Christopher G. Tate

17.8k total citations · 5 hit papers
130 papers, 13.4k citations indexed

About

Christopher G. Tate is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Christopher G. Tate has authored 130 papers receiving a total of 13.4k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Molecular Biology, 63 papers in Cellular and Molecular Neuroscience and 24 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Christopher G. Tate's work include Receptor Mechanisms and Signaling (87 papers), Neuropeptides and Animal Physiology (44 papers) and Monoclonal and Polyclonal Antibodies Research (24 papers). Christopher G. Tate is often cited by papers focused on Receptor Mechanisms and Signaling (87 papers), Neuropeptides and Animal Physiology (44 papers) and Monoclonal and Polyclonal Antibodies Research (24 papers). Christopher G. Tate collaborates with scholars based in United Kingdom, United States and Switzerland. Christopher G. Tate's co-authors include Tony Warne, Gebhard F. X. Schertler, Patricia C. Edwards, Andrew G. W. Leslie, Guillaume Lebon, María J. Serrano‐Vega, Reinhard Grisshammer, Byron Carpenter, Rony Nehmé and AJ Venkatakrishnan and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Christopher G. Tate

127 papers receiving 13.1k citations

Hit Papers

5 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.

Molecular signatures of G-protein-coupled receptors

2013 1.2k citations AJ Venkatakrishnan, Xavier Deupí et al. Nature profile →
Structure of a β1-adrenergic G-protein-coupled receptor

2008 1.1k citations Tony Warne, Patricia C. Edwards et al. Nature profile →
Agonist-bound adenosine A2A receptor structures reveal common features of GPCR activation

2011 700 citations Tony Warne, Patricia C. Edwards et al. Nature profile →
The structural basis for agonist and partial agonist action on a β1-adrenergic receptor

2011 513 citations Tony Warne, Rony Nehmé et al. Nature profile →
Impact of GPCR Structures on Drug Discovery

2020 245 citations Miles Congreve, Christopher G. Tate et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christopher G. Tate United Kingdom	59	11.7k	5.7k	2.2k	1.3k	1.1k	130	13.4k
Roger K. Sunahara United States	59	15.7k 1.3×	10.2k 1.8×	1.9k 0.9×	912 0.7×	634 0.6×	132	20.2k
Vsevolod Katritch United States	57	15.0k 1.3×	8.0k 1.4×	2.4k 1.1×	990 0.8×	1.3k 1.1×	133	17.8k
Søren G. F. Rasmussen United States	39	16.1k 1.4×	8.5k 1.5×	3.2k 1.4×	1.3k 1.0×	402 0.4×	54	17.6k
Michael A. Hanson United States	37	9.6k 0.8×	4.8k 0.8×	1.5k 0.7×	680 0.5×	581 0.5×	58	11.1k
Gye Won Han United States	43	9.0k 0.8×	4.6k 0.8×	1.5k 0.7×	498 0.4×	813 0.7×	90	10.7k
Daniel M. Rosenbaum United States	44	12.0k 1.0×	6.5k 1.1×	2.1k 1.0×	866 0.7×	332 0.3×	107	15.5k
Tong Sun Kobilka United States	26	14.9k 1.3×	9.1k 1.6×	2.4k 1.1×	1.1k 0.9×	384 0.3×	28	16.3k
Gebhard F. X. Schertler Switzerland	47	10.9k 0.9×	7.3k 1.3×	1.6k 0.7×	940 0.7×	284 0.3×	111	12.3k
Patrick M. Sexton Australia	77	17.4k 1.5×	12.2k 2.1×	1.7k 0.7×	767 0.6×	926 0.8×	351	22.4k
Vadim Cherezov United States	64	21.0k 1.8×	10.5k 1.8×	3.4k 1.5×	1.5k 1.1×	1.4k 1.3×	159	24.3k

Countries citing papers authored by Christopher G. Tate

Since Specialization

Citations

This map shows the geographic impact of Christopher G. Tate'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 Christopher G. Tate with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher G. Tate more than expected).

Fields of papers citing papers by Christopher G. Tate

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher G. Tate. 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 Christopher G. Tate. The network helps show where Christopher G. Tate may publish in the future.

Co-authorship network of co-authors of Christopher G. Tate

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher G. Tate. A scholar is included among the top collaborators of Christopher G. Tate 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 Christopher G. Tate. Christopher G. Tate 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:

20 of 20 papers shown

Tate, Christopher G., et al.. (2026). Purification of the Active-State G Protein-Coupled Receptor ADGRL4 for Cryo-Electron Microscopy Using a Modular Tag System and a Tethered mini-G<sub>q</sub>. BIO-PROTOCOL. 16(1392). e5617–e5617.

Gusach, Anastasiia, et al.. (2025). Structure of the Gq-coupled adhesion receptor ADGRL4. Nature Communications. 17(1). 907–907.

Conflitti, Paolo, Edward Lyman, Mark S.P. Sansom, et al.. (2025). Functional dynamics of G protein-coupled receptors reveal new routes for drug discovery. Nature Reviews Drug Discovery. 24(4). 251–275. 15 indexed citations

Gusach, Anastasiia, Yang Lee, Ning Ma, et al.. (2024). Molecular recognition of an odorant by the murine trace amine-associated receptor TAAR7f. Nature Communications. 15(1). 7555–7555. 3 indexed citations

Sridhar, Pooja, Patricia C. Edwards, Christopher G. Tate, et al.. (2021). Differences in SMA-like polymer architecture dictate the conformational changes exhibited by the membrane protein rhodopsin encapsulated in lipid nano-particles. Nanoscale. 13(31). 13519–13528. 14 indexed citations

Pamula, Filip, Alain Blanc, Rony Nehmé, et al.. (2020). Strategic Screening and Characterization of the Visual GPCR-mini-G Protein Signaling Complex for Successful Crystallization. Journal of Visualized Experiments. 1 indexed citations

Ma, Ning, Gáspár Pándy‐Szekeres, Albert J. Kooistra, et al.. (2020). Structure of the class D GPCR Ste2 dimer coupled to two G proteins. Nature. 589(7840). 148–153. 59 indexed citations

Warne, Tony, Patricia C. Edwards, A.S. Dore, Andrew G. W. Leslie, & Christopher G. Tate. (2019). Molecular basis for high-affinity agonist binding in GPCRs. Science. 364(6442). 775–778. 85 indexed citations

Tsai, Ching‐Ju, Filip Pamula, Rony Nehmé, et al.. (2018). Crystal structure of rhodopsin in complex with a mini-G_osheds light on the principles of G protein selectivity. Science Advances. 4(9). eaat7052–eaat7052. 52 indexed citations

10.

Carpenter, Byron & Christopher G. Tate. (2017). Expression and Purification of Mini G Proteins from Escherichia coli. BIO-PROTOCOL. 7(8). 21 indexed citations

11.

Carpenter, Byron & Christopher G. Tate. (2017). Expression, Purification and Crystallisation of the Adenosine A2A Receptor Bound to an Engineered Mini G Protein. BIO-PROTOCOL. 7(8). 13 indexed citations

12.

Nehmé, Rony, Byron Carpenter, Ankita Singhal, et al.. (2017). Mini-G proteins: Novel tools for studying GPCRs in their active conformation. PLoS ONE. 12(4). e0175642–e0175642. 200 indexed citations

13.

Carpenter, Byron, et al.. (2016). Structure of the adenosine A(2A) receptor bound to an engineered G protein (vol 536, pg 104, 2016). Nature. 538(7626). 7 indexed citations

14.

Flock, Tilman, Charles N. J. Ravarani, Dawei Sun, et al.. (2015). Universal allosteric mechanism for Gα activation by GPCRs. Nature. 524(7564). 173–179. 277 indexed citations

15.

Thomas, Jennifer A. & Christopher G. Tate. (2014). Quality Control in Eukaryotic Membrane Protein Overproduction. Journal of Molecular Biology. 426(24). 4139–4154. 42 indexed citations

16.

Christopher, J.A., Jason Brown, A.S. Dore, et al.. (2013). Biophysical Fragment Screening of the β ₁ -Adrenergic Receptor: Identification of High Affinity Arylpiperazine Leads Using Structure-Based Drug Design. Journal of Medicinal Chemistry. 56(9). 3446–3455. 123 indexed citations

17.

Campbell, Nicholas G., Chong-Bin Zhu, Brian L. Yaspan, et al.. (2013). Rare coding variants of the adenosine A3 receptor are increased in autism: on the trail of the serotonin transporter regulome. Molecular Autism. 4(1). 28–28. 18 indexed citations

18.

Dore, A.S., N.J. Robertson, James C. Errey, et al.. (2011). Structure of the Adenosine A2A Receptor in Complex with ZM241385 and the Xanthines XAC and Caffeine. Structure. 19(9). 1283–1293. 453 indexed citations

19.

Korkhov, Volodymyr M., Carsten Sachse, Judith M. Short, & Christopher G. Tate. (2010). Three-Dimensional Structure of TspO by Electron Cryomicroscopy of Helical Crystals. Structure. 18(6). 677–687. 94 indexed citations

20.

Tate, Christopher G., Jana Haase, Cara Baker, et al.. (2003). Comparison of seven different heterologous protein expression systems for the production of the serotonin transporter. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1610(1). 141–153. 109 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.

Explore authors with similar magnitude of impact