Daniel Winnica

1.4k total citations
21 papers, 1.0k citations indexed

About

Daniel Winnica is a scholar working on Physiology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Daniel Winnica has authored 21 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Physiology, 9 papers in Molecular Biology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Daniel Winnica's work include Asthma and respiratory diseases (5 papers), Nitric Oxide and Endothelin Effects (3 papers) and Mitochondrial Function and Pathology (3 papers). Daniel Winnica is often cited by papers focused on Asthma and respiratory diseases (5 papers), Nitric Oxide and Endothelin Effects (3 papers) and Mitochondrial Function and Pathology (3 papers). Daniel Winnica collaborates with scholars based in United States, Argentina and Canada. Daniel Winnica's co-authors include Cynthia W. Baffi, Valerian E. Kagan, Fernando Holguín, Loretta G. Que, Patrick J. Strollo, Lisa G. Wood, Mark T. Gladwin, Fernando Holguín, Jim Peterson and Alexandr A. Kapralov and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Daniel Winnica

20 papers receiving 1.0k 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 Winnica United States 15 409 319 301 136 77 21 1.0k
Bianca Maria Rotoli Italy 22 426 1.0× 185 0.6× 149 0.5× 134 1.0× 41 0.5× 63 1.2k
Haijun Liu China 17 408 1.0× 130 0.4× 198 0.7× 103 0.8× 82 1.1× 57 1.0k
Bo Peng China 20 645 1.6× 94 0.3× 181 0.6× 146 1.1× 112 1.5× 89 1.5k
Francesca Raimondo Italy 18 1.0k 2.5× 212 0.7× 225 0.7× 88 0.6× 101 1.3× 36 1.6k
Stephen P. Kantrow United States 19 581 1.4× 562 1.8× 422 1.4× 213 1.6× 237 3.1× 43 1.9k
Arineh Khechaduri United States 14 772 1.9× 89 0.3× 225 0.7× 73 0.5× 72 0.9× 18 1.6k
Renato Massoud Italy 25 588 1.4× 195 0.6× 147 0.5× 89 0.7× 108 1.4× 75 1.9k
Kyoko Yoshioka Japan 22 745 1.8× 470 1.5× 132 0.4× 111 0.8× 218 2.8× 65 1.8k
Daejin Kim South Korea 21 369 0.9× 115 0.4× 170 0.6× 209 1.5× 115 1.5× 59 1.5k
Eizo Marutani United States 20 662 1.6× 278 0.9× 65 0.2× 99 0.7× 97 1.3× 40 1.6k

Countries citing papers authored by Daniel Winnica

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Winnica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Winnica

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Winnica. A scholar is included among the top collaborators of Daniel Winnica 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 Winnica. Daniel Winnica 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.
2.
Pino‐Yanes, Maria, Elizabeth G. Plender, Jamie L. Everman, et al.. (2023). Epigenomic response to albuterol treatment in asthma-relevant airway epithelial cells. Clinical Epigenetics. 15(1). 156–156. 6 indexed citations
3.
Dimasuay, Kris Genelyn, et al.. (2023). High-fat diet and palmitic acid amplify airway type 2 inflammation. SHILAP Revista de lepidopterología. 4. 1193480–1193480. 9 indexed citations
4.
Winnica, Daniel, et al.. (2022). Airway epithelial Paraoxonase-2 in obese asthma. PLoS ONE. 17(3). e0261504–e0261504. 11 indexed citations
5.
Winnica, Daniel, Catherine Corey, Steven J. Mullett, et al.. (2019). Bioenergetic Differences in the Airway Epithelium of Lean Versus Obese Asthmatics Are Driven by Nitric Oxide and Reflected in Circulating Platelets. Antioxidants and Redox Signaling. 31(10). 673–686. 58 indexed citations
6.
Holguín, Fernando, et al.. (2019). L-Citrulline increases nitric oxide and improves control in obese asthmatics. JCI Insight. 4(24). 55 indexed citations
7.
Baffi, Cynthia W., Lisa G. Wood, Daniel Winnica, et al.. (2016). Metabolic Syndrome and the Lung. CHEST Journal. 149(6). 1525–1534. 162 indexed citations
8.
Winnica, Daniel, Loretta G. Que, Cynthia W. Baffi, et al.. (2016). l‐citrulline prevents asymmetric dimethylarginine‐mediated reductions in nitric oxide and nitrosative stress in primary human airway epithelial cells. Clinical & Experimental Allergy. 47(2). 190–199. 30 indexed citations
9.
Tyurina, Yulia Y., Elisabete Maciel, Vladimir A. Tyurin, et al.. (2015). LC/MS analysis of cardiolipins in substantia nigra and plasma of rotenone-treated rats: Implication for mitochondrial dysfunction in Parkinson's disease. Free Radical Research. 49(5). 681–691. 66 indexed citations
10.
Baffi, Cynthia W., Daniel Winnica, & Fernando Holguín. (2015). Asthma and obesity: mechanisms and clinical implications. PubMed. 1(1). 1–1. 86 indexed citations
11.
Tyurin, Vladimir A., Balasubramanian Kandasubramanian, Daniel Winnica, et al.. (2014). Oxidatively modified phosphatidylserines on the surface of apoptotic cells are essential phagocytic ‘eat-me’ signals: cleavage and inhibition of phagocytosis by Lp-PLA2. Cell Death and Differentiation. 21(5). 825–835. 75 indexed citations
12.
Njah, Joel, Michelangelo Di Giuseppe, Daniel Winnica, et al.. (2014). TNFR1/Phox Interaction and TNFR1 Mitochondrial Translocation Thwart Silica-Induced Pulmonary Fibrosis. The Journal of Immunology. 192(8). 3837–3846. 35 indexed citations
13.
Kapralov, Alexandr A., Wei Feng, Andrew A. Amoscato, et al.. (2012). Adsorption of Surfactant Lipids by Single-Walled Carbon Nanotubes in Mouse Lung upon Pharyngeal Aspiration. ACS Nano. 6(5). 4147–4156. 147 indexed citations
14.
Ortiz, Luis A., et al.. (2011). The Mesenchymal Stem Cell (MSC) Secretome Involves Mitochondrial Transfer. A3768–A3768. 1 indexed citations
15.
Winnica, Daniel, et al.. (2010). Covalent Modifications of Hemoglobin by Nitrite Anion: Formation Kinetics and Properties of Nitrihemoglobin. Chemical Research in Toxicology. 23(11). 1786–1795. 14 indexed citations
16.
17.
Basova, Liana, Igor V. Kurnikov, Lei Wang, et al.. (2007). Cardiolipin Switch in Mitochondria:  Shutting off the Reduction of Cytochrome c and Turning on the Peroxidase Activity. Biochemistry. 46(11). 3423–3434. 178 indexed citations
18.
Winnica, Daniel, et al.. (2000). Trypsin/Acrosin Inhibitor Activity of Rat and Guinea Pig Caltrin Proteins. Structural and Functional Studies1. Biology of Reproduction. 63(1). 42–48. 16 indexed citations
19.
Coronel, Carlos E., et al.. (1993). Isolation and Characterization of a 54-Kilodalton Precursor of Caltrin, the Calcium Transport Inhibitor Protein from Seminal Vesicles of the Rat1. Biology of Reproduction. 48(6). 1326–1333. 9 indexed citations
20.
Coronel, Carlos E., et al.. (1992). Purification, structure, and characterization of caltrin proteins from seminal vesicle of the rat and mouse.. Journal of Biological Chemistry. 267(29). 20909–20915. 41 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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