Jennifer Otten

846 total citations
7 papers, 150 citations indexed

About

Jennifer Otten is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Jennifer Otten has authored 7 papers receiving a total of 150 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Oncology. Recurrent topics in Jennifer Otten's work include Melanoma and MAPK Pathways (3 papers), Cancer Mechanisms and Therapy (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Jennifer Otten is often cited by papers focused on Melanoma and MAPK Pathways (3 papers), Cancer Mechanisms and Therapy (2 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Jennifer Otten collaborates with scholars based in United States. Jennifer Otten's co-authors include Gary P. Hingorani, Dylan P. Hartley, Ronald B. Franklin, Susan P. Rhodes, Christophe Berini, Oscar Navarro, David A. Vicic, Robert Kirk DeLisle, Tammie C. Yeh and Patrice Lee and has published in prestigious journals such as Journal of Medicinal Chemistry, Chemistry - A European Journal and Cancer Chemotherapy and Pharmacology.

In The Last Decade

Jennifer Otten

7 papers receiving 148 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer Otten United States 5 63 55 46 33 21 7 150
Peter Fey Germany 7 42 0.7× 96 1.7× 56 1.2× 17 0.5× 15 0.7× 8 187
Jackie Shang United States 7 48 0.8× 106 1.9× 83 1.8× 36 1.1× 21 1.0× 10 249
Ulrike E. Hille Germany 11 148 2.3× 105 1.9× 104 2.3× 37 1.1× 43 2.0× 16 433
Lawrence L. Gan United States 6 33 0.5× 14 0.3× 29 0.6× 15 0.5× 13 0.6× 6 110
Carrie M. Mosher United States 7 86 1.4× 11 0.2× 32 0.7× 51 1.5× 25 1.2× 8 136
Guy E. Padbury United States 7 23 0.4× 77 1.4× 144 3.1× 84 2.5× 11 0.5× 15 276
Ruchia Duggal United States 8 107 1.7× 16 0.3× 68 1.5× 34 1.0× 15 0.7× 9 181
Lianyun Zhao United States 9 12 0.2× 123 2.2× 97 2.1× 22 0.7× 27 1.3× 18 238
Jessica E. Reed United States 9 63 1.0× 298 5.4× 62 1.3× 36 1.1× 11 0.5× 14 402
Chester Yuan United States 5 30 0.5× 50 0.9× 54 1.2× 31 0.9× 21 1.0× 7 155

Countries citing papers authored by Jennifer Otten

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Otten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Otten

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

All Works

7 of 7 papers shown
1.
Rahbæk, Lisa, Cornelius Cilliers, Christopher J. Wegerski, et al.. (2024). Absorption, single-dose and steady-state metabolism, excretion, and pharmacokinetics of adagrasib, a KRASG12C inhibitor. Cancer Chemotherapy and Pharmacology. 95(1). 7–7. 2 indexed citations
2.
Ren, Li, David Moreno‐Mateos, Brian R. Baer, et al.. (2024). Identification of the Clinical Candidate PF-07284890 (ARRY-461), a Highly Potent and Brain Penetrant BRAF Inhibitor for the Treatment of Cancer. Journal of Medicinal Chemistry. 67(15). 13019–13032. 1 indexed citations
3.
Otten, Jennifer, et al.. (2011). An In Vitro, High Throughput, Seven CYP Cocktail Inhibition Assay for the Evaluation of New Chemical Entities Using LC-MS/MS. Drug Metabolism Letters. 5(1). 17–24. 43 indexed citations
4.
DeLisle, Robert Kirk, Jennifer Otten, & Susan P. Rhodes. (2011). In Silico Modeling of P450 Substrates, Inhibitors, Activators, and Inducers. Combinatorial Chemistry & High Throughput Screening. 14(5). 396–416. 8 indexed citations
5.
Rhodes, Susan P., Jennifer Otten, Gary P. Hingorani, Dylan P. Hartley, & Ronald B. Franklin. (2010). Simultaneous assessment of cytochrome P450 activity in cultured human hepatocytes for compound-mediated induction of CYP3A4, CYP2B6, and CYP1A2. Journal of Pharmacological and Toxicological Methods. 63(3). 223–226. 26 indexed citations
6.
Berini, Christophe, et al.. (2010). Rapid and Selective Catalytic Oxidation of Secondary Alcohols at Room Temperature by Using (N‐Heterocyclic Carbene)–Ni0 Systems. Chemistry - A European Journal. 16(23). 6857–6860. 36 indexed citations
7.
Wallace, Eli M., Joseph P. Lyssikatos, James F. Blake, et al.. (2005). Potent and Selective Mitogen-Activated Protein Kinase Kinase (MEK) 1,2 Inhibitors. 1. 4-(4-Bromo-2-fluorophenylamino)-1- methylpyridin-2(1H)-ones. Journal of Medicinal Chemistry. 49(2). 441–444. 34 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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