Grace Gill
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 17
- RNA Research and Splicing 16
- Genomics and Chromatin Dynamics 13
- RNA modifications and cancer 8
- RNA and protein synthesis mechanisms 6
- Epigenetics and DNA Methylation 5
- Glycosylation and Glycoproteins Research 4
- Genetics top 1%
- Aging top 5%
- Oncology top 2%
- Cancer-related Molecular Pathways 7
- Cancer Research top 5%
- Co-authors
- Mark PtashneRobert TjianLiam P. KeeganZian H. TsengErica PascalJian OuyangRobert O. J. WeinzierlTimothy Hoey
- Cited by
- Molecular BiologyGeneticsAging
- Journals
- Molecular Cell (7 papers)Proceedings of the National Academy of Sciences (6 papers)Molecular and Cellular Biology (6 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Grace Gill
52 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 5.6k
- Genetics 1.2k
- Aging 69
- Oncology 1.0k
- Cancer Research 493
Countries citing papers authored by Grace Gill
This map shows the geographic impact of Grace Gill'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 Grace Gill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grace Gill more than expected).
Fields of papers citing papers by Grace Gill
This network shows the impact of papers produced by Grace Gill. 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 Grace Gill. The network helps show where Grace Gill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grace Gill, 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 | 2015 | 4 | |
| 2 | 2015 | 9 | |
| 3 | 2014 | 81 | |
| 4 | 2014 | 18 | |
| 5 | 2013 | 40 | |
| 6 | 2013 | 4 | |
| 7 | 2011 | 42 | |
| 8 | 2011 | 156 | |
| 9 | 2006 | 148 | |
| 10 | 2006 | 37 | |
| 11 | 2005 | 18 | |
| 12 | 2005 | 410 | |
| 13 | 2003 | 176 | |
| 14 | 2003 | 184 | |
| 15 | 2000 | 75 | |
| 16 | 2000 | 305 | |
| 17 | 1994 | 19 | |
| 18 | 1992 | 128 | |
| 19 | 1992 | 11 | |
| 20 | 1987 | 246 |
About Grace Gill
Grace Gill is a scholar working on Molecular Biology, Developmental Neuroscience, Oncology, Biotechnology and Biological Psychiatry, having authored 53 papers that have together received 6.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (17 papers), RNA Research and Splicing (16 papers), Genomics and Chromatin Dynamics (13 papers), RNA modifications and cancer (8 papers), Cancer-related Molecular Pathways (7 papers), RNA and protein synthesis mechanisms (6 papers), Epigenetics and DNA Methylation (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Genetics (1.2k citations), Aging (69 citations), Oncology (1.0k citations) and Cancer Research (493 citations). Grace Gill has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Mark Ptashne, Robert Tjian, Liam P. Keegan, Zian H. Tseng, Erica Pascal, Jian Ouyang, Robert O. J. Weinzierl, Timothy Hoey, Brian David Dynlacht and Sarah E. Ross. Their work appears in journals such as Molecular Cell, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Cell and Current Opinion in Genetics & Development.
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.