Eric Shen
Impact in
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- Pulmonary Hypertension Research and Treatments
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Inhalation and Respiratory Drug Delivery
- Chronic Obstructive Pulmonary Disease (COPD) Research
Papers in
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- Pulmonary Hypertension Research and Treatments 23
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
-
- Statistical Methods in Clinical Trials 1
- Co-authors
- Steven D. Nathan (11 shared papers)Aaron B. Waxman (12 shared papers)Peter Smith (7 shared papers)Victor F. Tapson (7 shared papers)Andrew C. Nelsen (5 shared papers)Christopher S. King (5 shared papers)Amy Hajari Case (2 shared papers)Hilary M. DuBrock (3 shared papers)
- Journals
- CHEST Journal (8 papers)Pulmonary Circulation (4 papers)European Respiratory Journal (1 paper)Annals of the American Thoracic Society (1 paper)Respiratory Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Eric Shen
23 papers receiving 416 citations
Peers
Comparison fields: 5 of 26
- Pulmonary and Respiratory Medicine 413
- Internal Medicine 1
- Biochemistry 2
- Geriatrics and Gerontology 1
- Physiology 7
Countries citing papers authored by Eric Shen
This map shows the geographic impact of Eric Shen'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 Eric Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Shen more than expected).
Fields of papers citing papers by Eric Shen
This network shows the impact of papers produced by Eric Shen. 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 Eric Shen. The network helps show where Eric Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 113 | |
| 2 | 2021 | 59 | |
| 3 | 2023 | 49 | |
| 4 | 2022 | 48 | |
| 5 | 2022 | 30 | |
| 6 | 2021 | 22 | |
| 7 | 2023 | 18 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 16 | |
| 10 | 2019 | 15 | |
| 11 | 2020 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2023 | 4 | |
| 16 | 2019 | 2 | |
| 17 | 2021 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2020 | 1 | |
| 20 | 2021 | 1 |
About Eric Shen
Eric Shen is a scholar working on Pulmonary and Respiratory Medicine, Statistics and Probability, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 24 papers that have together received 433 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (23 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (413 citations), Internal Medicine (1 citation), Biochemistry (2 citations), Geriatrics and Gerontology (1 citation) and Physiology (7 citations). Eric Shen has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Steven D. Nathan, Aaron B. Waxman, Peter Smith, Victor F. Tapson, Andrew C. Nelsen, Christopher S. King, Amy Hajari Case, Hilary M. DuBrock, Sudarshan Rajagopal and Sandeep Sahay. Their work appears in journals such as CHEST Journal, Pulmonary Circulation, European Respiratory Journal, Annals of the American Thoracic Society and Respiratory 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.