Jonas Kaindl

878 total citations
20 papers, 629 citations indexed

About

Jonas Kaindl is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Jonas Kaindl has authored 20 papers receiving a total of 629 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 11 papers in Cellular and Molecular Neuroscience and 3 papers in Computational Theory and Mathematics. Recurrent topics in Jonas Kaindl's work include Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jonas Kaindl is often cited by papers focused on Receptor Mechanisms and Signaling (19 papers), Neuropeptides and Animal Physiology (7 papers) and Neuroscience and Neuropharmacology Research (5 papers). Jonas Kaindl collaborates with scholars based in Germany, United States and China. Jonas Kaindl's co-authors include Peter Gmeiner, Harald Hübner, Brian K. Kobilka, Mary J. Clark, Roger K. Sunahara, Kunio Hirata, Xinyu Xu, Timothy Clark, Xiangyu Liu and Shoji Maeda and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Jonas Kaindl

20 papers receiving 625 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Kaindl Germany 12 528 311 88 78 75 20 629
Matthias Elgeti Germany 14 632 1.2× 408 1.3× 115 1.3× 57 0.7× 103 1.4× 21 750
Justin G. English United States 8 521 1.0× 269 0.9× 93 1.1× 29 0.4× 52 0.7× 10 626
Jo‐Anne Baltos Australia 16 722 1.4× 355 1.1× 78 0.9× 86 1.1× 29 0.4× 20 859
Christopher J. Draper-Joyce Australia 11 659 1.2× 386 1.2× 104 1.2× 103 1.3× 54 0.7× 13 726
Wonjo Jang United States 8 610 1.2× 359 1.2× 74 0.8× 58 0.7× 62 0.8× 12 771
Thomas Coudrat Australia 8 773 1.5× 524 1.7× 118 1.3× 81 1.0× 52 0.7× 10 868
Yi-Lynn Liang Australia 10 461 0.9× 281 0.9× 64 0.7× 33 0.4× 47 0.6× 11 546
Rachel A. Matt United States 5 377 0.7× 226 0.7× 71 0.8× 53 0.7× 55 0.7× 7 417
Wanjing Guo China 4 345 0.7× 189 0.6× 66 0.8× 44 0.6× 40 0.5× 6 429
Carmen Klein Herenbrink United States 12 585 1.1× 452 1.5× 69 0.8× 89 1.1× 22 0.3× 13 725

Countries citing papers authored by Jonas Kaindl

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Kaindl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonas Kaindl

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas Kaindl. A scholar is included among the top collaborators of Jonas Kaindl 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 Jonas Kaindl. Jonas Kaindl 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.
Vögele, Martin, Bin W. Zhang, Jonas Kaindl, & Lingle Wang. (2024). Is the functional response of a receptor determined by the thermodynamics of ligand binding?. Biophysical Journal. 123(3). 472a–472a. 1 indexed citations
2.
Xu, Xinyu, Jeremy Shonberg, Jonas Kaindl, et al.. (2023). Constrained catecholamines gain β2AR selectivity through allosteric effects on pocket dynamics. Nature Communications. 14(1). 2138–2138. 13 indexed citations
3.
Vögele, Martin, Bin W. Zhang, Jonas Kaindl, & Lingle Wang. (2023). Is the Functional Response of a Receptor Determined by the Thermodynamics of Ligand Binding?. Journal of Chemical Theory and Computation. 19(22). 8414–8422. 11 indexed citations
4.
Wang, Haoqing, Weijiao Huang, Qianhui Qu, et al.. (2022). Structure‐Based Evolution of G Protein‐Biased μ‐Opioid Receptor Agonists. Angewandte Chemie International Edition. 61(26). e202200269–e202200269. 38 indexed citations
5.
Yuan, Daopeng, Zhongmin Liu, Jonas Kaindl, et al.. (2020). Activation of the α2B adrenoceptor by the sedative sympatholytic dexmedetomidine. Nature Chemical Biology. 16(5). 507–512. 52 indexed citations
6.
Weiss, Eva‐Maria, Liubov S. Kalinichenko, Davide Amato, et al.. (2020). Presynaptic vesicular accumulation is required for antipsychotic efficacy in psychotic-like rats. Journal of Psychopharmacology. 35(1). 65–77. 6 indexed citations
7.
Fischer, Oliver, Jonas Kaindl, Gerald Pratsch, et al.. (2020). Regiospecific Introduction of Halogens on the 2-Aminobiphenyl Subunit Leading to Highly Potent and Selective M3 Muscarinic Acetylcholine Receptor Antagonists and Weak Inverse Agonists. Journal of Medicinal Chemistry. 63(8). 4349–4369. 6 indexed citations
8.
Schmidt, Maximilian F., et al.. (2020). Discovery of Novel Nonpeptidic PAR2 Ligands. ACS Medicinal Chemistry Letters. 11(6). 1316–1323. 8 indexed citations
9.
Xu, Xinyu, Jonas Kaindl, Mary J. Clark, et al.. (2020). Binding pathway determines norepinephrine selectivity for the human β1AR over β2AR. Cell Research. 31(5). 569–579. 85 indexed citations
10.
Liu, Xiangyu, Jonas Kaindl, Magdalena Korczynska, et al.. (2020). An allosteric modulator binds to a conformational hub in the β2 adrenergic receptor. Nature Chemical Biology. 16(7). 749–755. 60 indexed citations
11.
Picard, Louis-Philippe, Maximilian F. Schmidt, Jonas Kaindl, et al.. (2019). Hybridization of β-Adrenergic Agonists and Antagonists Confers G Protein Bias. Journal of Medicinal Chemistry. 62(10). 5111–5131. 12 indexed citations
12.
Xu, Jun, Yunfei Hu, Jonas Kaindl, et al.. (2019). Conformational Complexity and Dynamics in a Muscarinic Receptor Revealed by NMR Spectroscopy. Molecular Cell. 75(1). 53–65.e7. 59 indexed citations
13.
Wifling, David, Christopher Pfleger, Jonas Kaindl, et al.. (2019). Basal Histamine H4 Receptor Activation: Agonist Mimicry by the Diphenylalanine Motif. Chemistry - A European Journal. 25(64). 14613–14624. 7 indexed citations
14.
Xu, Jun, Yunfei Hu, Jonas Kaindl, et al.. (2018). Conformational Complexity and Dynamics in a Gpcr Revealed by Nmr Spectroscopy. SSRN Electronic Journal. 1 indexed citations
15.
Liu, H, Jonas Kaindl, Ashutosh Banerjee, et al.. (2018). Structure-guided development of selective M3 muscarinic acetylcholine receptor antagonists. Proceedings of the National Academy of Sciences. 115(47). 12046–12050. 72 indexed citations
16.
Kaindl, Jonas, et al.. (2017). Potent haloperidol derivatives covalently binding to the dopamine D2 receptor. Bioorganic & Medicinal Chemistry. 25(19). 5084–5094. 11 indexed citations
17.
Weisenburger, S., Ashutosh Banerjee, Nirupam Purkayastha, et al.. (2016). Visualization and ligand-induced modulation of dopamine receptor dimerization at the single molecule level. Scientific Reports. 6(1). 33233–33233. 80 indexed citations
18.
Hübner, Harald, et al.. (2016). Structure-guided development of heterodimer-selective GPCR ligands. Nature Communications. 7(1). 12298–12298. 81 indexed citations
19.
Saleh, Noureldin, et al.. (2016). Identification of Two Distinct Sites for Antagonist and Biased Agonist Binding to the Human Chemokine Receptor CXCR3. Angewandte Chemie. 128(49). 15503–15507. 6 indexed citations
20.
Saleh, Noureldin, et al.. (2016). Identification of Two Distinct Sites for Antagonist and Biased Agonist Binding to the Human Chemokine Receptor CXCR3. Angewandte Chemie International Edition. 55(49). 15277–15281. 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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