Daniel P. Cook

538 citations
17 papers · 369 · h-index 9

Impact in

Papers in

    • Cystic Fibrosis Research Advances 6
    • Neonatal Respiratory Health Research 6
    • Tracheal and airway disorders 5
    • Chronic Obstructive Pulmonary Disease (COPD) Research 2
    • Pulmonary Hypertension Research and Treatments 2
    • Asthma and respiratory diseases 6

Daniel P. Cook

16 papers receiving 367 citations

Peers

Daniel P. Cook
Comparison fields: 5 of 68
  • Pulmonary and Respiratory Medicine 202
  • Aging 8
  • Physiology 84
  • Rehabilitation 14
  • Molecular Biology 126
Replace Jee-Young Jasmine Choi with:
Jee-Young Jasmine Choi South Korea
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Salvo Paesano Switzerland
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Daniel P. Cook relative to Jee-Young Jasmine Choi South Korea Jee-Young Jasmine Choi's profile →
Citations per field
00.5×6.4×
Jee-Young Jasmine Choi · 1×
Citations per year

Countries citing papers authored by Daniel P. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel P. Cook, 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 P. Cook Line = papers co-authored together Daniel P. Cook links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2017109
2 2014105
3 201553
4 201828
5 201915
6 202311
7 20119
8 20218
9 20228
10 20177
11 20175
12
CFTR in Sarcoplasmic Reticulum of Airway Smooth Muscle: Implications for Airway Contractility
20154
13 20252
14 20162
15 20252
16 20211
17 20250

About Daniel P. Cook

Daniel P. Cook is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Surgery, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 17 papers that have together received 369 indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (6 papers), Asthma and respiratory diseases (6 papers), Neonatal Respiratory Health Research (6 papers), Tracheal and airway disorders (5 papers), IL-33, ST2, and ILC Pathways (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Pulmonary Hypertension Research and Treatments (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (202 citations), Aging (8 citations), Physiology (84 citations), Rehabilitation (14 citations) and Molecular Biology (126 citations). Daniel P. Cook has collaborated with scholars based in United States, Canada and Myanmar. Frequent co-authors include David A. Stoltz, David K. Meyerholz, Steven D. Kunkel, Michael C. Dyle, Daniel K. Fox, Kale S. Bongers, Scott M. Ebert, Drake C. Bouzek, Jason M. Dierdorff and Steven A. Bullard. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, JCI Insight, The Journal of Immunology, Journal of Applied Physiology and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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