Jay S. Kirkwood
- Biological Psychiatry top 10%
- Biochemistry top 10%
- Pharmacology top 10%
- Cannabis and Cannabinoid Research 2
- Hops Chemistry and Applications 2
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- Metabolomics and Mass Spectrometry Studies 2
- Ginseng Biological Effects and Applications 2
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- Immune Cell Function and Interaction 3
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- Vibrio bacteria research studies 2
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- Adipose Tissue and Metabolism 2
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- Vitamin C and Antioxidants Research 2
- Co-authors
- Jan F. StevensNina IsoherranenCorey D. BroecklingGuo ZhongCristobal L. MirandaShipra VaishnavaKellyanne DuncanNamrata Iyer
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Jay S. Kirkwood
20 papers receiving 820 citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 33
- Biochemistry 60
- Pharmacology 66
- Virology 32
- Molecular Biology 398
Countries citing papers authored by Jay S. Kirkwood
This map shows the geographic impact of Jay S. Kirkwood'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 Jay S. Kirkwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay S. Kirkwood more than expected).
Fields of papers citing papers by Jay S. Kirkwood
This network shows the impact of papers produced by Jay S. Kirkwood. 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 Jay S. Kirkwood. The network helps show where Jay S. Kirkwood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jay S. Kirkwood, 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 | 2019 | 6 | |
| 2 | 2019 | 47 | |
| 3 | 2018 | 148 | |
| 4 | 2018 | 15 | |
| 5 | 2018 | 2 | |
| 6 | 2017 | 37 | |
| 7 | 2017 | 80 | |
| 8 | 2016 | 92 | |
| 9 | 2016 | 9 | |
| 10 | 2016 | 25 | |
| 11 | 2016 | 63 | |
| 12 | 2016 | 22 | |
| 13 | 2014 | 21 | |
| 14 | 2013 | 31 | |
| 15 | 2013 | 36 | |
| 16 | 2013 | 71 | |
| 17 | 2013 | 18 | |
| 18 | 2012 | 22 | |
| 19 | 2011 | 53 | |
| 20 | Estrogen receptor concentration and social factors as predictors of natural killer cell activity in early-stage breast cancer patients. Confirmation of a model. | 1990 | 26 |
About Jay S. Kirkwood
Jay S. Kirkwood is a scholar working on Endocrinology, Toxicology and Pharmacology, having authored 20 papers that have together received 824 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Ginseng Biological Effects and Applications (2 papers), Vibrio bacteria research studies (2 papers), Cannabis and Cannabinoid Research (2 papers), Hops Chemistry and Applications (2 papers), Adipose Tissue and Metabolism (2 papers) and Vitamin C and Antioxidants Research (2 papers). The work is most often cited by research in Biological Psychiatry (33 citations), Biochemistry (60 citations) and Pharmacology (66 citations). Jay S. Kirkwood has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Jan F. Stevens, Nina Isoherranen, Corey D. Broeckling, Guo Zhong, Cristobal L. Miranda, Shipra Vaishnava, Kellyanne Duncan, Namrata Iyer, Claudia S. Maier and Yuan Jiang. Their work appears in journals such as Journal of Biological Chemistry, Immunity and PLoS ONE.
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.