Carl S. Goodyear
- Immunology top 1%
- Molecular Biology top 10%
- Rheumatology top 1%
- Neurology top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Gregg J. SilvermanPeter X. ShawJoseph L. WitztumHugh J. WillisonMi-Kyung ChangChristoph J. BinderAsheesh K. DewanWulf Palinski
- Topics
- Monoclonal and Polyclonal Antibodies Research (19 papers)T-cell and B-cell Immunology (15 papers)Immune Cell Function and Interaction (13 papers)
- Cited by
- ImmunologyRheumatologyNeurology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Medicine
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Carl S. Goodyear
103 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 2.1k
- Molecular Biology 1.2k
- Rheumatology 767
- Neurology 491
- Radiology, Nuclear Medicine and Imaging 451
Countries citing papers authored by Carl S. Goodyear
This map shows the geographic impact of Carl S. Goodyear'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 Carl S. Goodyear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl S. Goodyear more than expected).
Fields of papers citing papers by Carl S. Goodyear
This network shows the impact of papers produced by Carl S. Goodyear. 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 Carl S. Goodyear. The network helps show where Carl S. Goodyear may publish in the future.
Co-authorship network of co-authors of Carl S. Goodyear
This figure shows the co-authorship network connecting the top 25 collaborators of Carl S. Goodyear. A scholar is included among the top collaborators of Carl S. Goodyear 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 Carl S. Goodyear. Carl S. Goodyear 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 35 | |
| 11 | Large-vessel vasculitisbreakdown → | 127 |
| 12 | 16 | |
| 13 | 7 | |
| 14 | 85 | |
| 15 | 63 | |
| 16 | 123 | |
| 17 | 156 | |
| 18 | 22 | |
| 19 | 22 | |
| 20 | 91 |
About Carl S. Goodyear
Carl S. Goodyear is a scholar working on Immunology, Rheumatology and Immunology and Allergy, having authored 110 papers that have together received 4.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (19 papers), T-cell and B-cell Immunology (15 papers) and Immune Cell Function and Interaction (13 papers). The work is most often cited by research in Immunology (2.1k citations), Rheumatology (767 citations) and Neurology (491 citations). Carl S. Goodyear has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Gregg J. Silverman, Peter X. Shaw, Joseph L. Witztum, Hugh J. Willison, Mi-Kyung Chang, Christoph J. Binder, Asheesh K. Dewan, Wulf Palinski, Sohvi Hörkkö and Foo Y. Liew. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature 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.