Jens Sydor
About
Jens Sydor is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience.
According to data from OpenAlex, Jens Sydor has authored 25 papers receiving a total of 803 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jens Sydor's work include Computational Drug Discovery Methods (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). Jens Sydor is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Advanced Biosensing Techniques and Applications (3 papers). Jens Sydor collaborates with scholars based in United States, Germany and Japan. Jens Sydor's co-authors include Martin Engelhard, Beate Lüttenberg, R. Seidel, Georg Schmies, Igor Chizhov, Christian Herrmann, Martin Engelhard, Roger S. Goody, Steffen Nock and Alfred Wittinghofer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Analytical Chemistry.
In The Last Decade
Jens Sydor
25 papers receiving 774 citations
Peers
Jens Sydor
Andrea Piserchio United States
Asko Uri Estonia
Michael Churchill United States
Tom Wu United States
Alessandro Giolitti Italy
Venkatasubramanian Dharmarajan United States
Carl F. Homnick United States
Amaury E. Fernández‐Montalván Germany
Elzbieta Radzio‐Andzelm United States
Hacer Karataş United States
Citations per year, relative to Jens Sydor Jens Sydor (= 1×)
peers
Andrea Piserchio
Countries citing papers authored by Jens Sydor
Since
Specialization
Citations
This map shows the geographic impact of Jens Sydor'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 Jens Sydor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jens Sydor more than expected).
Fields of papers citing papers by Jens Sydor
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Jens Sydor. 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 Jens Sydor. The network helps show where Jens Sydor may publish in the future.
Co-authorship network of co-authors of Jens Sydor
This figure shows the co-authorship network connecting the top 25 collaborators of Jens Sydor. A scholar is included among the top collaborators of Jens Sydor 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 Jens Sydor. Jens Sydor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Roethke, Theresa J., et al.. (2023). Perspective on High-Throughput Bioanalysis to Support In Vitro Assays in Early Drug Discovery. Bioanalysis. 15(3). 177–191.
2.
Pillutla, Renuka, Boris Gorovits, Carol Gleason, et al.. (2020). Recommendations for Singlet-Based Approach in Ligand Binding Assays: An IQ Consortium Perspective. Bioanalysis. 12(12). 823–834.
3.
Kaur, Surinder, et al.. (2020). IQ Consortium Perspective: Complementary LBA and LC–MS in Protein Therapeutics Bioanalysis and Biotransformation Assessment. Bioanalysis. 12(4). 257–270.
4.
Liu, Hong, David M. Stresser, Xiaofeng Li, et al.. (2018). Metabolism and Disposition of a Novel Selective α7 Neuronal Acetylcholine Receptor Agonist ABT-126 in Humans: Characterization of the Major Roles for Flavin-Containing Monooxygenases and UDP-Glucuronosyl Transferase 1A4 and 2B10 in Catalysis. Drug Metabolism and Disposition. 46(4). 429–439.
5.
Wang, Ying, Hongyu Zhao, J.T. Brewer, et al.. (2018). De Novo Design, Synthesis, and Biological Evaluation of 3,4-Disubstituted Pyrrolidine Sulfonamides as Potent and Selective Glycine Transporter 1 Competitive Inhibitors. Journal of Medicinal Chemistry. 61(17). 7486–7502.
6.
Shebley, Mohamad, Jinrong Liu, Jens Sydor, et al.. (2017). Mechanisms and Predictions of Drug-Drug Interactions of the Hepatitis C Virus Three Direct-Acting Antiviral Regimen: Paritaprevir/Ritonavir, Ombitasvir, and Dasabuvir. Drug Metabolism and Disposition. 45(7). 755–764.
7.
Liu, Hong, Yanbin Lao, Katty Wan, et al.. (2016). Metabolism and Disposition of a Novel B-Cell Lymphoma-2 Inhibitor Venetoclax in Humans and Characterization of Its Unusual Metabolites. Drug Metabolism and Disposition. 45(3). 294–305.
8.
Shen, Jie, Michael D. Serby, Bruce W. Surber, et al.. (2016). Metabolism and Disposition of Pan-Genotypic Inhibitor of Hepatitis C Virus NS5A Ombitasvir in Humans. Drug Metabolism and Disposition. 44(8). 1148–1157.
9.
Laplanche, Loïc, Yasuo Uchida, Yutaro Hoshi, et al.. (2014). Genomic Knockout of Endogenous Canine P-Glycoprotein in Wild-Type, Human P-Glycoprotein and Human BCRP Transfected MDCKII Cell Lines by Zinc Finger Nucleases. Pharmaceutical Research. 32(6). 2060–2071.
10.
Backfisch, Gisela, et al.. (2014). High-Throughput Quantitative and Qualitative Analysis of Microsomal Incubations by Cocktail Analysis with an Ultraperformance Liquid Chromatography-Quadrupole Time-Of-Flight Mass Spectrometer System. Bioanalysis. 7(6). 671–683.
11.
Zhang, Jun, et al.. (2014). A High Efficiency, High Quality and Low Cost Internal Regulated Bioanalytical Laboratory to Support Drug Development Needs. Bioanalysis. 6(10). 1295–1309.
12.
Sydor, Jens, Igor V. Deyneko, Zachary Oaks, et al.. (2008). 570 POSTER Activity of IPI-926, a novel inhibitor of the HH pathway, in subcutaneous and orthotopically implanted xenograft tumors that express SHH ligand. European Journal of Cancer Supplements. 6(12). 179–179.
13.
Ge, Jie, Emmanuel Normant, James R. Porter, et al.. (2006). Design, Synthesis, and Biological Evaluation of Hydroquinone Derivatives of 17-Amino-17-demethoxygeldanamycin as Potent, Water-Soluble Inhibitors of Hsp90. Journal of Medicinal Chemistry. 49(15). 4606–4615.
14.
Siegel, David S., Sundar Jagannath, Amitabha Mazumder, et al.. (2006). Update on Phase I Clinical Trial of IPI-504, a Novel, Water-Soluble Hsp90 Inhibitor, in Patients with Relapsed/Refractory Multiple Myeloma (MM).. Blood. 108(11). 3579–3579.
15.
Sydor, Jens & Steffen Nock. (2003). Protein expression profiling arrays: tools for the multiplexed high-throughput analysis of proteins.. Proteome Science. 1(1). 3–3.
16.
Gellini, Cristina, Beate Lüttenberg, Jens Sydor, Martin Engelhard, & Peter Hildebrandt. (2000). Resonance Raman spectroscopy of sensory rhodopsin II from Natronobacterium pharaonis. FEBS Letters. 472(2-3). 263–266.
17.
Sydor, Jens, R. Seidel, Roger S. Goody, & Martin Engelhard. (1999). Cell‐free synthesis of the Ras‐binding domain of c‐Raf‐1: binding studies to fluorescently labelled H‐Ras. FEBS Letters. 452(3). 375–378.
18.
Sydor, Jens, Christian Herrmann, Stephen B. H. Kent, Roger S. Goody, & Martin Engelhard. (1999). Design, total chemical synthesis, and binding properties of a [Leu-91- N 1 -methyl-7-azaTrp]Ras-binding domain of c-Raf-1. Proceedings of the National Academy of Sciences. 96(14). 7865–7870.
19.
Sydor, Jens, Martin Engelhard, Alfred Wittinghofer, Roger S. Goody, & Christian Herrmann. (1998). Transient Kinetic Studies on the Interaction of Ras and the Ras-Binding Domain of c-Raf-1 Reveal Rapid Equilibration of the Complex. Biochemistry. 37(40). 14292–14299.
20.
Chizhov, Igor, Georg Schmies, R. Seidel, et al.. (1998). The Photophobic Receptor from Natronobacterium pharaonis: Temperature and pH Dependencies of the Photocycle of Sensory Rhodopsin II. Biophysical Journal. 75(2). 999–1009.
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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