Jay Z. Parrish
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
- Neuroscience and Neuropharmacology Research
Papers in
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- Neurobiology and Insect Physiology Research 20
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- DNA Repair Mechanisms 5
- Developmental Biology and Gene Regulation 3
- Co-authors
- Yuh Nung Jan (7 shared papers)Ding Xue (5 shared papers)Lily Yeh Jan (6 shared papers)Kazuo Emoto (6 shared papers)Michael D. Kim (4 shared papers)Charles C. Kim (9 shared papers)Claire Williams (9 shared papers)Lily Li (1 shared paper)
- Journals
- Genes & Development (3 papers)Neuron (3 papers)BMC Bioinformatics (3 papers)Development (2 papers)Cell Reports (2 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Jay Z. Parrish
36 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Aging 203
- Cellular and Molecular Neuroscience 667
- Cell Biology 418
- Developmental Neuroscience 97
- Molecular Biology 1.4k
Countries citing papers authored by Jay Z. Parrish
This map shows the geographic impact of Jay Z. Parrish'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 Z. Parrish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Z. Parrish more than expected).
Fields of papers citing papers by Jay Z. Parrish
This network shows the impact of papers produced by Jay Z. Parrish. 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 Z. Parrish. The network helps show where Jay Z. Parrish may publish in the future.
Co-authors
The 25 scholars most cited alongside Jay Z. Parrish, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 360 | |
| 2 | 2007 | 213 | |
| 3 | 2006 | 163 | |
| 4 | 2006 | 154 | |
| 5 | 2009 | 138 | |
| 6 | 2004 | 131 | |
| 7 | 2016 | 123 | |
| 8 | 2003 | 117 | |
| 9 | 2003 | 110 | |
| 10 | 2018 | 68 | |
| 11 | 2018 | 53 | |
| 12 | 2017 | 52 | |
| 13 | 2007 | 51 | |
| 14 | 2018 | 50 | |
| 15 | 2018 | 43 | |
| 16 | 2000 | 43 | |
| 17 | 2011 | 41 | |
| 18 | 2016 | 40 | |
| 19 | 2014 | 39 | |
| 20 | 2006 | 39 |
About Jay Z. Parrish
Jay Z. Parrish is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Immunology, Cell Biology and Aging, having authored 37 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (20 papers), Invertebrate Immune Response Mechanisms (8 papers), DNA Repair Mechanisms (5 papers), Cellular transport and secretion (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Cellular Mechanics and Interactions (3 papers), Developmental Biology and Gene Regulation (3 papers) and Plant Molecular Biology Research (3 papers). The work is most often cited by research in Aging (203 citations), Cellular and Molecular Neuroscience (667 citations), Cell Biology (418 citations), Developmental Neuroscience (97 citations) and Molecular Biology (1.4k citations). Jay Z. Parrish has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Yuh Nung Jan, Ding Xue, Lily Yeh Jan, Kazuo Emoto, Michael D. Kim, Charles C. Kim, Claire Williams, Lily Li, Xiaodong Wang and Alyssa Baccarella. Their work appears in journals such as Genes & Development, Neuron, BMC Bioinformatics, Development and Cell Reports.
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.