. International Journal of Cardiology. 181. 57–64. 30 indexed citations
7.
Herrmann, Joerg, Katharina Willuweit, Darrell Loeffler, et al.. (2012). THE IMMUNOPROTEASOME – A NEW CHARACTERISTIC OF SYMPTOMATIC CAROTID ARTERY PLAQUES. Journal of the American College of Cardiology. 59(13). E2054–E2054. 4 indexed citations
8.
Flammer, Andreas J., Mario Gössl, R. Jay Widmer, et al.. (2012). Osteocalcin positive CD133+/CD34-/KDR+ progenitor cells as an independent marker for unstable atherosclerosis. European Heart Journal. 33(23). 2963–2969. 59 indexed citations
9.
Gössl, Mario, Sundeep Khosla, Nara S. Higano, et al.. (2012). Role of Circulating Osteogenic Progenitor Cells in Calcific Aortic Stenosis. Journal of the American College of Cardiology. 60(19). 1945–1953. 61 indexed citations
10.
Flammer, Andreas J., Elizabeth A. Martin, Mario Gössl, et al.. (2012). Polyphenol-rich cranberry juice has a neutral effect on endothelial function but decreases the fraction of osteocalcin-expressing endothelial progenitor cells. European Journal of Nutrition. 52(1). 289–296. 61 indexed citations
11.
Flammer, Andreas J., Mario Gössl, Jing Li, et al.. (2012). Patients with an HbA1c in the Prediabetic and Diabetic Range Have Higher Numbers of Circulating Cells with Osteogenic and Endothelial Progenitor Cell Markers. The Journal of Clinical Endocrinology & Metabolism. 97(12). 4761–4768. 31 indexed citations
12.
Gössl, Mario, Ulrike I. Mödder, Rajiv Gulati, et al.. (2010). Coronary endothelial dysfunction in humans is associated with coronary retention of osteogenic endothelial progenitor cells. European Heart Journal. 31(23). 2909–2914. 63 indexed citations
13.
Johnson, Bruce D., Ken C. Beck, David N. Proctor, et al.. (1999). OPEN CIRCUIT ACETYLENE WASH-IN TECHNIQUE FOR DETERMINING CARDIAC OUTPUT DURING EXERCISE: COMPARISON WITH DIRECT FICK. Medicine & Science in Sports & Exercise. 31(Supplement). S58–S58. 2 indexed citations
14.
Proctor, David N., et al.. (1998). Reduced leg blood flow during dynamic exercise in older endurance-trained men. Journal of Applied Physiology. 85(1). 68–75. 188 indexed citations
15.
Kirker‐Head, Carl A., Darrell Loeffler, & Julia Held. (1985). Pelvic limb lameness due to malignant melanoma in a horse. Journal of the American Veterinary Medical Association. 186(11). 1215–1217. 10 indexed citations
16.
Loeffler, Darrell, et al.. (1985). Pelvic limb lameness due to malignant melanoma in a horse.. PubMed. 186(11). 1215–7. 26 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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2026