Diane E. Merry
Impact in
-
- Genetic Neurodegenerative Diseases
- Neuroscience and Neuropharmacology Research
- Genetics top 1%
- Neurogenetic and Muscular Disorders Research
Papers in
-
- Genetic Neurodegenerative Diseases 39
- Genetics 22
- Neurogenetic and Muscular Disorders Research 22
- Virus-based gene therapy research 2
- Co-authors
- S J KorsmeyerDeborah J. VeisStanley J. KorsmeyerZoltán N. OltvaiJohn R. ShutterDavid GivolO. Wesley McBrideWilliam F. Hickey
- Journals
- Journal of Biological Chemistry (5 papers)Human Molecular Genetics (4 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Neuroscience (3 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesJapanUnited Kingdom
In The Last Decade
Diane E. Merry
59 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.8k
- Genetics 694
- Developmental Neuroscience 209
- Molecular Biology 3.1k
- Aging 65
Countries citing papers authored by Diane E. Merry
This map shows the geographic impact of Diane E. Merry'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 Diane E. Merry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane E. Merry more than expected).
Fields of papers citing papers by Diane E. Merry
This network shows the impact of papers produced by Diane E. Merry. 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 Diane E. Merry. The network helps show where Diane E. Merry may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Diane E. Merry, 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 | 2 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 1 | |
| 9 | 2017 | 10 | |
| 10 | 2016 | 5 | |
| 11 | 2015 | 12 | |
| 12 | 2009 | 116 | |
| 13 | 2009 | 75 | |
| 14 | 2009 | 22 | |
| 15 | 2005 | 9 | |
| 16 | 2004 | 160 | |
| 17 | 1997 | 69 | |
| 18 | 1982 | 21 | |
| 19 | 1973 | 7 | |
| 20 | 1972 | 1 |
About Diane E. Merry
Diane E. Merry is a scholar working on Cellular and Molecular Neuroscience, Genetics, Molecular Biology, Aging and Genetics, having authored 60 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (39 papers), Muscle Physiology and Disorders (29 papers), Neurogenetic and Muscular Disorders Research (22 papers), RNA Research and Splicing (14 papers), Mitochondrial Function and Pathology (6 papers), Ubiquitin and proteasome pathways (4 papers), Chromosomal and Genetic Variations (3 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.8k citations), Genetics (694 citations), Developmental Neuroscience (209 citations), Molecular Biology (3.1k citations) and Aging (65 citations). Diane E. Merry has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include S J Korsmeyer, Deborah J. Veis, Stanley J. Korsmeyer, Zoltán N. Oltvai, John R. Shutter, David Givol, O. Wesley McBride, William F. Hickey, Kenneth H. Fischbeck and Heather L. Montie. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Scientific 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.