Thomas P. Sakmar

20.1k total citations · 3 hit papers
215 papers, 14.7k citations indexed

About

Thomas P. Sakmar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Thomas P. Sakmar has authored 215 papers receiving a total of 14.7k indexed citations (citations by other indexed papers that have themselves been cited), including 181 papers in Molecular Biology, 116 papers in Cellular and Molecular Neuroscience and 32 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Thomas P. Sakmar's work include Receptor Mechanisms and Signaling (136 papers), Photoreceptor and optogenetics research (86 papers) and Retinal Development and Disorders (42 papers). Thomas P. Sakmar is often cited by papers focused on Receptor Mechanisms and Signaling (136 papers), Photoreceptor and optogenetics research (86 papers) and Retinal Development and Disorders (42 papers). Thomas P. Sakmar collaborates with scholars based in United States, Sweden and Germany. Thomas P. Sakmar's co-authors include Thomas Huber, R R Franke, Steven Lin, Karim Fahmy, Friedrich Siebert, Manija A. Kazmi, May Han, H. G. Khorana, Christoph Seibert and Tatyana Zvyaga and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Thomas P. Sakmar

214 papers receiving 14.4k citations

Hit Papers

AMD3100, a small molecule inhibitor of HIV-1 entry via th... 1989 2026 2001 2013 1998 1989 2017 200 400 600

Peers

Thomas P. Sakmar
Vadim Cherezov United States
Ming‐Ming Zhou United States
Paul F. Alewood Australia
Irving S. Sigal United States
Georgios Skiniotis United States
Marilyn D. Resh United States
Glenn F. King Australia
M Montal United States
Junmin Peng United States
Vadim Cherezov United States
Thomas P. Sakmar
Citations per year, relative to Thomas P. Sakmar Thomas P. Sakmar (= 1×) peers Vadim Cherezov

Countries citing papers authored by Thomas P. Sakmar

Since Specialization
Citations

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

Fields of papers citing papers by Thomas P. Sakmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Sakmar. 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 Thomas P. Sakmar. The network helps show where Thomas P. Sakmar may publish in the future.

Co-authorship network of co-authors of Thomas P. Sakmar

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Sakmar. A scholar is included among the top collaborators of Thomas P. Sakmar 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 Thomas P. Sakmar. Thomas P. Sakmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kotliar, Ilana B., Emilie Ceraudo, Tea Dodig‐Crnković, et al.. (2024). Multiplexed mapping of the interactome of GPCRs with receptor activity–modifying proteins. Science Advances. 10(31). eado9959–eado9959. 2 indexed citations
2.
Sakmar, Thomas P., et al.. (2024). Noncanonical Amino Acid Tools and Their Application to Membrane Protein Studies. Chemical Reviews. 124(22). 12498–12550. 9 indexed citations
3.
Huber, Thomas, et al.. (2024). The role of signaling pathways mediated by the GPCRs CysLTR1/2 in melanocyte proliferation and senescence. Science Signaling. 17(854). eadp3967–eadp3967. 1 indexed citations
4.
Limberakis, Chris, Roger B. Ruggeri, Matthew Dowling, et al.. (2023). Bioorthogonal Tethering Enhances Drug Fragment Affinity for G Protein-Coupled Receptors in Live Cells. Journal of the American Chemical Society. 145(20). 11173–11184. 9 indexed citations
5.
Kotliar, Ilana B., Emilie Ceraudo, Deena A. Oren, et al.. (2023). Itch receptor MRGPRX4 interacts with the receptor activity–modifying proteins. Journal of Biological Chemistry. 299(5). 104664–104664. 8 indexed citations
6.
Ceraudo, Emilie, et al.. (2023). Application of bioluminescence resonance energy transfer to quantitate cell-surface expression of membrane proteins. Analytical Biochemistry. 684. 115361–115361. 4 indexed citations
7.
Kotliar, Ilana B., Tea Dodig‐Crnković, Arne Elofsson, et al.. (2023). Multiplexed selectivity screening of anti-GPCR antibodies. Science Advances. 9(18). eadf9297–eadf9297. 13 indexed citations
8.
Tian, He, et al.. (2022). FRET sensors reveal the retinal entry pathway in the G protein-coupled receptor rhodopsin. iScience. 25(4). 104060–104060. 8 indexed citations
9.
Kowalski-Jahn, Maria, Hannes Schihada, Ainoleena Turku, et al.. (2021). Frizzled BRET sensors based on bioorthogonal labeling of unnatural amino acids reveal WNT-induced dynamics of the cysteine-rich domain. Science Advances. 7(46). eabj7917–eabj7917. 25 indexed citations
10.
Huber, Thomas, et al.. (2021). Principles and practice for SARS-CoV-2 decontamination of N95 masks with UV-C. Biophysical Journal. 120(14). 2927–2942. 19 indexed citations
11.
Ceraudo, Emilie, Tyler D. Hitchman, Amanda R. Moore, et al.. (2020). Direct evidence that the GPCR CysLTR2 mutant causative of uveal melanoma is constitutively active with highly biased signaling. Journal of Biological Chemistry. 296. 100163–100163. 32 indexed citations
12.
Ceraudo, Emilie, et al.. (2020). Purinergic Receptors Crosstalk with CCR5 to Amplify Ca2+ Signaling. Cellular and Molecular Neurobiology. 41(5). 1085–1101. 10 indexed citations
13.
Dodig‐Crnković, Tea, Ilana B. Kotliar, Elisa Pin, et al.. (2019). Multiplexed analysis of the secretin-like GPCR-RAMP interactome. Science Advances. 5(9). eaaw2778–eaaw2778. 60 indexed citations
14.
Cao, Yubo, et al.. (2019). Genetic code expansion and photocross-linking identify different β-arrestin binding modes to the angiotensin II type 1 receptor. Journal of Biological Chemistry. 294(46). 17409–17420. 22 indexed citations
15.
Berchiche, Yamina A., Jennifer C. Peeler, He Tian, et al.. (2019). High-Affinity Binding of Chemokine Analogs that Display Ligand Bias at the HIV-1 Coreceptor CCR5. Biophysical Journal. 117(5). 903–919. 10 indexed citations
16.
Sakmar, Thomas P. & Thomas Huber. (2018). Ancient Family of Retinal Proteins Brought to Light “Sight-Unseen”. Biochemistry. 57(49). 6735–6737. 2 indexed citations
17.
Ceraudo, Emilie, et al.. (2018). G protein subtype–specific signaling bias in a series of CCR5 chemokine analogs. Science Signaling. 11(552). 30 indexed citations
18.
Tian, He, Thomas P. Sakmar, & Thomas Huber. (2016). A simple method for enhancing the bioorthogonality of cyclooctyne reagent. Chemical Communications. 52(31). 5451–5454. 34 indexed citations
19.
Tchernychev, Boris, Yong Ren, Perminder S. Sachdev, et al.. (2010). Discovery of a CXCR4 agonist pepducin that mobilizes bone marrow hematopoietic cells. Proceedings of the National Academy of Sciences. 107(51). 22255–22259. 87 indexed citations
20.
Sachdev, Perminder S., Santosh T. Menon, David B. Kastner, et al.. (2007). G protein βγ subunit interaction with the dynein light‐chain component Tctex‐1 regulates neurite outgrowth. The EMBO Journal. 26(11). 2621–2632. 56 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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