Andrew R. Haas
- Pulmonary and Respiratory Medicine top 1%
- Oncology top 1%
- Molecular Biology top 5%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Steven Μ. AlbeldaRonald G. CollmanKyle BittingerFrederic D. BushmanCarl H. JuneEmily S. CharlsonAnjana YadavAyannah S. Fitzgerald
- Topics
- Tracheal and airway disorders (30 papers)Pleural and Pulmonary Diseases (26 papers)Lung Cancer Diagnosis and Treatment (20 papers)
- Journals
- Journal of Clinical OncologyPLoS ONEAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- United StatesGermanySlovakia
In The Last Decade
Andrew R. Haas
103 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Pulmonary and Respiratory Medicine 1.8k
- Oncology 1.8k
- Molecular Biology 1.5k
- Immunology 730
- Genetics 691
Countries citing papers authored by Andrew R. Haas
This map shows the geographic impact of Andrew R. Haas'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 Andrew R. Haas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew R. Haas more than expected).
Fields of papers citing papers by Andrew R. Haas
This network shows the impact of papers produced by Andrew R. Haas. 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 Andrew R. Haas. The network helps show where Andrew R. Haas may publish in the future.
Co-authorship network of co-authors of Andrew R. Haas
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew R. Haas. A scholar is included among the top collaborators of Andrew R. Haas 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 Andrew R. Haas. Andrew R. Haas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 18 | |
| 8 | 14 | |
| 9 | 74 | |
| 10 | 1 | |
| 11 | 149 | |
| 12 | Mesothelin-Specific Chimeric Antigen Receptor mRNA-Engineered T Cells Induce Antitumor Activity in Solid Malignanciesbreakdown → | 693 |
| 13 | 78 | |
| 14 | 246 | |
| 15 | Topographical Continuity of Bacterial Populations in the Healthy Human Respiratory Tractbreakdown → | 814 |
| 16 | 72 | |
| 17 | 48 | |
| 18 | 71 | |
| 19 | 37 | |
| 20 | 24 |
About Andrew R. Haas
Andrew R. Haas is a scholar working on Pulmonary and Respiratory Medicine, Anesthesiology and Pain Medicine and Critical Care and Intensive Care Medicine, having authored 106 papers that have together received 5.2k indexed citations. Recurring topics across this work include Tracheal and airway disorders (30 papers), Pleural and Pulmonary Diseases (26 papers) and Lung Cancer Diagnosis and Treatment (20 papers). The work is most often cited by research in Oncology (1.8k citations), Pulmonary and Respiratory Medicine (1.8k citations) and Anesthesiology and Pain Medicine (238 citations). Andrew R. Haas has collaborated with scholars based in United States, Germany and Slovakia. Frequent co-authors include Steven Μ. Albelda, Ronald G. Collman, Kyle Bittinger, Frederic D. Bushman, Carl H. June, Emily S. Charlson, Anjana Yadav, Ayannah S. Fitzgerald, Gregory L. Beatty and Bruce L. Levine. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Respiratory 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.