Janet Caceres‐Cortes

506 total citations
24 papers, 283 citations indexed

About

Janet Caceres‐Cortes is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Janet Caceres‐Cortes has authored 24 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Oncology and 6 papers in Organic Chemistry. Recurrent topics in Janet Caceres‐Cortes's work include Pharmacogenetics and Drug Metabolism (4 papers), Analytical Chemistry and Chromatography (3 papers) and Computational Drug Discovery Methods (3 papers). Janet Caceres‐Cortes is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Analytical Chemistry and Chromatography (3 papers) and Computational Drug Discovery Methods (3 papers). Janet Caceres‐Cortes collaborates with scholars based in United States, India and Germany. Janet Caceres‐Cortes's co-authors include Andrew H.‐J. Wang, Isao Saito, Hiroshi Sugiyama, Michael D. Reily, W. Griffith Humphreys, Luciano Mueller, Donglu Zhang, Jinping Gan, Alban J. Allentoff and Abigail G. Doyle and has published in prestigious journals such as Nature Communications, Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Janet Caceres‐Cortes

23 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janet Caceres‐Cortes United States 12 175 95 88 44 33 24 283
Adria Colletti United States 13 131 0.7× 90 0.9× 59 0.7× 90 2.0× 20 0.6× 24 372
Santhosh Sivaramakrishnan United States 11 184 1.1× 43 0.5× 86 1.0× 77 1.8× 65 2.0× 13 362
Jonathan Z. Ho United States 13 121 0.7× 41 0.4× 182 2.1× 28 0.6× 13 0.4× 27 368
Upendra P. Dahal United States 12 177 1.0× 74 0.8× 86 1.0× 94 2.1× 11 0.3× 17 320
Suvi T. M. Orr United States 6 114 0.7× 67 0.7× 57 0.6× 129 2.9× 22 0.7× 6 273
Kenneth Crawford United States 13 241 1.4× 93 1.0× 313 3.6× 107 2.4× 17 0.5× 16 615
Ellen K. Kick United States 9 252 1.4× 61 0.6× 161 1.8× 14 0.3× 12 0.4× 11 385
Stuart Jones United Kingdom 12 220 1.3× 141 1.5× 172 2.0× 15 0.3× 17 0.5× 16 424
Elyse M. Petrunak United States 12 179 1.0× 57 0.6× 57 0.6× 136 3.1× 22 0.7× 14 393
Delphine S. Fischer United Kingdom 9 198 1.1× 71 0.7× 136 1.5× 48 1.1× 8 0.2× 9 460

Countries citing papers authored by Janet Caceres‐Cortes

Since Specialization
Citations

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

Fields of papers citing papers by Janet Caceres‐Cortes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet Caceres‐Cortes. 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 Janet Caceres‐Cortes. The network helps show where Janet Caceres‐Cortes may publish in the future.

Co-authorship network of co-authors of Janet Caceres‐Cortes

This figure shows the co-authorship network connecting the top 25 collaborators of Janet Caceres‐Cortes. A scholar is included among the top collaborators of Janet Caceres‐Cortes 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 Janet Caceres‐Cortes. Janet Caceres‐Cortes 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.
Xie, Tao, Max Ruzanov, David Critton, et al.. (2025). Orthosteric STING inhibition elucidates molecular correction of SAVI STING. Nature Communications. 16(1). 5695–5695. 2 indexed citations
2.
3.
Jain, Ajay N., Alexander C. Brueckner, Christine Jorge, et al.. (2023). Complex peptide macrocycle optimization: combining NMR restraints with conformational analysis to guide structure-based and ligand-based design. Journal of Computer-Aided Molecular Design. 37(11). 519–535. 5 indexed citations
4.
Kumar, Sumit, Siddheshwar K. Chauthe, A. Gupta, et al.. (2023). A strategy for evaluation of isotopic enrichment and structural integrity of deuterium labelled compounds by using HR-MS and NMR. Analytical Methods. 15(11). 1470–1477. 1 indexed citations
5.
Khandelwal, Purnima, et al.. (2021). Pharmacokinetics of 40 kDa Polyethylene glycol (PEG) in mice, rats, cynomolgus monkeys and predicted pharmacokinetics in humans. European Journal of Pharmaceutical Sciences. 165. 105928–105928. 3 indexed citations
6.
Wallace, Michael A., Alban J. Allentoff, David J. Donnelly, et al.. (2020). Chemoselective Methionine Bioconjugation: Site-Selective Fluorine-18 Labeling of Proteins and Peptides. Bioconjugate Chemistry. 31(8). 1908–1916. 22 indexed citations
7.
Khandelwal, Purnima, Lisa Zhang, Anjaneya Chimalakonda, et al.. (2019). Pharmacokinetics of 40 kDa PEG in rodents using high-field NMR spectroscopy. Journal of Pharmaceutical and Biomedical Analysis. 171. 30–34. 8 indexed citations
8.
Zhao, Weiping, Wenying Li, Ang Liu, et al.. (2018). Characterization of the major metabolites found after plasma metabolite profiling of a BTK inhibitor, BMS-986142, in FIH studies. Drug Metabolism and Pharmacokinetics. 33(1). S45–S45. 2 indexed citations
9.
10.
Cao, Kai, John A. Brailsford, Ming Yao, et al.. (2016). Synthesis of unlabelled and stable‐isotope–labelled glucuronide metabolites of dapagliflozin and synthesis of stable‐isotope–labelled dapagliflozin. Journal of Labelled Compounds and Radiopharmaceuticals. 60(3). 150–159. 2 indexed citations
11.
12.
Zhang, Donglu, Oliver Flint, Lifei Wang, et al.. (2012). Cytochrome P450 11A1 Bioactivation of a Kinase Inhibitor in Rats: Use of Radioprofiling, Modulation of Metabolism, and Adrenocortical Cell Lines to Evaluate Adrenal Toxicity. Chemical Research in Toxicology. 25(3). 556–571. 17 indexed citations
13.
Gong, Jiachang, Jinping Gan, Janet Caceres‐Cortes, et al.. (2011). Metabolism and Disposition of [14C]Brivanib Alaninate after Oral Administration to Rats, Monkeys, and Humans. Drug Metabolism and Disposition. 39(5). 891–903. 13 indexed citations
14.
Chen, Weiqi, Janet Caceres‐Cortes, Haiying Zhang, et al.. (2011). Bioactivation of Substituted Thiophenes Including α-Chlorothiophene-Containing Compounds in Human Liver Microsomes. Chemical Research in Toxicology. 24(5). 663–669. 16 indexed citations
15.
Hong, Haizheng, Hong Su, Alban J. Allentoff, et al.. (2010). Metabolism and Disposition of [14C]BMS-690514 after Oral Administration to Rats, Rabbits, and Dogs. Drug Metabolism and Disposition. 38(7). 1189–1201. 4 indexed citations
16.
Caceres‐Cortes, Janet & Michael D. Reily. (2010). NMR Spectroscopy as a Tool to Close The Gap on Metabolite Characterization Under MIST. Bioanalysis. 2(7). 1263–1276. 11 indexed citations
17.
18.
Ellsworth, Bruce A., Abigail G. Doyle, Manorama M. Patel, et al.. (2003). C-Arylglucoside synthesis: triisopropylsilane as a selective reagent for the reduction of an anomeric C-phenyl ketal. Tetrahedron Asymmetry. 14(20). 3243–3247. 33 indexed citations
19.
Caceres‐Cortes, Janet, et al.. (1997). Structures of Cobalt(III)‐Pepleomycin and Cobalt(III)‐Deglycopepleomycin (green forms) Determined by NMR Studies. European Journal of Biochemistry. 244(3). 818–828. 40 indexed citations
20.
Caceres‐Cortes, Janet & Andrew H.‐J. Wang. (1996). Binding of the Antitumor Drug Nogalamycin to Bulged DNA Structures. Biochemistry. 35(2). 616–625. 16 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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