Daniel Rivas

1.6k total citations
26 papers, 1.2k citations indexed

About

Daniel Rivas is a scholar working on Molecular Biology, Orthopedics and Sports Medicine and Oncology. According to data from OpenAlex, Daniel Rivas has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Orthopedics and Sports Medicine and 6 papers in Oncology. Recurrent topics in Daniel Rivas's work include Bone Metabolism and Diseases (6 papers), Bone health and treatments (5 papers) and RNA Research and Splicing (5 papers). Daniel Rivas is often cited by papers focused on Bone Metabolism and Diseases (6 papers), Bone health and treatments (5 papers) and RNA Research and Splicing (5 papers). Daniel Rivas collaborates with scholars based in Canada, Australia and Spain. Daniel Rivas's co-authors include Gustavo Duque, Xiying Wu, Jeffrey M. Gimble, Rahima Akter, Michael Macoritto, Richard Kremer, Dao Chao Huang, Xian Yang, Wei Li and Hicham Drissi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Circulation Research and The FASEB Journal.

In The Last Decade

Daniel Rivas

25 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
Daniel Rivas Canada 16 635 347 271 175 149 26 1.2k
Ulrike I. Mödder United States 21 936 1.5× 741 2.1× 584 2.2× 122 0.7× 142 1.0× 24 1.9k
Ghi Su Kim South Korea 22 723 1.1× 507 1.5× 322 1.2× 185 1.1× 70 0.5× 45 1.5k
Toshio Fumoto Japan 10 618 1.0× 230 0.7× 341 1.3× 97 0.6× 90 0.6× 24 1.1k
Ken-ichiro Tanaka Japan 19 500 0.8× 301 0.9× 182 0.7× 218 1.2× 32 0.2× 35 1.1k
Jin‐Wei He China 22 600 0.9× 397 1.1× 335 1.2× 125 0.7× 40 0.3× 84 1.6k
Fumitaka Mizoguchi Japan 17 577 0.9× 108 0.3× 201 0.7× 106 0.6× 81 0.5× 60 1.2k
Zhifeng Sheng China 19 841 1.3× 664 1.9× 302 1.1× 207 1.2× 46 0.3× 97 1.7k
Claudius E. Robinson United States 9 631 1.0× 171 0.5× 212 0.8× 250 1.4× 193 1.3× 12 1.0k
Seong Yeon Kim South Korea 23 614 1.0× 113 0.3× 166 0.6× 188 1.1× 117 0.8× 51 1.4k
Dongxing Zhu United Kingdom 22 676 1.1× 125 0.4× 146 0.5× 109 0.6× 40 0.3× 42 1.7k

Countries citing papers authored by Daniel Rivas

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Rivas

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Rivas. A scholar is included among the top collaborators of Daniel Rivas 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 Daniel Rivas. Daniel Rivas 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.
Rivas, Daniel, et al.. (2024). Exercise as a Therapeutic Tool in Age-Related Frailty and Cardiovascular Disease: Challenges and Strategies. Canadian Journal of Cardiology. 40(8). 1458–1467. 13 indexed citations
2.
Rivas, Daniel, et al.. (2024). Mechanisms of muscle cells alterations and regeneration decline during aging. Ageing Research Reviews. 102. 102589–102589. 10 indexed citations
3.
Salech, Felipe, et al.. (2024). Deciphering Osteosarcopenia through the hallmarks of aging. Mechanisms of Ageing and Development. 222. 111997–111997. 4 indexed citations
4.
Rivas, Daniel, et al.. (2023). The Role of the Kynurenine Pathway in the Pathophysiology of Frailty, Sarcopenia, and Osteoporosis. Nutrients. 15(14). 3132–3132. 26 indexed citations
5.
Roubille, François, David Busseuil, Yanfen Shi, et al.. (2021). Colchicine reduces atherosclerotic plaque vulnerability in rabbits. SHILAP Revista de lepidopterología. 45. 1–9. 9 indexed citations
6.
Crespo, Alejandro, et al.. (2017). Anomalous Origin of Right Coronary Artery From Left Coronary Sinus—13 Cases Treated With the Reimplantation Technique. World Journal for Pediatric and Congenital Heart Surgery. 8(3). 315–320. 12 indexed citations
7.
Ghanbari, Hamid, et al.. (2011). Safety, Efficacy, and Performance of Implanted Recycled Cardiac Rhythm Management (CRM) Devices in Underprivileged Patients. Pacing and Clinical Electrophysiology. 34(6). 653–658. 15 indexed citations
8.
Duque, Gustavo, Dao Chao Huang, Natalie Dion, et al.. (2011). Interferon-γ plays a role in bone formation in vivo and rescues osteoporosis in ovariectomized mice. Journal of Bone and Mineral Research. 26(7). 1472–1483. 130 indexed citations
9.
Rivas, Daniel, et al.. (2009). Differential expression of cytokines in subcutaneous and marrow fat of aging C57BL/6J mice. Experimental Gerontology. 44(9). 613–618. 54 indexed citations
10.
Rivas, Daniel, et al.. (2009). Alendronate affects calcium dynamics in cardiomyocytes in vitro. Vascular Pharmacology. 51(5-6). 350–358. 23 indexed citations
11.
Rivas, Daniel, et al.. (2009). Effect of estrogens on bone marrow adipogenesis and Sirt1 in aging C57BL/6J mice. Biogerontology. 10(6). 747–755. 90 indexed citations
12.
Wu, Xiying, et al.. (2009). Inhibition of fatty acid biosynthesis prevents adipocyte lipotoxicity on human osteoblasts in vitro. Journal of Cellular and Molecular Medicine. 14(4). 982–991. 145 indexed citations
13.
Duque, Gustavo, Dao Chao Huang, Michael Macoritto, et al.. (2008). Autocrine Regulation of Interferon γ in Mesenchymal Stem Cells Plays a Role in Early Osteoblastogenesis. Stem Cells. 27(3). 550–558. 93 indexed citations
14.
Duque, Gustavo, Daniel Rivas, Wei Li, et al.. (2008). Age-related bone loss in the LOU/c rat model of healthy ageing. Experimental Gerontology. 44(3). 183–189. 45 indexed citations
15.
Akter, Rahima, et al.. (2008). Effect of Lamin A/C Knockdown on Osteoblast Differentiation and Function. Journal of Bone and Mineral Research. 24(2). 283–293. 97 indexed citations
16.
Afilalo, Jonathan, Igal A. Sebag, Lorraine E. Chalifour, et al.. (2007). Age-related changes in lamin A/C expression in cardiomyocytes. American Journal of Physiology-Heart and Circulatory Physiology. 293(3). H1451–H1456. 34 indexed citations
17.
Rivas, Daniel, Rahima Akter, & Gustavo Duque. (2007). Inhibition of Protein Farnesylation Arrests Adipogenesis and Affects PPARγExpression and Activation in Differentiating Mesenchymal Stem Cells. PPAR Research. 2007. 1–7. 11 indexed citations
18.
Duque, Gustavo & Daniel Rivas. (2007). Alendronate Has an Anabolic Effect on Bone Through the Differentiation of Mesenchymal Stem Cells. Journal of Bone and Mineral Research. 22(10). 1603–1611. 131 indexed citations
19.
Duque, Gustavo & Daniel Rivas. (2006). Age-related changes in lamin A/C expression in the osteoarticular system: Laminopathies as a potential new aging mechanism. Mechanisms of Ageing and Development. 127(4). 378–383. 46 indexed citations
20.
Farré, Jerónimo, et al.. (1996). Current Role and Future Perspectives for Radiofrequency Catheter Ablation of Postmyocardial Infarction Ventricular Tachycardia. The American Journal of Cardiology. 78(5). 76–88. 11 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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