Tracy Keates
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Molecular Biology top 5%
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Histone Deacetylase Inhibitors Research
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Chromatin Remodeling and Cancer
Papers in
-
- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 3
- Glycosylation and Glycoproteins Research 2
- 14-3-3 protein interactions 1
- Histone Deacetylase Inhibitors Research 1
- Oncology 4
- Peptidase Inhibition and Analysis 2
- CAR-T cell therapy research 1
- Co-authors
- Stefan Knapp (6 shared papers)P. Filippakopoulos (3 shared papers)S. Picaud (3 shared papers)I. Felletar (3 shared papers)Susanne Müller (4 shared papers)Maria Mangos (1 shared paper)Anne‐Claude Gingras (1 shared paper)Rudolf Volkmer (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Molecular BioSystems (1 paper)Journal of Medicinal Chemistry (1 paper)Cell (1 paper)New Biotechnology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Tracy Keates
7 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Hematology 496
- Molecular Biology 1.6k
- Virology 70
- Oncology 222
- Infectious Diseases 57
Countries citing papers authored by Tracy Keates
This map shows the geographic impact of Tracy Keates'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 Tracy Keates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tracy Keates more than expected).
Fields of papers citing papers by Tracy Keates
This network shows the impact of papers produced by Tracy Keates. 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 Tracy Keates. The network helps show where Tracy Keates may publish in the future.
Co-authors
The 25 scholars most cited alongside Tracy Keates, 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 | Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Family Hit paper breakdown → | 2012 | 1230 |
| 2 | 2013 | 205 | |
| 3 | 2011 | 107 | |
| 4 | 2013 | 73 | |
| 5 | 2014 | 47 | |
| 6 | 2011 | 20 | |
| 7 | 2013 | 6 |
About Tracy Keates
Tracy Keates is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Hematology and Cell Biology, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Ubiquitin and proteasome pathways (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Glycosylation and Glycoproteins Research (2 papers), Peptidase Inhibition and Analysis (2 papers), 14-3-3 protein interactions (1 paper), CAR-T cell therapy research (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Hematology (496 citations), Molecular Biology (1.6k citations), Virology (70 citations), Oncology (222 citations) and Infectious Diseases (57 citations). Tracy Keates has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Stefan Knapp, P. Filippakopoulos, S. Picaud, I. Felletar, Susanne Müller, Maria Mangos, Anne‐Claude Gingras, Rudolf Volkmer, C.H. Arrowsmith and Dalia Baršytė-Lovejoy. Their work appears in journals such as Journal of Biological Chemistry, Molecular BioSystems, Journal of Medicinal Chemistry, Cell and New Biotechnology.
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.