Joseph R. Arron
- Physiology top 0.2%
- Immunology top 0.5%
- Molecular Biology top 2%
- Pulmonary and Respiratory Medicine top 0.5%
- Oncology top 1%
- Co-authors
- David F. ChoyYongwon ChoiJeffrey M. HarrisPrescott G. WoodruffGuiquan JiaJohn V. FahyAlexander R. AbbasBrian Wong
- Topics
- Asthma and respiratory diseases (49 papers)IL-33, ST2, and ILC Pathways (27 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (17 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Joseph R. Arron
93 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Physiology 5.0k
- Immunology 4.1k
- Molecular Biology 3.8k
- Pulmonary and Respiratory Medicine 3.8k
- Oncology 1.8k
Countries citing papers authored by Joseph R. Arron
This map shows the geographic impact of Joseph R. Arron'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 Joseph R. Arron with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph R. Arron more than expected).
Fields of papers citing papers by Joseph R. Arron
This network shows the impact of papers produced by Joseph R. Arron. 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 Joseph R. Arron. The network helps show where Joseph R. Arron may publish in the future.
Co-authorship network of co-authors of Joseph R. Arron
This figure shows the co-authorship network connecting the top 25 collaborators of Joseph R. Arron. A scholar is included among the top collaborators of Joseph R. Arron 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 Joseph R. Arron. Joseph R. Arron is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 55 | |
| 3 | 36 | |
| 4 | 44 | |
| 5 | A randomised trial of treatment optimisation in patients with severe asthma using composite type-2 biomarkers to adjust corticosteroid dose versus a symptom/risk-based algorithm | 1 |
| 6 | 98 | |
| 7 | 76 | |
| 8 | 108 | |
| 9 | 24 | |
| 10 | Roles of Periostin in Respiratory Disorders | 2 |
| 11 | 1 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 140 | |
| 15 | Exploring the Effects of Omalizumab in Allergic Asthmabreakdown → | 669 |
| 16 | Increased expression of immunoreactive thymic stromal lymphopoetin in severe asthma | 0 |
| 17 | 199 | |
| 18 | 12 | |
| 19 | 1 | |
| 20 | T-helper Type 2–driven Inflammation Defines Major Subphenotypes of Asthmabreakdown → | 1310 |
About Joseph R. Arron
Joseph R. Arron is a scholar working on Physiology, Immunology and Pulmonary and Respiratory Medicine, having authored 99 papers that have together received 12.2k indexed citations. Recurring topics across this work include Asthma and respiratory diseases (49 papers), IL-33, ST2, and ILC Pathways (27 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (17 papers). The work is most often cited by research in Immunology and Allergy (1.3k citations), Immunology (4.1k citations) and Physiology (5.0k citations). Joseph R. Arron has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include David F. Choy, Yongwon Choi, Jeffrey M. Harris, Prescott G. Woodruff, Guiquan Jia, John V. Fahy, Alexander R. Abbas, Brian Wong, Sofia Mosesova and Hao Wu. Their work appears in journals such as Nature, New England Journal of Medicine and Cell.
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.