Daniel R. Prows

3.3k total citations
56 papers, 1.6k citations indexed

About

Daniel R. Prows is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Daniel R. Prows has authored 56 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 15 papers in Pulmonary and Respiratory Medicine and 15 papers in Genetics. Recurrent topics in Daniel R. Prows's work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Neonatal Respiratory Health Research (10 papers) and Air Quality and Health Impacts (7 papers). Daniel R. Prows is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (11 papers), Neonatal Respiratory Health Research (10 papers) and Air Quality and Health Impacts (7 papers). Daniel R. Prows collaborates with scholars based in United States, China and United Kingdom. Daniel R. Prows's co-authors include George D. Leikauf, Friedhelm Schroeder, Eric J. Murphy, Susan A. McDowell, Thomas R. Korfhagen, Scott C. Wesselkamper, John E. Leikauf, John R. Jefferson, William D. Hardie and Howard G. Shertzer and has published in prestigious journals such as Nature Genetics, Blood and Bioinformatics.

In The Last Decade

Daniel R. Prows

56 papers receiving 1.5k 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 R. Prows United States 23 670 445 200 197 188 56 1.6k
John Zagorski United States 26 932 1.4× 319 0.7× 205 1.0× 434 2.2× 113 0.6× 41 2.1k
A. H. Zwinderman Netherlands 21 497 0.7× 269 0.6× 237 1.2× 245 1.2× 63 0.3× 37 1.8k
Yong‐Dae Kim South Korea 18 385 0.6× 204 0.5× 105 0.5× 148 0.8× 262 1.4× 133 1.2k
Jiaxiang Zhang China 21 504 0.8× 205 0.5× 132 0.7× 362 1.8× 156 0.8× 92 1.4k
Dajing Xia China 12 627 0.9× 131 0.3× 189 0.9× 281 1.4× 159 0.8× 28 1.2k
Hsin Tai Canada 12 453 0.7× 891 2.0× 90 0.5× 338 1.7× 513 2.7× 16 1.8k
Yanqing Liu China 20 645 1.0× 414 0.9× 168 0.8× 262 1.3× 54 0.3× 92 1.7k
Mitsuyoshi Utsugi Japan 22 365 0.5× 379 0.9× 118 0.6× 374 1.9× 282 1.5× 53 1.3k

Countries citing papers authored by Daniel R. Prows

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Prows

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel R. Prows

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Prows. A scholar is included among the top collaborators of Daniel R. Prows 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 R. Prows. Daniel R. Prows 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.
Magnusen, Albert Frank, Reena Rani, Luca Marsili, et al.. (2022). Targeting the Complement–Sphingolipid System in COVID-19 and Gaucher Diseases: Evidence for a New Treatment Strategy. International Journal of Molecular Sciences. 23(22). 14340–14340. 10 indexed citations
2.
Bein, Kiflai, Koustav Ganguly, Vincent J. Concel, et al.. (2020). Genetic determinants of ammonia-induced acute lung injury in mice. American Journal of Physiology-Lung Cellular and Molecular Physiology. 320(1). L41–L62. 10 indexed citations
3.
Zimmermann, Nives, et al.. (2019). Heart disease in a mutant mouse model of spontaneous eosinophilic myocarditis maps to three loci. BMC Genomics. 20(1). 727–727. 3 indexed citations
4.
Gibbons, William E., et al.. (2019). Gpr63 is a modifier of microcephaly in Ttc21b mouse mutants. PLoS Genetics. 15(11). e1008467–e1008467. 5 indexed citations
5.
Moehrle, Bettina, Kalpana Nattamai, Maria Carolina Florian, et al.. (2015). Stem Cell-Specific Mechanisms Ensure Genomic Fidelity within HSCs and upon Aging of HSCs. Cell Reports. 13(11). 2412–2424. 43 indexed citations
6.
Leikauf, George D., Vincent J. Concel, Pengyuan Liu, et al.. (2011). Haplotype Association Mapping of Acute Lung Injury in Mice Implicates Activin A Receptor, Type 1. American Journal of Respiratory and Critical Care Medicine. 183(11). 1499–1509. 33 indexed citations
7.
Wang, Cheng, Zuoheng Wang, Daniel R. Prows, & Rongling Wu. (2011). A computational framework for the inheritance pattern of genomic imprinting for complex traits. Briefings in Bioinformatics. 13(1). 34–45. 14 indexed citations
8.
Piao, Zhongze, Xiaojing Zhou, Li Yan, et al.. (2010). Statistical optimization of parametric accelerated failure time model for mapping survival trait loci. Theoretical and Applied Genetics. 122(5). 855–863. 2 indexed citations
9.
Wang, Chenguang, Zhong Wang, Jiangtao Luo, et al.. (2010). A Model for Transgenerational Imprinting Variation in Complex Traits. PLoS ONE. 5(7). e11396–e11396. 21 indexed citations
10.
Glasser, Stephan W., Albert P. Senft, John E. Baatz, et al.. (2009). Surfactant protein C-deficient mice are susceptible to respiratory syncytial virus infection. American Journal of Physiology-Lung Cellular and Molecular Physiology. 297(1). L64–L72. 68 indexed citations
11.
Glasser, Stephan W., Albert P. Senft, Jeffrey A. Whitsett, et al.. (2008). Macrophage Dysfunction and Susceptibility to Pulmonary Pseudomonas aeruginosa Infection in Surfactant Protein C-Deficient Mice. The Journal of Immunology. 181(1). 621–628. 61 indexed citations
12.
Prows, Cynthia A. & Daniel R. Prows. (2004). Medication Selection by Genotype. AJN American Journal of Nursing. 104(5). 60–70. 13 indexed citations
13.
Prows, Daniel R., Susan A. McDowell, Bruce J. Aronow, & George D. Leikauf. (2003). Genetic susceptibility to nickel-induced acute lung injury. Chemosphere. 51(10). 1139–1148. 22 indexed citations
14.
Prows, Daniel R., et al.. (2002). Parental genetic contributions in the AXB and BXA recombinant inbred mouse strains. Mammalian Genome. 13(3). 127–133. 5 indexed citations
15.
Leikauf, George D., Susan A. McDowell, Scott C. Wesselkamper, et al.. (2002). Acute Lung Injury. CHEST Journal. 121(3). 70S–75S. 113 indexed citations
16.
Leikauf, George D., Susan A. McDowell, Scott C. Wesselkamper, et al.. (2000). Functional Genomics of Particle-Induced Lung Injury. Inhalation Toxicology. 12(sup3). 59–73. 5 indexed citations
17.
Prows, Daniel R., et al.. (1998). Optimizing Drug Therapy Based on Genetic Differences: Implications for the Clinical Setting. AACN Clinical Issues Advanced Practice in Acute & Critical Care. 9(4). 499–512. 3 indexed citations
18.
Prows, Daniel R., Howard G. Shertzer, Mark J. Daly, C L Sidman, & George D. Leikauf. (1997). Genetic analysis of ozone-induced acute lung injury in sensitive and resistant strains of mice. Nature Genetics. 17(4). 471–474. 106 indexed citations
19.
Prows, Daniel R., et al.. (1996). Intestinal fatty acid-binding protein expression stimulates fibroblast fatty acid esterification. Chemistry and Physics of Lipids. 84(1). 47–56. 46 indexed citations
20.
Murphy, Eric J., Daniel R. Prows, John R. Jefferson, & Friedhelm Schroeder. (1996). Liver fatty acid-binding protein expression in transfected fibroblasts stimulates fatty acid uptake and metabolism. Biochimica et Biophysica Acta (BBA) - Lipids and Lipid Metabolism. 1301(3). 191–198. 123 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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