Hugh L. Preas
- Pulmonary and Respiratory Medicine top 10%
- Immunology top 10%
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Physiology
- Co-authors
- Anthony F. SuffrediniSteven M. BanksJérôme PuginDebra RedaMargaret TropeaPaul GodinNaomi P. O’GradyS de Kossodo
- Topics
- Immune Response and Inflammation (4 papers)Respiratory Support and Mechanisms (3 papers)Heart Rate Variability and Autonomic Control (3 papers)
- Cited by
- Endocrine and Autonomic SystemsCritical Care and Intensive Care MedicineBehavioral Neuroscience
- Journals
- American Journal of Respiratory and Critical Care MedicineThe Journal of Infectious DiseasesCritical Care Medicine
- Partner nations
- United StatesSwitzerlandRussia
In The Last Decade
Hugh L. Preas
10 papers receiving 833 citations
Peers
Comparison fields: 5 of 104
- Pulmonary and Respiratory Medicine 227
- Immunology 220
- Epidemiology 213
- Cardiology and Cardiovascular Medicine 163
- Physiology 135
Countries citing papers authored by Hugh L. Preas
This map shows the geographic impact of Hugh L. Preas'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 Hugh L. Preas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hugh L. Preas more than expected).
Fields of papers citing papers by Hugh L. Preas
This network shows the impact of papers produced by Hugh L. Preas. 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 Hugh L. Preas. The network helps show where Hugh L. Preas may publish in the future.
Co-authorship network of co-authors of Hugh L. Preas
This figure shows the co-authorship network connecting the top 25 collaborators of Hugh L. Preas. A scholar is included among the top collaborators of Hugh L. Preas 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 Hugh L. Preas. Hugh L. Preas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 181 | |
| 2 | 71 | |
| 3 | 65 | |
| 4 | 14 | |
| 5 | 186 | |
| 6 | 76 | |
| 7 | 33 | |
| 8 | 58 | |
| 9 | 170 | |
| 10 | 2 |
About Hugh L. Preas
Hugh L. Preas is a scholar working on Behavioral Neuroscience, Immunology and Endocrine and Autonomic Systems, having authored 10 papers that have together received 856 indexed citations. Recurring topics across this work include Immune Response and Inflammation (4 papers), Respiratory Support and Mechanisms (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (84 citations), Critical Care and Intensive Care Medicine (63 citations) and Behavioral Neuroscience (39 citations). Hugh L. Preas has collaborated with scholars based in United States, Switzerland and Russia. Frequent co-authors include Anthony F. Suffredini, Steven M. Banks, Jérôme Pugin, Debra Reda, Margaret Tropea, Paul Godin, Naomi P. O’Grady, S de Kossodo, R. William Vandivier and Alec Eidsath. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, The Journal of Infectious Diseases and Critical Care Medicine.
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.