Gregory J. Omlor

470 total citations
10 papers, 89 citations indexed

About

Gregory J. Omlor is a scholar working on Pulmonary and Respiratory Medicine, Speech and Hearing and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gregory J. Omlor has authored 10 papers receiving a total of 89 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pulmonary and Respiratory Medicine, 4 papers in Speech and Hearing and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gregory J. Omlor's work include Cystic Fibrosis Research Advances (5 papers), Adolescent and Pediatric Healthcare (4 papers) and Neuropeptides and Animal Physiology (2 papers). Gregory J. Omlor is often cited by papers focused on Cystic Fibrosis Research Advances (5 papers), Adolescent and Pediatric Healthcare (4 papers) and Neuropeptides and Animal Physiology (2 papers). Gregory J. Omlor collaborates with scholars based in United States. Gregory J. Omlor's co-authors include Beth G. Wildman, Benjamin H. Newberry, Craig M. Schramm, James P. Noveral, G. D. Niehaus, M. B. Maron, Kristin A. Riekert, Alex H. Gifford, Margaret Kloster and David P. Nichols and has published in prestigious journals such as Journal of Applied Physiology, Life Sciences and The Pediatric Infectious Disease Journal.

In The Last Decade

Gregory J. Omlor

10 papers receiving 86 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gregory J. Omlor United States 6 48 20 13 10 10 10 89
Sue Cole United Kingdom 3 42 0.9× 37 1.9× 9 0.7× 6 0.6× 1 0.1× 4 73
Vinh Nguyen‐Nhu Vietnam 6 109 2.3× 104 5.2× 4 0.3× 6 0.6× 2 0.2× 25 183
Mirthe E. van der Valk Netherlands 4 18 0.4× 4 0.2× 14 1.1× 8 0.8× 7 0.7× 11 82
Iida Vähätalo Finland 8 122 2.5× 147 7.3× 12 0.9× 6 0.6× 2 0.2× 22 184
Ralf J.P. van der Valk Netherlands 3 30 0.6× 52 2.6× 11 0.8× 10 1.0× 4 103
Piotr Łacwik Poland 4 64 1.3× 80 4.0× 9 0.7× 3 0.3× 2 0.2× 7 122
Ulf von Krause Germany 5 5 0.1× 15 0.8× 31 2.4× 7 0.7× 7 0.7× 14 369
Martin Gřiva Czechia 7 31 0.6× 44 2.2× 3 0.2× 3 0.3× 3 0.3× 18 149
Julie Coffey United States 7 7 0.1× 16 0.8× 37 2.8× 8 0.8× 6 0.6× 9 461
K. W. Zimmermann Germany 3 39 0.8× 20 1.0× 25 1.9× 4 0.4× 6 106

Countries citing papers authored by Gregory J. Omlor

Since Specialization
Citations

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

Fields of papers citing papers by Gregory J. Omlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gregory J. Omlor. 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 Gregory J. Omlor. The network helps show where Gregory J. Omlor may publish in the future.

Co-authorship network of co-authors of Gregory J. Omlor

This figure shows the co-authorship network connecting the top 25 collaborators of Gregory J. Omlor. A scholar is included among the top collaborators of Gregory J. Omlor 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 Gregory J. Omlor. Gregory J. Omlor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Gifford, Alex H., Katherine Odem‐Davis, Margaret Kloster, et al.. (2024). Self-reported chronic therapy use after 24-weeks of follow-up by participants who completed the simplify randomized, controlled trial. Journal of Cystic Fibrosis. 24(1). 91–97. 5 indexed citations
2.
Gifford, Alex H., Margaret Kloster, Richard Russell, et al.. (2023). P090 Treatment use among SIMPLIFY trial participants through 24 weeks of follow-up. Journal of Cystic Fibrosis. 22. S91–S91. 1 indexed citations
3.
Wildman, Beth G., et al.. (2017). Understanding Treatment Adherence With the Health Belief Model in Children With Cystic Fibrosis. Health Education & Behavior. 45(3). 435–443. 18 indexed citations
4.
Wildman, Beth G., et al.. (2010). Impact of age and gender on adherence to infection control guidelines and medical regimens in cystic fibrosis. Pediatric Pulmonology. 46(3). 295–301. 32 indexed citations
5.
Wildman, Beth G., et al.. (2008). Compliance in cystic fibrosis: An examination of infection control guidelines. Pediatric Pulmonology. 43(5). 435–442. 7 indexed citations
6.
Lebo, Roger V. & Gregory J. Omlor. (2007). Targeted Extended Cystic Fibrosis Mutation Testing on Known and At-Risk Patients and Relatives. Genetic Testing. 11(4). 427–444. 2 indexed citations
7.
Omlor, Gregory J.. (2001). PULMONARY LYMPHADENOPATHY. The Pediatric Infectious Disease Journal. 20(4). 437–438. 3 indexed citations
8.
Omlor, Gregory J., et al.. (1996). Ontogeny of β-adrenergic desensitization in rabbit tracheal smooth muscle. Pediatric Pulmonology. 22(4). 255–262. 4 indexed citations
9.
Schramm, Craig M., et al.. (1996). Methylprednisolone and isoproterenol inhibit airway smooth muscle proliferation by separate and additive mechanisms. Life Sciences. 59(1). PL9–PL14. 11 indexed citations
10.
Omlor, Gregory J., G. D. Niehaus, & M. B. Maron. (1993). Effect of peak inspiratory pressure on the filtration coefficient in the isolated perfused rat lung. Journal of Applied Physiology. 74(6). 3068–3072. 6 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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