Daniel R. Prows

3.3k citations
57 papers · 1.7k · h-index 25

Impact in

Papers in

Daniel R. Prows

57 papers receiving 1.6k citations

Peers

Daniel R. Prows
Comparison fields: 5 of 114
  • Clinical Biochemistry 105
  • Pulmonary and Respiratory Medicine 409
  • Biochemistry 88
  • Health, Toxicology and Mutagenesis 155
  • Molecular Biology 668
Replace Jean-Luc Magnenat with:
Jean-Luc Magnenat Switzerland
J.A. Solís-Herruzo Spain
Kenji Mizumura Japan
H. Carp United States
Shaoxi Cai China
Robert H. Shikes United States
Mitsuyoshi Utsugi Japan
Art J. Heires United States
Srirupa Mukhopadhyay India
Antonio Gnoni Italy
Daniel R. Prows relative to Jean-Luc Magnenat Switzerland Jean-Luc Magnenat's profile →
Citations per field
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Jean-Luc Magnenat · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daniel R. Prows, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel R. Prows Line = papers co-authored together Daniel R. Prows links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996129
2 2002125
3 1995115
4 1997108
5 200277
6 200971
7 200271
8 200863
9 200056
10 199356
11 199652
12 200046
13 201545
14 200538
15 200235
16 200135
17 201134
18 200031
19 199731
20 199929

About Daniel R. Prows

Daniel R. Prows is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Health, Toxicology and Mutagenesis and Immunology, having authored 57 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (11 papers), Neonatal Respiratory Health Research (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Respiratory Support and Mechanisms (7 papers), Air Quality and Health Impacts (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Genetic and phenotypic traits in livestock (5 papers) and Genetic Syndromes and Imprinting (5 papers). The work is most often cited by research in Clinical Biochemistry (105 citations), Pulmonary and Respiratory Medicine (409 citations), Biochemistry (88 citations), Health, Toxicology and Mutagenesis (155 citations) and Molecular Biology (668 citations). Daniel R. Prows has collaborated with scholars based in United States, China and Italy. Frequent 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 Mark J. Daly. Their work appears in journals such as American Journal of Respiratory Cell and Molecular Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Physiological Genomics, Mammalian Genome and PLoS ONE.

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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