Jay Z. Parrish
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 4
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- Neurobiology and Insect Physiology Research 19
- Cell Biology top 5%
- Cellular transport and secretion 5
- Developmental Neuroscience top 5%
- Molecular Biology top 5%
- DNA Repair Mechanisms 5
- Developmental Biology and Gene Regulation 3
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- Invertebrate Immune Response Mechanisms 8
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- Mosquito-borne diseases and control 3
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- Plant Molecular Biology Research 3
- Co-authors
- Yuh Nung JanDing XueLily Yeh JanKazuo EmotoMichael D. KimCharles C. KimClaire WilliamsXiaodong Wang
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Jay Z. Parrish
34 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 113
- Aging 194
- Cellular and Molecular Neuroscience 648
- Cell Biology 405
- Developmental Neuroscience 91
- 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2021 | 7 | |
| 4 | 2020 | 14 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 3 | |
| 7 | 2018 | 63 | |
| 8 | 2018 | 40 | |
| 9 | 2018 | 14 | |
| 10 | 2017 | 50 | |
| 11 | 2016 | 40 | |
| 12 | 2016 | 112 | |
| 13 | 2015 | 6 | |
| 14 | 2011 | 40 | |
| 15 | 2009 | 135 | |
| 16 | 2006 | 39 | |
| 17 | 2006 | 160 | |
| 18 | 2003 | 111 | |
| 19 | 2003 | 107 | |
| 20 | 2001 | 333 |
About Jay Z. Parrish
Jay Z. Parrish is a scholar working on Aging, Cellular and Molecular Neuroscience, Structural Biology, Immunology and Cell Biology, having authored 36 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (19 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), Mosquito-borne diseases and control (3 papers), Plant Molecular Biology Research (3 papers) and Developmental Biology and Gene Regulation (3 papers). The work is most often cited by research in Aging (194 citations), Cellular and Molecular Neuroscience (648 citations), Cell Biology (405 citations), Developmental Neuroscience (91 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, Xiaodong Wang, Lily Li and Alyssa Baccarella. Their work appears in journals such as BMC Bioinformatics, Genes & Development, Neuron, Current Biology 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.