Danielle J. Padilla-Carlin
- Pulmonary and Respiratory Medicine
- Infectious Diseases
- Epidemiology
- Public Health, Environmental and Occupational Health
- Molecular Biology
- Co-authors
- Anthony J. HickeyDavid N. McMurrayMette C. SchladweilerStephen H. GavettUrmila P. KodavantiJonathan H. ShannahanAbraham NyskaAndrew J. Ghio
- Topics
- Occupational and environmental lung diseases (5 papers)Occupational exposure and asthma (3 papers)Air Quality and Health Impacts (2 papers)
- Partner nations
- United StatesIsraelIreland
In The Last Decade
Danielle J. Padilla-Carlin
9 papers receiving 287 citations
Peers
Comparison fields: 5 of 71
- Pulmonary and Respiratory Medicine 98
- Infectious Diseases 70
- Epidemiology 67
- Public Health, Environmental and Occupational Health 59
- Molecular Biology 51
Countries citing papers authored by Danielle J. Padilla-Carlin
This map shows the geographic impact of Danielle J. Padilla-Carlin'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 Danielle J. Padilla-Carlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle J. Padilla-Carlin more than expected).
Fields of papers citing papers by Danielle J. Padilla-Carlin
This network shows the impact of papers produced by Danielle J. Padilla-Carlin. 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 Danielle J. Padilla-Carlin. The network helps show where Danielle J. Padilla-Carlin may publish in the future.
Co-authorship network of co-authors of Danielle J. Padilla-Carlin
This figure shows the co-authorship network connecting the top 25 collaborators of Danielle J. Padilla-Carlin. A scholar is included among the top collaborators of Danielle J. Padilla-Carlin 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 Danielle J. Padilla-Carlin. Danielle J. Padilla-Carlin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 20 | |
| 3 | 18 | |
| 4 | 14 | |
| 5 | 8 | |
| 6 | 20 | |
| 7 | 23 | |
| 8 | 1 | |
| 9 | The guinea pig as a model of infectious diseases. | 147 |
About Danielle J. Padilla-Carlin
Danielle J. Padilla-Carlin is a scholar working on Pulmonary and Respiratory Medicine, Molecular Medicine and Microbiology, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Occupational and environmental lung diseases (5 papers), Occupational exposure and asthma (3 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Infectious Diseases (70 citations), Pharmaceutical Science (22 citations) and Small Animals (26 citations). Danielle J. Padilla-Carlin has collaborated with scholars based in United States, Israel and Ireland. Frequent co-authors include Anthony J. Hickey, David N. McMurray, Mette C. Schladweiler, Stephen H. Gavett, Urmila P. Kodavanti, Jonathan H. Shannahan, Abraham Nyska, Andrew J. Ghio, Eugene A. Gibbs-Flournoy and Lyle D. Burgoon. Their work appears in journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences and Toxicological Sciences.
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.