Joel Karpiak

1.6k total citations
14 papers, 991 citations indexed

About

Joel Karpiak is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Joel Karpiak has authored 14 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 4 papers in Computational Theory and Mathematics. Recurrent topics in Joel Karpiak's work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (6 papers) and Computational Drug Discovery Methods (4 papers). Joel Karpiak is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (6 papers) and Computational Drug Discovery Methods (4 papers). Joel Karpiak collaborates with scholars based in United States, France and Italy. Joel Karpiak's co-authors include Brian K. Shoichet, Bryan L. Roth, Jian Jin, Xi‐Ping Huang, Stefano Costanzi, John D. McCorvy, Wesley K. Kroeze, Santiago Vilar, Frank I. Carroll and Jing Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Current Biology.

In The Last Decade

Joel Karpiak

14 papers receiving 974 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joel Karpiak United States 13 729 330 224 153 103 14 991
Saskia Nijmeijer Netherlands 18 626 0.9× 246 0.7× 134 0.6× 214 1.4× 47 0.5× 30 841
Tara Mirzadegan United States 16 933 1.3× 301 0.9× 200 0.9× 255 1.7× 61 0.6× 25 1.5k
Lorena A. Kallal United States 13 732 1.0× 291 0.9× 58 0.3× 67 0.4× 47 0.5× 25 895
Tamara Tsalkova United States 22 1.1k 1.5× 150 0.5× 53 0.2× 89 0.6× 104 1.0× 28 1.5k
Mohammad D. Bazzi United States 24 1.4k 1.9× 203 0.6× 131 0.6× 132 0.9× 204 2.0× 42 1.7k
Lars‐Ole Gerlach Denmark 11 478 0.7× 191 0.6× 53 0.2× 235 1.5× 176 1.7× 14 1.0k
Christian Watson United States 5 554 0.8× 338 1.0× 94 0.4× 112 0.7× 30 0.3× 6 779
Joyce T. Coll United States 8 913 1.3× 191 0.6× 126 0.6× 60 0.4× 60 0.6× 11 1.1k
Kristoff T. Homan United States 17 755 1.0× 363 1.1× 68 0.3× 31 0.2× 45 0.4× 26 898
Franziska M. Heydenreich Switzerland 15 1.4k 1.9× 734 2.2× 126 0.6× 78 0.5× 36 0.3× 21 1.6k

Countries citing papers authored by Joel Karpiak

Since Specialization
Citations

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

Fields of papers citing papers by Joel Karpiak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joel Karpiak

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

All Works

14 of 14 papers shown
1.
Koller, Beverly H., Alice Jiang, Jian Jin, et al.. (2020). Allosteric ligands for the pharmacologically dark receptors GPR68 and GPR65. UNC Libraries. 1 indexed citations
2.
Weiss, Dahlia R., Joel Karpiak, Xi‐Ping Huang, et al.. (2018). Selectivity Challenges in Docking Screens for GPCR Targets and Antitargets. Journal of Medicinal Chemistry. 61(15). 6830–6845. 30 indexed citations
3.
Lansu, Katherine, Joel Karpiak, Jing Liu, et al.. (2017). In silico design of novel probes for the atypical opioid receptor MRGPRX2. Nature Chemical Biology. 13(5). 529–536. 217 indexed citations
4.
McCorvy, John D., Kyle V. Butler, Brendan Kelly, et al.. (2017). Structure-inspired design of β-arrestin-biased ligands for aminergic GPCRs. Nature Chemical Biology. 14(2). 126–134. 131 indexed citations
5.
Rettenmaier, T.J., Hao Fan, Joel Karpiak, et al.. (2015). Small-Molecule Allosteric Modulators of the Protein Kinase PDK1 from Structure-Based Docking. Journal of Medicinal Chemistry. 58(20). 8285–8291. 26 indexed citations
6.
Huang, Xi‐Ping, Joel Karpiak, Wesley K. Kroeze, et al.. (2015). Allosteric ligands for the pharmacologically dark receptors GPR68 and GPR65. Nature. 527(7579). 477–483. 197 indexed citations
7.
Avasthi, Prachee, Masayuki Onishi, Joel Karpiak, et al.. (2014). Actin Is Required for IFT Regulation in Chlamydomonas reinhardtii. Current Biology. 24(17). 2025–2032. 49 indexed citations
8.
Melero, Cristina, Noah Ollikainen, Ian Harwood, Joel Karpiak, & Tanja Kortemme. (2014). Quantification of the transferability of a designed protein specificity switch reveals extensive epistasis in molecular recognition. Proceedings of the National Academy of Sciences. 111(43). 15426–15431. 18 indexed citations
9.
Mysinger, Michael M., Dahlia R. Weiss, Joshua J. Ziarek, et al.. (2012). Structure-based ligand discovery for the protein–protein interface of chemokine receptor CXCR4. Proceedings of the National Academy of Sciences. 109(14). 5517–5522. 107 indexed citations
10.
Vilar, Santiago, Joel Karpiak, Barkın Berk, & Stefano Costanzi. (2011). In silico analysis of the binding of agonists and blockers to the β2-adrenergic receptor. Journal of Molecular Graphics and Modelling. 29(6). 809–817. 42 indexed citations
11.
Hu, Jianxin, Yan Wang, Xiaohong Zhang, et al.. (2010). Structural basis of G protein–coupled receptor–G protein interactions. Nature Chemical Biology. 6(7). 541–548. 64 indexed citations
12.
Eidam, O., Chiara Romagnoli, Emilia Caselli, et al.. (2010). Design, Synthesis, Crystal Structures, and Antimicrobial Activity of Sulfonamide Boronic Acids as β-Lactamase Inhibitors. Journal of Medicinal Chemistry. 53(21). 7852–7863. 56 indexed citations
13.
Rosemond, Erica, Joel Karpiak, Francesca Deflorian, et al.. (2009). Structural basis of the selectivity of the β2-adrenergic receptor for fluorinated catecholamines. Bioorganic & Medicinal Chemistry. 17(23). 7987–7992. 15 indexed citations
14.
Vilar, Santiago, Joel Karpiak, & Stefano Costanzi. (2009). Ligand and structure‐based models for the prediction of ligand‐receptor affinities and virtual screenings: Development and application to the β2‐adrenergic receptor. Journal of Computational Chemistry. 31(4). 707–720. 38 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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