Jane Mellor
Impact in
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Fungal and yeast genetics research
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Aging top 2%
Papers in
- Aging 2
-
- Fungal and yeast genetics research 35
- Genomics and Chromatin Dynamics 29
- RNA Research and Splicing 17
- RNA and protein synthesis mechanisms 14
- Epigenetics and DNA Methylation 11
- RNA modifications and cancer 8
- Cancer-related gene regulation 6
- CRISPR and Genetic Engineering 5
- Co-authors
- Susan M. KingsmanAlan J. KingsmanTony KouzaridesHelena Santos-RosaStuart L. SchreiberB BernsteinRobert SchneiderN. C. Tolga Emre
- Journals
- Nucleic Acids Research (14 papers)Molecular Cell (7 papers)Molecular and Cellular Biology (7 papers)Cell (4 papers)Nature (3 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jane Mellor
76 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Molecular Biology 5.9k
- Aging 119
- Plant Science 1.3k
- Cell Biology 322
- Genetics 547
Countries citing papers authored by Jane Mellor
This map shows the geographic impact of Jane Mellor'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 Jane Mellor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Mellor more than expected).
Fields of papers citing papers by Jane Mellor
This network shows the impact of papers produced by Jane Mellor. 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 Jane Mellor. The network helps show where Jane Mellor may publish in the future.
Co-authors
The 25 scholars most cited alongside Jane Mellor, 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 | 2020 | 13 | |
| 2 | 2019 | 222 | |
| 3 | 2018 | 52 | |
| 4 | 2017 | 10 | |
| 5 | 2016 | 280 | |
| 6 | 2016 | 30 | |
| 7 | 2016 | 28 | |
| 8 | 2015 | 31 | |
| 9 | 2014 | 30 | |
| 10 | Non-coding RNA as an epigenetic regulator in yeast | 2012 | 1 |
| 11 | 2010 | 7 | |
| 12 | 2009 | 25 | |
| 13 | 2006 | 131 | |
| 14 | 2005 | 166 | |
| 15 | 2003 | 35 | |
| 16 | 2003 | 210 | |
| 17 | Active genes are tri-methylated at K4 of histone H3 Hit paper breakdown → | 2002 | 1667 |
| 18 | 1992 | 26 | |
| 19 | 1991 | 54 | |
| 20 | 1988 | 7 |
About Jane Mellor
Jane Mellor is a scholar working on Aging, Molecular Biology, Plant Science, Endocrine and Autonomic Systems and Endocrinology, having authored 78 papers that have together received 6.8k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (35 papers), Genomics and Chromatin Dynamics (29 papers), RNA Research and Splicing (17 papers), RNA and protein synthesis mechanisms (14 papers), Epigenetics and DNA Methylation (11 papers), RNA modifications and cancer (8 papers), Cancer-related gene regulation (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Molecular Biology (5.9k citations), Aging (119 citations), Plant Science (1.3k citations), Cell Biology (322 citations) and Genetics (547 citations). Jane Mellor has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Susan M. Kingsman, Alan J. Kingsman, Tony Kouzarides, Helena Santos-Rosa, Stuart L. Schreiber, B Bernstein, Robert Schneider, N. C. Tolga Emre, Andrew J. Bannister and Melanie J. Dobson. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Molecular and Cellular Biology, Cell and Nature.
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.