Richard A. Earl
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Oncology top 5%
- Cellular and Molecular Neuroscience top 5%
- Immunology top 5%
- Co-authors
- Elizabeth J. ManosJames M. TrzăskosKurumi Y. HoriuchiFrank W. HobbsRobert A. CopelandRonald L. MagoldaPeggy ScherleMargaret Favata
- Topics
- Soil Mechanics and Vehicle Dynamics (9 papers)Soil Geostatistics and Mapping (6 papers)Inflammatory mediators and NSAID effects (6 papers)
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryJournal of Medicinal Chemistry
- Partner nations
- United StatesUnited KingdomGreece
In The Last Decade
Richard A. Earl
62 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 2.1k
- Organic Chemistry 537
- Oncology 525
- Cellular and Molecular Neuroscience 463
- Immunology 437
Countries citing papers authored by Richard A. Earl
This map shows the geographic impact of Richard A. Earl'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 Richard A. Earl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard A. Earl more than expected).
Fields of papers citing papers by Richard A. Earl
This network shows the impact of papers produced by Richard A. Earl. 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 Richard A. Earl. The network helps show where Richard A. Earl may publish in the future.
Co-authorship network of co-authors of Richard A. Earl
This figure shows the co-authorship network connecting the top 25 collaborators of Richard A. Earl. A scholar is included among the top collaborators of Richard A. Earl 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 Richard A. Earl. Richard A. Earl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 43 | |
| 7 | 0 | |
| 8 | 31 | |
| 9 | 81 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | Nitrogen management strategies for precision farming. | 5 |
| 13 | Identification of a Novel Inhibitor of Mitogen-activated Protein Kinase Kinasebreakdown → | 2750 |
| 14 | 115 | |
| 15 | 38 | |
| 16 | 69 | |
| 17 | 18 | |
| 18 | RESPONSE OF ALLIGATOR JUNIPER (JUNIPERUS DEPPEANA PINACEAE) TO HISTORIC ENVIRONMENTAL VARIABILITY IN SOUTH CENTRAL NEW MEXICO | 2 |
| 19 | 2 | |
| 20 | 20 |
About Richard A. Earl
Richard A. Earl is a scholar working on Theoretical Computer Science, Pharmacology and Organic Chemistry, having authored 65 papers that have together received 4.2k indexed citations. Recurring topics across this work include Soil Mechanics and Vehicle Dynamics (9 papers), Soil Geostatistics and Mapping (6 papers) and Inflammatory mediators and NSAID effects (6 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cellular and Molecular Neuroscience (463 citations) and Soil Science (226 citations). Richard A. Earl has collaborated with scholars based in United States, United Kingdom and Greece. Frequent co-authors include Elizabeth J. Manos, James M. Trzăskos, Kurumi Y. Horiuchi, Frank W. Hobbs, Robert A. Copeland, Ronald L. Magolda, Peggy Scherle, Margaret Favata, William J. Pitts and Drew E. Van Dyk. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Medicinal Chemistry.
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.