Philip J. Clements
- Pathology and Forensic Medicine top 0.05%
- Pulmonary and Respiratory Medicine top 0.5%
- Dermatology top 0.1%
- Epidemiology top 1%
- Immunology top 1%
- Co-authors
- Daniel E. FurstDinesh KhannaDaniel E. FürstDonald P. TashkinHarold E. PaulusMaureen D. MayesPeter A. LachenbruchMichael D. Roth
- Topics
- Systemic Sclerosis and Related Diseases (119 papers)Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (56 papers)Inflammatory Myopathies and Dermatomyositis (35 papers)
- Journals
- The LancetJournal of Clinical InvestigationSHILAP Revista de lepidopterología
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Philip J. Clements
170 papers receiving 8.6k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Pathology and Forensic Medicine 6.1k
- Pulmonary and Respiratory Medicine 3.4k
- Dermatology 2.0k
- Epidemiology 2.0k
- Immunology 1.7k
Countries citing papers authored by Philip J. Clements
This map shows the geographic impact of Philip J. Clements'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 Philip J. Clements with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Clements more than expected).
Fields of papers citing papers by Philip J. Clements
This network shows the impact of papers produced by Philip J. Clements. 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 Philip J. Clements. The network helps show where Philip J. Clements may publish in the future.
Co-authorship network of co-authors of Philip J. Clements
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Clements. A scholar is included among the top collaborators of Philip J. Clements 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 Philip J. Clements. Philip J. Clements is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 86 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 65 | |
| 6 | 54 | |
| 7 | 2 | |
| 8 | 34 | |
| 9 | 66 | |
| 10 | 65 | |
| 11 | 51 | |
| 12 | 82 | |
| 13 | 92 | |
| 14 | 47 | |
| 15 | 23 | |
| 16 | 44 | |
| 17 | Comparison of aminobenzoate potassium and placebo in the treatment of scleroderma. | 13 |
| 18 | 7 | |
| 19 | 31 | |
| 20 | 245 |
About Philip J. Clements
Philip J. Clements is a scholar working on Pathology and Forensic Medicine, Dermatology and Pulmonary and Respiratory Medicine, having authored 174 papers that have together received 9.0k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (119 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (56 papers) and Inflammatory Myopathies and Dermatomyositis (35 papers). The work is most often cited by research in Pathology and Forensic Medicine (6.1k citations), Dermatology (2.0k citations) and Pulmonary and Respiratory Medicine (3.4k citations). Philip J. Clements has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Daniel E. Furst, Dinesh Khanna, Daniel E. Fürst, Donald P. Tashkin, Harold E. Paulus, Maureen D. Mayes, Peter A. Lachenbruch, Michael D. Roth, James R. Seibold and David Tak Yan Yu. Their work appears in journals such as The Lancet, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.