Daniel Wacker

8.5k total citations · 6 hit papers
34 papers, 4.0k citations indexed

About

Daniel Wacker is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Daniel Wacker has authored 34 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Cellular and Molecular Neuroscience and 6 papers in Organic Chemistry. Recurrent topics in Daniel Wacker's work include Receptor Mechanisms and Signaling (20 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Neuropeptides and Animal Physiology (9 papers). Daniel Wacker is often cited by papers focused on Receptor Mechanisms and Signaling (20 papers), Neurotransmitter Receptor Influence on Behavior (10 papers) and Neuropeptides and Animal Physiology (9 papers). Daniel Wacker collaborates with scholars based in United States, Germany and China. Daniel Wacker's co-authors include Bryan L. Roth, Raymond C. Stevens, Vadim Cherezov, Vsevolod Katritch, Tao Che, Gye Won Han, Xi‐Ping Huang, Brian K. Shoichet, Sheng Wang and Eyal Vardy and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel Wacker

33 papers receiving 4.0k citations

Hit Papers

Structure of the human κ-opioid receptor in complex with ... 2012 2026 2016 2021 2012 2013 2017 2018 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wacker United States 19 3.2k 2.1k 610 477 311 34 4.0k
Marta Filizola United States 40 4.3k 1.4× 3.0k 1.4× 456 0.7× 569 1.2× 313 1.0× 140 5.7k
Wesley K. Kroeze United States 27 2.8k 0.9× 1.9k 0.9× 592 1.0× 185 0.4× 310 1.0× 38 4.9k
John D. McCorvy United States 30 3.0k 0.9× 2.5k 1.2× 508 0.8× 316 0.7× 790 2.5× 71 4.9k
Tao Che United States 24 2.3k 0.7× 1.2k 0.6× 751 1.2× 284 0.6× 398 1.3× 69 3.5k
Vincent Setola United States 33 2.8k 0.9× 1.8k 0.8× 1.2k 2.0× 185 0.4× 634 2.0× 81 5.1k
Ryan T. Strachan United States 25 2.6k 0.8× 1.5k 0.7× 251 0.4× 380 0.8× 92 0.3× 31 3.4k
Meritxell Canals Australia 44 4.5k 1.4× 3.5k 1.7× 343 0.6× 495 1.0× 120 0.4× 113 6.6k
Enric I. Canela Spain 58 5.6k 1.8× 4.5k 2.1× 180 0.3× 323 0.7× 186 0.6× 201 9.3k
J. Robert Lane United States 38 4.5k 1.4× 2.8k 1.4× 803 1.3× 608 1.3× 378 1.2× 101 5.8k

Countries citing papers authored by Daniel Wacker

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Wacker. 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 Daniel Wacker. The network helps show where Daniel Wacker may publish in the future.

Co-authorship network of co-authors of Daniel Wacker

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wacker. A scholar is included among the top collaborators of Daniel Wacker 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 Daniel Wacker. Daniel Wacker 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.
Warren, Audrey L., et al.. (2025). Structural determinants of G protein subtype selectivity at the serotonin receptor 5-HT1A. Science Advances. 11(31). eadu9851–eadu9851. 2 indexed citations
2.
Wacker, Daniel & John D. McCorvy. (2025). Biased Signaling in Psychedelic Action. The Annual Review of Pharmacology and Toxicology. 66(1). 241–260.
3.
Warren, Audrey L., et al.. (2024). Molecular basis of human trace amine-associated receptor 1 activation. Nature Communications. 15(1). 108–108. 14 indexed citations
4.
Warren, Audrey L., et al.. (2024). Structural insights into the unexpected agonism of tetracyclic antidepressants at serotonin receptors 5-HT 1e R and 5-HT 1F R. Science Advances. 10(16). eadk4855–eadk4855. 3 indexed citations
5.
Warren, Audrey L., Michael J. Cunningham, Lyonna F. Parise, et al.. (2024). Structural pharmacology and therapeutic potential of 5-methoxytryptamines. Nature. 630(8015). 237–246. 39 indexed citations
6.
Wacker, Daniel & Marta Filizola. (2024). Can Targeting the Sodium Site via Water Molecules Lead to the Development of Safer Opioids?. ACS Central Science. 10(8). 1436–1438. 1 indexed citations
7.
McCorvy, John D., et al.. (2023). Molecular insights into GPCR mechanisms for drugs of abuse. Journal of Biological Chemistry. 299(9). 105176–105176. 4 indexed citations
8.
Wacker, Daniel, et al.. (2023). Computational characterization of the binding mode and mechanism of action of tricyclic small molecules at 5-HT1E and 5-HT1F receptors. Biophysical Journal. 122(3). 509a–510a. 1 indexed citations
9.
Warren, Audrey L., et al.. (2023). Discovery and characterization of antidepressant mediated activation of 5-HT1E and 5-HT1F receptors. Biophysical Journal. 122(3). 195a–195a. 1 indexed citations
10.
Sakloth, Farhana, Anne Ruiz, Randal A. Serafini, et al.. (2022). A Regional and Projection-Specific Role of RGSz1 in the Ventrolateral Periaqueductal Grey in the Modulation of Morphine Reward. Molecular Pharmacology. 103(1). 1–8. 4 indexed citations
11.
Kim, Kuglae, Tao Che, Ouliana Panova, et al.. (2020). Structure of a Hallucinogen-Activated Gq-Coupled 5-HT2A Serotonin Receptor. Cell. 182(6). 1574–1588.e19. 306 indexed citations breakdown →
12.
Che, Tao, Justin G. English, B. Krumm, et al.. (2020). Nanobody-enabled monitoring of kappa opioid receptor states. Nature Communications. 11(1). 1145–1145. 93 indexed citations
13.
English, Justin G., Reid H. J. Olsen, Katherine Lansu, et al.. (2019). VEGAS as a Platform for Facile Directed Evolution in Mammalian Cells. Cell. 178(3). 748–761.e17. 72 indexed citations
14.
McCorvy, John D., Daniel Wacker, Sheng Wang, et al.. (2018). Structural determinants of 5-HT2B receptor activation and biased agonism. Nature Structural & Molecular Biology. 25(9). 787–796. 116 indexed citations
15.
Wang, Sheng, Tao Che, Anat Levit, et al.. (2018). Structure of the D2 dopamine receptor bound to the atypical antipsychotic drug risperidone. Nature. 555(7695). 269–273. 331 indexed citations breakdown →
16.
Wacker, Daniel, Raymond C. Stevens, & Bryan L. Roth. (2017). How Ligands Illuminate GPCR Molecular Pharmacology. Cell. 170(3). 414–427. 400 indexed citations breakdown →
17.
Wacker, Daniel, Chong Wang, Vsevolod Katritch, et al.. (2013). Structural Features for Functional Selectivity at Serotonin Receptors. Science. 340(6132). 615–619. 543 indexed citations breakdown →
18.
Wu, Huixian, Daniel Wacker, Mauro Mileni, et al.. (2012). Structure of the human κ-opioid receptor in complex with JDTic. Nature. 485(7398). 327–332. 718 indexed citations breakdown →
19.
Thompson, Aaron A., Jeffrey J. Liu, Eugene Chun, et al.. (2011). GPCR stabilization using the bicelle-like architecture of mixed sterol-detergent micelles. Methods. 55(4). 310–317. 73 indexed citations
20.
Fuhrmann, D., Daniel Wacker, K. Weiß, et al.. (1998). The adsorption of small hydrocarbons on Cu(111): A combined He-atom scattering and x-ray absorption study for ethane, ethylene, and acetylene. The Journal of Chemical Physics. 108(6). 2651–2658. 37 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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