Kevin D. Rynearson

940 total citations
19 papers, 600 citations indexed

About

Kevin D. Rynearson is a scholar working on Physiology, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Kevin D. Rynearson has authored 19 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 6 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Kevin D. Rynearson's work include Alzheimer's disease research and treatments (11 papers), Computational Drug Discovery Methods (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Kevin D. Rynearson is often cited by papers focused on Alzheimer's disease research and treatments (11 papers), Computational Drug Discovery Methods (4 papers) and Neuroscience and Neuropharmacology Research (3 papers). Kevin D. Rynearson collaborates with scholars based in United States, Netherlands and India. Kevin D. Rynearson's co-authors include Steven L. Wagner, Thomas Hermann, Lawrence S.B. Goldstein, Martin Giera, Lauren Fong, Vanessa F. Langness, Cheryl Herrera, Rik van der Kant, Jos F. Brouwers and J. Bernd Helms and has published in prestigious journals such as The Journal of Experimental Medicine, ACS Nano and Biochemistry.

In The Last Decade

Kevin D. Rynearson

19 papers receiving 589 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kevin D. Rynearson United States 12 301 234 83 82 67 19 600
Indrani Ray United States 11 313 1.0× 294 1.3× 87 1.0× 36 0.4× 35 0.5× 19 651
Emmanuel Sturchler United States 13 527 1.8× 148 0.6× 177 2.1× 19 0.2× 32 0.5× 20 784
Xuemei Feng China 15 342 1.1× 142 0.6× 44 0.5× 20 0.2× 38 0.6× 30 597
Т. Т. Березов Russia 12 227 0.8× 194 0.8× 44 0.5× 39 0.5× 31 0.5× 48 501
David Bode Germany 13 322 1.1× 316 1.4× 47 0.6× 17 0.2× 41 0.6× 23 703
Jing‐Hung Wang United States 8 326 1.1× 177 0.8× 43 0.5× 77 0.9× 15 0.2× 11 631
Andrew J. Payne United States 11 223 0.7× 106 0.5× 122 1.5× 30 0.4× 18 0.3× 20 488
Miriam Redondo Spain 16 548 1.8× 71 0.3× 89 1.1× 67 0.8× 21 0.3× 25 808
Pei‐Chuan Ho Taiwan 10 252 0.8× 185 0.8× 49 0.6× 15 0.2× 18 0.3× 13 510
Massimo Messa Italy 12 366 1.2× 425 1.8× 60 0.7× 14 0.2× 72 1.1× 14 738

Countries citing papers authored by Kevin D. Rynearson

Since Specialization
Citations

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

Fields of papers citing papers by Kevin D. Rynearson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin D. Rynearson. 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 Kevin D. Rynearson. The network helps show where Kevin D. Rynearson may publish in the future.

Co-authorship network of co-authors of Kevin D. Rynearson

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

All Works

19 of 19 papers shown
1.
Thorwald, Max A., Mafalda Cacciottolo, Carla D’Agostino, et al.. (2024). Air pollution amyloidogenesis is attenuated by the gamma‐secretase modulator GSM‐15606. Alzheimer s & Dementia. 20(9). 6107–6114. 3 indexed citations
2.
Chen, Xu‐Qiao, Ann Becker, Ricardo Albay, et al.. (2024). γ‐Secretase Modulator BPN15606 Reduced Aβ42 and Aβ40 and Countered Alzheimer‐Related Pathologies in a Mouse Model of Down Syndrome. Annals of Neurology. 96(2). 390–404. 5 indexed citations
3.
Chen, Xu‐Qiao, Mariko Sawa, Ann Becker, et al.. (2023). Retromer Proteins Reduced in Down Syndrome and the Dp16 Model: Impact ofAPPDose and Preclinical Studies of a γ‐Secretase Modulator. Annals of Neurology. 94(2). 245–258. 6 indexed citations
4.
Caldwell, Andrew B., Can Zhang, Gary P. Schroth, et al.. (2022). Endotype reversal as a novel strategy for screening drugs targeting familial Alzheimer's disease. Alzheimer s & Dementia. 18(11). 2117–2130. 12 indexed citations
5.
Xu, Yulong, Changning Wang, Hsiao‐Ying Wey, et al.. (2020). Molecular imaging of Alzheimer’s disease–related gamma-secretase in mice and nonhuman primates. The Journal of Experimental Medicine. 217(12). 26 indexed citations
6.
Rynearson, Kevin D., R. Jason Herr, Xinchao Chen, et al.. (2020). Design and synthesis of novel methoxypyridine-derived gamma-secretase modulators. Bioorganic & Medicinal Chemistry. 28(22). 115734–115734. 7 indexed citations
7.
Barros, Marilia, William J. Houlihan, Chelsea Paresi, et al.. (2020). γ-Secretase Partitioning into Lipid Bilayers Remodels Membrane Microdomains after Direct Insertion. Langmuir. 36(23). 6569–6579. 5 indexed citations
8.
Prikhodko, Olga, Kevin D. Rynearson, Phuong D. Nguyen, et al.. (2020). The GSM BPN-15606 as a Potential Candidate for Preventative Therapy in Alzheimer’s Disease. Journal of Alzheimer s Disease. 73(4). 1541–1554. 11 indexed citations
9.
Kant, Rik van der, Vanessa F. Langness, Cheryl Herrera, et al.. (2019). Cholesterol Metabolism Is a Druggable Axis that Independently Regulates Tau and Amyloid-β in iPSC-Derived Alzheimer’s Disease Neurons. Cell stem cell. 24(3). 363–375.e9. 231 indexed citations
10.
Raven, Frank, Joseph Ward, Katarzyna Marta Zoltowska, et al.. (2017). Soluble Gamma-secretase Modulators Attenuate Alzheimer's β-amyloid Pathology and Induce Conformational Changes in Presenilin 1. EBioMedicine. 24. 93–101. 23 indexed citations
11.
Wagner, Steven L., Kevin D. Rynearson, Steven K. Duddy, et al.. (2017). Pharmacological and Toxicological Properties of the Potent Oral γ-Secretase Modulator BPN-15606. Journal of Pharmacology and Experimental Therapeutics. 362(1). 31–44. 35 indexed citations
12.
Rynearson, Kevin D., Keith D. Barnes, R. Jason Herr, et al.. (2016). Design and synthesis of aminothiazole modulators of the gamma-secretase enzyme. Bioorganic & Medicinal Chemistry Letters. 26(16). 3928–3937. 12 indexed citations
13.
Rynearson, Kevin D., et al.. (2014). 2-Aminobenzoxazole ligands of the hepatitis C virus internal ribosome entry site. Bioorganic & Medicinal Chemistry Letters. 24(15). 3521–3525. 23 indexed citations
14.
Shasha, Carolyn, et al.. (2014). Nanopore-Based Conformational Analysis of a Viral RNA Drug Target. ACS Nano. 8(6). 6425–6430. 64 indexed citations
15.
16.
Zhou, Shuo, et al.. (2013). Screening for inhibitors of the hepatitis C virus internal ribosome entry site RNA. Bioorganic & Medicinal Chemistry. 21(20). 6139–6144. 28 indexed citations
17.
Dibrov, Sergey M., Jerod Parsons, Maia Carnevali, et al.. (2013). Hepatitis C Virus Translation Inhibitors Targeting the Internal Ribosomal Entry Site. Journal of Medicinal Chemistry. 57(5). 1694–1707. 62 indexed citations
18.
Rynearson, Kevin D., Sanjay Dutta, Kiet Tran, Sergey M. Dibrov, & Thomas Hermann. (2013). Synthesis of Oxazole Analogs of Streptolidine Lactam. European Journal of Organic Chemistry. 2013(32). 7337–7342. 3 indexed citations
19.
Dutta, Sanjay, et al.. (2009). 1,3-Diazepanes of Natural Product-Like Complexity from Cyanamide-Induced Rearrangement of Epoxy-δ-lactams. Organic Letters. 12(2). 360–363. 10 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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