Tracy Keates

2.4k total citations · 1 hit paper
7 papers, 1.7k citations indexed

About

Tracy Keates is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tracy Keates has authored 7 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tracy Keates's work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Tracy Keates is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Tracy Keates collaborates with scholars based in United Kingdom, Germany and South Sudan. Tracy Keates's co-authors include Stefan Knapp, S. Picaud, I. Felletar, P. Filippakopoulos, Susanne Müller, Jean‐Philippe Lambert, Dalia Baršytė-Lovejoy, Tony Pawson, Maria Mangos and C.H. Arrowsmith and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Biochemical Journal.

In The Last Decade

Tracy Keates

7 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Family

2012 1.2k citations P. Filippakopoulos, S. Picaud et al. Cell profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tracy Keates United Kingdom	7	1.6k	496	222	72	70	7	1.7k
I. Felletar United Kingdom	8	1.8k 1.1×	689 1.4×	267 1.2×	77 1.1×	92 1.3×	8	1.9k
Maria Mangos Canada	7	1.4k 0.9×	399 0.8×	155 0.7×	45 0.6×	60 0.9×	12	1.5k
Edwige Nicodème France	8	1.2k 0.7×	437 0.9×	207 0.9×	54 0.8×	56 0.8×	11	1.5k
Deborah H. Brotherton United Kingdom	11	998 0.6×	193 0.4×	396 1.8×	72 1.0×	35 0.5×	20	1.2k
Michael Pranpat United States	6	1.1k 0.7×	252 0.5×	251 1.1×	55 0.8×	9 0.1×	11	1.3k
Michael Fitzgerald United States	11	600 0.4×	228 0.5×	293 1.3×	254 3.5×	18 0.3×	17	1.0k
Kate E. Jarman Australia	13	499 0.3×	220 0.4×	157 0.7×	66 0.9×	13 0.2×	24	870
Zhixiang He United States	13	1.1k 0.7×	247 0.5×	400 1.8×	80 1.1×	7 0.1×	21	1.3k
Aaron Nguyen United States	12	695 0.4×	421 0.8×	207 0.9×	26 0.4×	8 0.1×	21	966
Veronica Novotny‐Diermayr Singapore	14	596 0.4×	225 0.5×	380 1.7×	59 0.8×	8 0.1×	19	986

Countries citing papers authored by Tracy Keates

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tracy Keates

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Keates. A scholar is included among the top collaborators of Tracy Keates based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tracy Keates. Tracy Keates is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chaikuad, A., Tracy Keates, Cécile Vincke, et al.. (2014). Structure of cyclin G-associated kinase (GAK) trapped in different conformations using nanobodies. Biochemical Journal. 459(1). 59–69. 47 indexed citations

2.

Canning, Peter, C.D.O. Cooper, T. Krojer, et al.. (2013). Structural Basis for Cul3 Protein Assembly with the BTB-Kelch Family of E3 Ubiquitin Ligases. Journal of Biological Chemistry. 288(11). 7803–7814. 205 indexed citations

3.

Canning, Peter, C.D.O. Cooper, T. Krojer, et al.. (2013). Structural basis for Cul3 protein assembly with the BTB-Kelch family of E3 ubiquitin ligases.. Journal of Biological Chemistry. 288(39). 28304–28304. 6 indexed citations

4.

Fedorov, O., Hannah Lingard, Christopher Wells, et al.. (2013). [1,2,4]Triazolo[4,3-a]phthalazines: Inhibitors of Diverse Bromodomains. Journal of Medicinal Chemistry. 57(2). 462–476. 73 indexed citations

5.

Filippakopoulos, P., S. Picaud, Maria Mangos, et al.. (2012). Histone Recognition and Large-Scale Structural Analysis of the Human Bromodomain Family. Cell. 149(1). 214–231. 1230 indexed citations breakdown →

6.

Philpott, Martin, Jing Yang, O. Fedorov, et al.. (2011). Bromodomain-peptide displacement assays for interactome mapping and inhibitor discovery. Molecular BioSystems. 7(10). 2899–2908. 107 indexed citations

7.

Keates, Tracy, C.D.O. Cooper, P. Savitsky, et al.. (2011). Expressing the human proteome for affinity proteomics: optimising expression of soluble protein domains and in vivo biotinylation. New Biotechnology. 29(5). 515–525. 20 indexed citations

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.

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