James Ellis
Impact in
- Molecular Biology top 1%
- CRISPR and Genetic Engineering
- Pluripotent Stem Cells Research
- RNA Interference and Gene Delivery
- Genomics and Chromatin Dynamics
- Congenital heart defects research
- Genetics top 0.5%
- Virus-based gene therapy research
- Genetics and Neurodevelopmental Disorders
Papers in
- Genetics 49
- Genetics and Neurodevelopmental Disorders 16
- Virus-based gene therapy research 15
- Animal Genetics and Reproduction 13
- Co-authors
- Akitsu HottaPeter PasceriMurray EdenRobert KesslerDylan PannellMaryam NiapourMark GagliardiNicole Dubois
- Journals
- Blood (5 papers)The EMBO Journal (4 papers)Molecular Therapy (4 papers)Diabetes (3 papers)Cell Reports (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
James Ellis
120 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 5.1k
- Genetics 1.9k
- Developmental Neuroscience 214
- Genetics 467
- Cellular and Molecular Neuroscience 697
Countries citing papers authored by James Ellis
This map shows the geographic impact of James Ellis'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 James Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Ellis more than expected).
Fields of papers citing papers by James Ellis
This network shows the impact of papers produced by James Ellis. 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 James Ellis. The network helps show where James Ellis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside James Ellis, 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 | 2023 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2022 | 32 | |
| 4 | 2022 | 15 | |
| 5 | 2021 | 9 | |
| 6 | 2021 | 6 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 122 | |
| 10 | 2016 | 43 | |
| 11 | 2016 | 26 | |
| 12 | 2015 | 73 | |
| 13 | 2012 | 5 | |
| 14 | 2012 | 41 | |
| 15 | 2002 | 38 | |
| 16 | 2001 | 428 | |
| 17 | 1997 | 24 | |
| 18 | 1993 | 53 | |
| 19 | 1989 | 26 | |
| 20 | Statistics of edge areas in quantitative EELS imaging: signal-to-noise ratio and minimum detectable signal | 1983 | 1 |
About James Ellis
James Ellis is a scholar working on Developmental Neuroscience, Genetics, Molecular Biology, Physiology and Cognitive Neuroscience, having authored 123 papers that have together received 7.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (42 papers), Pluripotent Stem Cells Research (22 papers), Genetics and Neurodevelopmental Disorders (16 papers), RNA Interference and Gene Delivery (15 papers), Virus-based gene therapy research (15 papers), Animal Genetics and Reproduction (13 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (12 papers). The work is most often cited by research in Molecular Biology (5.1k citations), Genetics (1.9k citations), Developmental Neuroscience (214 citations), Genetics (467 citations) and Cellular and Molecular Neuroscience (697 citations). James Ellis has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Akitsu Hotta, Peter Pasceri, Murray Eden, Robert Kessler, Dylan Pannell, Maryam Niapour, Mark Gagliardi, Nicole Dubois, Alec Witty and Gordon Keller. Their work appears in journals such as Blood, The EMBO Journal, Molecular Therapy, Diabetes 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.