Richard J. Kulmacz
- Pharmacology top 0.1%
- Inflammatory mediators and NSAID effects 79
- Pharmacogenetics and Drug Metabolism 19
- Biochemistry top 0.2%
- Eicosanoids and Hypertension Pharmacology 24
- Pharmacology top 0.5%
- Inflammatory mediators and NSAID effects 79
- Pharmacogenetics and Drug Metabolism 19
- Inorganic Chemistry top 2%
- Metal-Catalyzed Oxygenation Mechanisms 9
- Genetics top 2%
- Estrogen and related hormone effects 31
-
- Steroid Chemistry and Biochemistry 16
- Peroxisome Proliferator-Activated Receptors 9
-
- Nitric Oxide and Endothelin Effects 13
- Co-authors
- William E.M. LandsAh‐Lim TsaiAh-Lim TsaiGraham PalmerPaul MarshallLee‐Ho WangAlissa TsaiWilliam L. Smith
- Cited by
- PharmacologyBiochemistry
- Journals
- Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (30 papers)Biochemistry (17 papers)
- Partner nations
- United StatesGermanyNew Zealand
In The Last Decade
Richard J. Kulmacz
114 papers receiving 4.6k citations
Peers
Comparison fields: 5 of 118
- Pharmacology 2.8k
- Biochemistry 1.2k
- Pharmacology 701
- Inorganic Chemistry 514
- Genetics 1.0k
Countries citing papers authored by Richard J. Kulmacz
This map shows the geographic impact of Richard J. Kulmacz'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 J. Kulmacz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard J. Kulmacz more than expected).
Fields of papers citing papers by Richard J. Kulmacz
This network shows the impact of papers produced by Richard J. Kulmacz. 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 J. Kulmacz. The network helps show where Richard J. Kulmacz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Richard J. Kulmacz, 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 | 2018 | 25 | |
| 2 | 2016 | 12 | |
| 3 | 2011 | 6 | |
| 4 | 2010 | 24 | |
| 5 | 2010 | 4 | |
| 6 | 2009 | 81 | |
| 7 | 2005 | 26 | |
| 8 | 2005 | 40 | |
| 9 | 2004 | 24 | |
| 10 | 2004 | 20 | |
| 11 | 2003 | 69 | |
| 12 | 2001 | 26 | |
| 13 | 2000 | 12 | |
| 14 | 1999 | 59 | |
| 15 | 1998 | 35 | |
| 16 | 1997 | 7 | |
| 17 | 1994 | 103 | |
| 18 | 1992 | 103 | |
| 19 | 1990 | 11 | |
| 20 | 1987 | 49 |
About Richard J. Kulmacz
Richard J. Kulmacz is a scholar working on Pharmacology, Biochemistry and Pharmacology, having authored 114 papers that have together received 4.7k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (79 papers), Estrogen and related hormone effects (31 papers), Eicosanoids and Hypertension Pharmacology (24 papers), Pharmacogenetics and Drug Metabolism (19 papers), Steroid Chemistry and Biochemistry (16 papers), Nitric Oxide and Endothelin Effects (13 papers), Metal-Catalyzed Oxygenation Mechanisms (9 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). The work is most often cited by research in Pharmacology (2.8k citations), Biochemistry (1.2k citations) and Pharmacology (701 citations). Richard J. Kulmacz has collaborated with scholars based in United States, Germany and New Zealand. Frequent co-authors include William E.M. Lands, Ah‐Lim Tsai, Ah-Lim Tsai, Graham Palmer, Paul Marshall, Lee‐Ho Wang, Alissa Tsai, William L. Smith, Wilfred A. van der Donk and G Palmer. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.
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.