Daniel J. Appelrouth
Impact in
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- Inflammatory mediators and NSAID effects
- Pharmacological Effects of Natural Compounds
- Drug-Induced Adverse Reactions
- Pharmacogenetics and Drug Metabolism
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- Spondyloarthritis Studies and Treatments
- Rheumatoid Arthritis Research and Therapies
Papers in
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- Inflammatory mediators and NSAID effects 3
- Drug-Induced Adverse Reactions 2
- Pharmacological Effects of Natural Compounds 1
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- Respiratory and Cough-Related Research 2
- Pulmonary Hypertension Research and Treatments 1
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 1
- Co-authors
- Fredrica E. Smith (2 shared papers)Bernard F. Germain (2 shared papers)Jeffrey L. Miller (1 shared paper)Mark H. Cohen (2 shared papers)Rowland W. Chang (2 shared papers)Sanford Baim (1 shared paper)J. Timothy Harrington (1 shared paper)Robert P. Searles (1 shared paper)
- Journals
- The American Journal of Medicine (2 papers)Seminars in Arthritis and Rheumatism (1 paper)Current Therapeutic Research (1 paper)PubMed (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel J. Appelrouth
5 papers receiving 57 citations
Peers
Comparison fields: 5 of 32
- Pharmacology 38
- Pharmacology 12
- Rheumatology 19
- Analytical Chemistry 12
- Physiology 16
Countries citing papers authored by Daniel J. Appelrouth
This map shows the geographic impact of Daniel J. Appelrouth'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 Daniel J. Appelrouth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Appelrouth more than expected).
Fields of papers citing papers by Daniel J. Appelrouth
This network shows the impact of papers produced by Daniel J. Appelrouth. 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 Daniel J. Appelrouth. The network helps show where Daniel J. Appelrouth may publish in the future.
Co-authors
The 17 scholars most cited alongside Daniel J. Appelrouth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1987 | 19 | |
| 2 | 1987 | 16 | |
| 3 | Pulmonary manifestations of ankylosing spondylitis. | 1975 | 14 |
| 4 | 1986 | 10 | |
| 5 | 1994 | 8 |
About Daniel J. Appelrouth
Daniel J. Appelrouth is a scholar working on Pharmacology, Pulmonary and Respiratory Medicine, Rheumatology, Physiology and Pharmacology, having authored 5 papers that have together received 67 indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (3 papers), Respiratory and Cough-Related Research (2 papers), Drug-Induced Adverse Reactions (2 papers), Spondyloarthritis Studies and Treatments (1 paper), Pharmacological Effects of Natural Compounds (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Asthma and respiratory diseases (1 paper) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (1 paper). The work is most often cited by research in Pharmacology (38 citations), Pharmacology (12 citations), Rheumatology (19 citations), Analytical Chemistry (12 citations) and Physiology (16 citations). Daniel J. Appelrouth has collaborated with scholars based in United States. Frequent co-authors include Fredrica E. Smith, Bernard F. Germain, Jeffrey L. Miller, Mark H. Cohen, Rowland W. Chang, Sanford Baim, J. Timothy Harrington, Robert P. Searles, Nathan Wei and A. C. Kennedy. Their work appears in journals such as The American Journal of Medicine, Seminars in Arthritis and Rheumatism, Current Therapeutic Research and PubMed.
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.