Edward Neilan
Impact in
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- DNA Repair Mechanisms 4
- Mitochondrial Function and Pathology 3
- CRISPR and Genetic Engineering 3
- Genetics 5
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- Virginia Kimonis (2 shared papers)Philip J. Brooks (2 shared papers)Mark S. Forman (1 shared paper)Giampietro Schiavo (1 shared paper)Gavin Kelly (1 shared paper)Dana Thomasová (1 shared paper)Steven Mumm (1 shared paper)Jesper Q. Svejstrup (1 shared paper)
- Journals
- Asian Journal of Communication (2 papers)Journal of Broadcasting & Electronic Media (2 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Neurology (1 paper)Transgenic Research (1 paper)
- Partner nations
- United StatesTaiwanUnited Kingdom
In The Last Decade
Edward Neilan
18 papers receiving 470 citations
Peers
Comparison fields: 5 of 77
- Clinical Biochemistry 45
- Aging 8
- Neurology 59
- Neurology 29
- Molecular Biology 237
Countries citing papers authored by Edward Neilan
This map shows the geographic impact of Edward Neilan'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 Neilan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward Neilan more than expected).
Fields of papers citing papers by Edward Neilan
This network shows the impact of papers produced by Edward Neilan. 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 Neilan. The network helps show where Edward Neilan may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward Neilan, 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 | 2008 | 128 | |
| 2 | 2014 | 81 | |
| 3 | 2016 | 76 | |
| 4 | 2012 | 68 | |
| 5 | 1999 | 28 | |
| 6 | 2008 | 16 | |
| 7 | 2024 | 15 | |
| 8 | 2014 | 14 | |
| 9 | 2006 | 12 | |
| 10 | 2013 | 12 | |
| 11 | 2016 | 10 | |
| 12 | 2024 | 5 | |
| 13 | 1998 | 5 | |
| 14 | 2018 | 5 | |
| 15 | Television Coverage of the 1995 Legislative election in Taiwan | 1998 | 2 |
| 16 | 1999 | 1 | |
| 17 | 1996 | 1 | |
| 18 | 2019 | 1 |
About Edward Neilan
Edward Neilan is a scholar working on Molecular Biology, Genetics, Sociology and Political Science, Clinical Biochemistry and Physiology, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Metabolism and Genetic Disorders (3 papers), Hong Kong and Taiwan Politics (3 papers), Mitochondrial Function and Pathology (3 papers), CRISPR and Genetic Engineering (3 papers), Asian Culture and Media Studies (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Lysosomal Storage Disorders Research (2 papers). The work is most often cited by research in Clinical Biochemistry (45 citations), Aging (8 citations), Neurology (59 citations), Neurology (29 citations) and Molecular Biology (237 citations). Edward Neilan has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Virginia Kimonis, Philip J. Brooks, Mark S. Forman, Giampietro Schiavo, Gavin Kelly, Dana Thomasová, Steven Mumm, Jesper Q. Svejstrup, Probir Chakravarty and Sarju Mehta. Their work appears in journals such as Asian Journal of Communication, Journal of Broadcasting & Electronic Media, Proceedings of the National Academy of Sciences, Journal of Neurology and Transgenic Research.
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.