Jeffrey T. Chapman
- Physiology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Epidemiology top 5%
- Rheumatology top 5%
- Surgery
- Co-authors
- Augustine M.K. ChoiAtul C. MehtaDaniel A. CulverLeo E. OtterbeinJack A. EliasJoseph G. ParambilStephen H. MorganJoel Moss
- Topics
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers)Tuberous Sclerosis Complex Research (4 papers)Eosinophilic Disorders and Syndromes (4 papers)
- Journals
- Annals of Internal MedicineAmerican Journal of Respiratory and Critical Care MedicineCHEST Journal
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Jeffrey T. Chapman
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 74
- Physiology 689
- Pulmonary and Respiratory Medicine 625
- Epidemiology 476
- Rheumatology 267
- Surgery 259
Countries citing papers authored by Jeffrey T. Chapman
This map shows the geographic impact of Jeffrey T. Chapman'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 Jeffrey T. Chapman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey T. Chapman more than expected).
Fields of papers citing papers by Jeffrey T. Chapman
This network shows the impact of papers produced by Jeffrey T. Chapman. 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 Jeffrey T. Chapman. The network helps show where Jeffrey T. Chapman may publish in the future.
Co-authorship network of co-authors of Jeffrey T. Chapman
This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey T. Chapman. A scholar is included among the top collaborators of Jeffrey T. Chapman 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 Jeffrey T. Chapman. Jeffrey T. Chapman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 5 | |
| 3 | 25 | |
| 4 | 82 | |
| 5 | 135 | |
| 6 | 25 | |
| 7 | 10 | |
| 8 | 113 | |
| 9 | 32 | |
| 10 | 81 | |
| 11 | 33 | |
| 12 | 305 | |
| 13 | 29 | |
| 14 | 67 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 43 | |
| 18 | 15 | |
| 19 | 121 | |
| 20 | 177 |
About Jeffrey T. Chapman
Jeffrey T. Chapman is a scholar working on Transplantation, Pulmonary and Respiratory Medicine and Physiology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (8 papers), Tuberous Sclerosis Complex Research (4 papers) and Eosinophilic Disorders and Syndromes (4 papers). The work is most often cited by research in Physiology (689 citations), Transplantation (70 citations) and Pulmonary and Respiratory Medicine (625 citations). Jeffrey T. Chapman has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Augustine M.K. Choi, Atul C. Mehta, Daniel A. Culver, Leo E. Otterbein, Jack A. Elias, Joseph G. Parambil, Stephen H. Morgan, Joel Moss, Kevin K. Brown and Michael B. Mathews. Their work appears in journals such as Annals of Internal Medicine, American Journal of Respiratory and Critical Care Medicine and CHEST Journal.
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.