Edward Large
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
-
- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 3
- Epigenetics and DNA Methylation 2
- Photosynthetic Processes and Mechanisms 2
- Genetics 8
- Virus-based gene therapy research 5
- Genetic Mapping and Diversity in Plants and Animals 2
- Co-authors
- David S. Fay (2 shared papers)Michael S. Chapman (5 shared papers)Laura D. Mathies (3 shared papers)Walter Chazin (1 shared paper)Brian A. Hemmings (1 shared paper)Claus W. Heizmann (1 shared paper)Shibani Bhattacharya (1 shared paper)Min Han (1 shared paper)
- Journals
- PLoS Genetics (2 papers)American Journal of Veterinary Research (2 papers)Developmental Biology (2 papers)Viruses (2 papers)Frontiers in Microbiology (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
Edward Large
18 papers receiving 440 citations
Peers
Comparison fields: 5 of 72
- Aging 153
- Endocrine and Autonomic Systems 33
- Parasitology 31
- Genetics 113
- Molecular Biology 268
Countries citing papers authored by Edward Large
This map shows the geographic impact of Edward Large'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 Edward Large with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Large more than expected).
Fields of papers citing papers by Edward Large
This network shows the impact of papers produced by Edward Large. 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 Edward Large. The network helps show where Edward Large may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Large, 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 | 2003 | 86 | |
| 2 | 2003 | 51 | |
| 3 | 2004 | 37 | |
| 4 | 2021 | 36 | |
| 5 | 2018 | 33 | |
| 6 | 2018 | 32 | |
| 7 | 2006 | 29 | |
| 8 | 2016 | 28 | |
| 9 | 2020 | 21 | |
| 10 | 2017 | 19 | |
| 11 | 2014 | 19 | |
| 12 | 2009 | 13 | |
| 13 | 2006 | 12 | |
| 14 | 2023 | 10 | |
| 15 | 2022 | 8 | |
| 16 | 2007 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2006 | 1 | |
| 19 | 2007 | 0 |
About Edward Large
Edward Large is a scholar working on Molecular Biology, Genetics, Aging, Public Health, Environmental and Occupational Health and Plant Science, having authored 19 papers that have together received 447 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (8 papers), Virus-based gene therapy research (5 papers), CRISPR and Genetic Engineering (4 papers), Reproductive Biology and Fertility (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Epigenetics and DNA Methylation (2 papers), Photosynthetic Processes and Mechanisms (2 papers) and Genetic Mapping and Diversity in Plants and Animals (2 papers). The work is most often cited by research in Aging (153 citations), Endocrine and Autonomic Systems (33 citations), Parasitology (31 citations), Genetics (113 citations) and Molecular Biology (268 citations). Edward Large has collaborated with scholars based in United States and Switzerland. Frequent co-authors include David S. Fay, Michael S. Chapman, Laura D. Mathies, Walter Chazin, Brian A. Hemmings, Claus W. Heizmann, Shibani Bhattacharya, Min Han, Grant M. Zane and Wen Xu. Their work appears in journals such as PLoS Genetics, American Journal of Veterinary Research, Developmental Biology, Viruses and Frontiers in Microbiology.
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.