Eric Patterson
Impact in
- Toxicology top 5%
- Bioactive Compounds and Antitumor Agents
Papers in
-
- Multilevel Inverters and Converters 3
- Advanced DC-DC Converters 3
- Silicon Carbide Semiconductor Technologies 3
-
- Receptor Mechanisms and Signaling 2
- Co-authors
- Manzoor M. Khan (6 shared papers)Thomas H. Rosenquist (2 shared papers)Preston F. Gadson (2 shared papers)Jack D. Keene (1 shared paper)Osamu Koiwai (1 shared paper)Kosuke Okada (1 shared paper)Eigil Kjeldsen (1 shared paper)Ken Nishikawa (1 shared paper)
- Journals
- International Immunopharmacology (4 papers)Experimental Cell Research (2 papers)Annals of the New York Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Microprocessors and Microsystems (1 paper)
- Partner nations
- United StatesUnited KingdomDenmark
In The Last Decade
Eric Patterson
15 papers receiving 351 citations
Peers
Comparison fields: 5 of 69
- Toxicology 37
- Immunology and Allergy 26
- Immunology 75
- Molecular Biology 224
- Oncology 77
Countries citing papers authored by Eric Patterson
This map shows the geographic impact of Eric Patterson'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 Eric Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Patterson more than expected).
Fields of papers citing papers by Eric Patterson
This network shows the impact of papers produced by Eric Patterson. 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 Eric Patterson. The network helps show where Eric Patterson may publish in the future.
Co-authors
The 23 scholars most cited alongside Eric Patterson, 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 | 1991 | 131 | |
| 2 | 1997 | 83 | |
| 3 | 1996 | 40 | |
| 4 | 2005 | 20 | |
| 5 | 1999 | 20 | |
| 6 | 2001 | 17 | |
| 7 | 1996 | 12 | |
| 8 | 2006 | 10 | |
| 9 | 2005 | 10 | |
| 10 | Total digital ASIC control for an induction motor drive | 1992 | 4 |
| 11 | 1990 | 3 | |
| 12 | 2015 | 3 | |
| 13 | ASIC control strategies for cycloconverter induction motor drives | 1990 | 2 |
| 14 | 1992 | 1 | |
| 15 | 2002 | 1 | |
| 16 | 2003 | 0 |
About Eric Patterson
Eric Patterson is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Physiology, Immunology and Oncology, having authored 16 papers that have together received 357 indexed citations. Recurring topics across this work include Mast cells and histamine (5 papers), Asthma and respiratory diseases (4 papers), Multilevel Inverters and Converters (3 papers), Advanced DC-DC Converters (3 papers), Silicon Carbide Semiconductor Technologies (3 papers), Urticaria and Related Conditions (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Toxicology (37 citations), Immunology and Allergy (26 citations), Immunology (75 citations), Molecular Biology (224 citations) and Oncology (77 citations). Eric Patterson has collaborated with scholars based in United States, United Kingdom and Denmark. Frequent co-authors include Manzoor M. Khan, Thomas H. Rosenquist, Preston F. Gadson, Jack D. Keene, Osamu Koiwai, Kosuke Okada, Eigil Kjeldsen, Ken Nishikawa, Toshiwo Andoh and Hiro-omi Tamura. Their work appears in journals such as International Immunopharmacology, Experimental Cell Research, Annals of the New York Academy of Sciences, Nucleic Acids Research and Microprocessors and Microsystems.
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.