Moran Sagiv

772 total citations
25 papers, 578 citations indexed

About

Moran Sagiv is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Cell Biology. According to data from OpenAlex, Moran Sagiv has authored 25 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 8 papers in Complementary and alternative medicine and 8 papers in Cell Biology. Recurrent topics in Moran Sagiv's work include Muscle metabolism and nutrition (8 papers), Cardiovascular and exercise physiology (8 papers) and Cardiovascular Effects of Exercise (7 papers). Moran Sagiv is often cited by papers focused on Muscle metabolism and nutrition (8 papers), Cardiovascular and exercise physiology (8 papers) and Cardiovascular Effects of Exercise (7 papers). Moran Sagiv collaborates with scholars based in Israel, Portugal and United States. Moran Sagiv's co-authors include Yamin Chen, Michael Sagiv, Nir Eynon, Yoav Meckel, Offer Amir, Ruthie E. Amir, David Ben‐Sira, Ehud Goldhammer, Alberto J. Alves and José Oliveira and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physiology and Metabolism.

In The Last Decade

Moran Sagiv

25 papers receiving 547 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moran Sagiv Israel 14 304 253 241 168 109 25 578
Tanya Boston Australia 6 344 1.1× 189 0.7× 311 1.3× 203 1.2× 51 0.5× 9 673
Zihong He China 13 138 0.5× 119 0.5× 118 0.5× 82 0.5× 59 0.5× 31 472
João Paulo Limongi França Guilherme Brazil 13 203 0.7× 121 0.5× 185 0.8× 175 1.0× 54 0.5× 24 444
Jonas Saugy Switzerland 15 393 1.3× 109 0.4× 127 0.5× 83 0.5× 94 0.9× 37 688
Sigal Ben‐Zaken Israel 13 243 0.8× 115 0.5× 215 0.9× 105 0.6× 23 0.2× 31 343
Gary Brickley United Kingdom 15 143 0.5× 122 0.5× 464 1.9× 82 0.5× 39 0.4× 40 732
Sarah M. Woolford Australia 12 174 0.6× 104 0.4× 265 1.1× 106 0.6× 49 0.4× 16 531
Elliott C. R. Hall United Kingdom 12 201 0.7× 151 0.6× 218 0.9× 102 0.6× 22 0.2× 25 399
В. А. Рогозкин Russia 16 851 2.8× 478 1.9× 594 2.5× 381 2.3× 40 0.4× 41 1.0k
Niklas Psilander Sweden 11 85 0.3× 49 0.2× 227 0.9× 274 1.6× 157 1.4× 21 675

Countries citing papers authored by Moran Sagiv

Since Specialization
Citations

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

Fields of papers citing papers by Moran Sagiv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moran Sagiv

This figure shows the co-authorship network connecting the top 25 collaborators of Moran Sagiv. A scholar is included among the top collaborators of Moran Sagiv 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 Moran Sagiv. Moran Sagiv 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.
Meckel, Yoav, Dan Nemet, Shlomit Radom‐Aizik, et al.. (2011). Hormonal and Inflammatory Responses to Different Types of Sprint Interval Training. The Journal of Strength and Conditioning Research. 25(8). 2161–2169. 51 indexed citations
2.
Alves, Alberto J., Fernando Ribeiro, Moran Sagiv, et al.. (2010). Resting Measures and Physiological Responses to Exercise for the Determination of Prognosis in Patients With Chronic Heart Failure. Cardiology in Review. 18(4). 171–177. 3 indexed citations
3.
Amir, Offer, Moran Sagiv, Nir Eynon, et al.. (2010). The response of circulating brain natriuretic peptide to academic stress in college students. Stress. 13(1). 83–90. 13 indexed citations
4.
Eynon, Nir, José Oliveira, Yoav Meckel, et al.. (2009). The guanine nucleotide binding protein β polypeptide 3 gene C825T polymorphism is associated with elite endurance athletes. Experimental Physiology. 94(3). 344–349. 28 indexed citations
5.
Amir, Offer, Ori Rogowski, Marina Bar‐Shai, et al.. (2009). Serum Oxidative Stress Level Correlates with Clinical Parameters in Chronic Systolic Heart Failure Patients. Clinical Cardiology. 32(4). 199–203. 24 indexed citations
6.
Eynon, Nir, Alberto J. Alves, Yoav Meckel, et al.. (2009). Is the interaction between HIF1A P582S and ACTN3 R577X determinant for power/sprint performance?. Metabolism. 59(6). 861–865. 30 indexed citations
7.
Eynon, Nir, Moran Sagiv, Yoav Meckel, et al.. (2009). NRF2 intron 3 A/G polymorphism is associated with endurance athletes’ status. Journal of Applied Physiology. 107(1). 76–79. 26 indexed citations
8.
Eynon, Nir, Yoav Meckel, Alberto J. Alves, et al.. (2009). Is there an interaction between PPARD T294C and PPARGC1A Gly482Ser polymorphisms and human endurance performance?. Experimental Physiology. 94(11). 1147–1152. 39 indexed citations
9.
Eynon, Nir, Alberto J. Alves, Moran Sagiv, et al.. (2009). Interaction between SNPs in the NRF2 gene and elite endurance performance. Physiological Genomics. 41(1). 78–81. 25 indexed citations
10.
Eynon, Nir, et al.. (2008). The Effect of Long-Term β-Adrenergic Receptor Blockade on the Oxygen Delivery and Extraction Relationship in Patients With Coronary Artery Disease. Journal of Cardiopulmonary Rehabilitation and Prevention. 28(3). 189–194. 16 indexed citations
11.
Chen, Yamin, José Alberto Duarte, José Oliveira, et al.. (2008). IL6 (-174) and TNFA (-308) promoter polymorphisms are associated with systemic creatine kinase response to eccentric exercise. European Journal of Applied Physiology. 104(3). 579–586. 74 indexed citations
12.
13.
Sagiv, Moran, et al.. (2007). OXYGEN DELIVERY OF MEN AND WOMEN AT PEAK WINGATE TEST. 1(3). 65–75. 1 indexed citations
14.
Sagiv, Moran, et al.. (2007). What Maintains Energy Supply at Peak Aerobic Exercise in Trained and Untrained Older Men?. Gerontology. 53(6). 357–361. 10 indexed citations
15.
Amir, Offer, Yamin Chen, Nir Eynon, et al.. (2007). The ACE deletion allele is associated with Israeli elite endurance athletes. Experimental Physiology. 92(5). 881–886. 95 indexed citations
16.
Ben‐Sira, David, et al.. (2007). Igf-I and fgf-2 responses to wingate anaerobic test in older men.. PubMed. 6(2). 227–32. 16 indexed citations
17.
Sagiv, Moran, et al.. (2006). LEFT VENTRICULAR SYSTOLIC FUNCTION DURING TREADMILL WALKING WITH LOAD CARRIAGE IN ADOLESCENTS. SHILAP Revista de lepidopterología. 4 indexed citations
18.
Ben‐Sira, David, et al.. (2006). IGF-I AND FGF-2 RESPONSES TO WINGATE ANAEROBIC TEST IN OLDER MEN. SHILAP Revista de lepidopterología. 12 indexed citations
19.
Sagiv, Moran, et al.. (2006). Left ventricular systolic function during treadmill walking with load carriage in adolescents.. PubMed. 5(2). 202–7. 7 indexed citations
20.
Sagiv, Michael, David Ben‐Sira, Moran Sagiv, & Ehud Goldhammer. (2005). Left Ventricular Function at Peak All-Out Anaerobic Exercise in Older Men. Gerontology. 51(2). 122–125. 3 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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