Aaron M. Teitelbaum

518 total citations
24 papers, 385 citations indexed

About

Aaron M. Teitelbaum is a scholar working on Molecular Biology, Pharmacology and Infectious Diseases. According to data from OpenAlex, Aaron M. Teitelbaum has authored 24 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Pharmacology and 3 papers in Infectious Diseases. Recurrent topics in Aaron M. Teitelbaum's work include Pharmacogenetics and Drug Metabolism (8 papers), Reproductive tract infections research (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Aaron M. Teitelbaum is often cited by papers focused on Pharmacogenetics and Drug Metabolism (8 papers), Reproductive tract infections research (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Aaron M. Teitelbaum collaborates with scholars based in United States, Germany and France. Aaron M. Teitelbaum's co-authors include Courtney C. Aldrich, Daniel J. Wilson, Evan D. Kharasch, Rory P. Remmel, Andrew M. Gulick, Ce Shi, James Blanchard, Melissa Robbiani, Michael Piatak and Jessica Kenney and has published in prestigious journals such as PLoS ONE, Biochemistry and Journal of Lipid Research.

In The Last Decade

Aaron M. Teitelbaum

22 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron M. Teitelbaum United States 11 124 113 94 70 65 24 385
Noor Rahman Pakistan 11 279 2.3× 139 1.2× 15 0.2× 36 0.5× 52 0.8× 26 522
Poonam Patil India 10 66 0.5× 106 0.9× 44 0.5× 33 0.5× 35 0.5× 27 330
Tahziba Hussain India 15 133 1.1× 231 2.0× 21 0.2× 19 0.3× 166 2.6× 51 619
Kerry L. Fillgrove United States 15 304 2.5× 248 2.2× 24 0.3× 137 2.0× 136 2.1× 28 802
Shaza W. Shantier Sudan 10 186 1.5× 119 1.1× 16 0.2× 35 0.5× 39 0.6× 40 379
Katya Govender South Africa 10 38 0.3× 110 1.0× 17 0.2× 50 0.7× 62 1.0× 16 235
Siwaporn Boonyasuppayakorn Thailand 14 105 0.8× 126 1.1× 9 0.1× 65 0.9× 28 0.4× 41 531
David C. Delinsky United States 7 64 0.5× 258 2.3× 39 0.4× 183 2.6× 129 2.0× 10 444
Sathishkumar Chinnasamy India 11 208 1.7× 117 1.0× 13 0.1× 10 0.1× 21 0.3× 18 400
Marylin Madamet France 14 75 0.6× 77 0.7× 10 0.1× 19 0.3× 67 1.0× 32 542

Countries citing papers authored by Aaron M. Teitelbaum

Since Specialization
Citations

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

Fields of papers citing papers by Aaron M. Teitelbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aaron M. Teitelbaum. 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 Aaron M. Teitelbaum. The network helps show where Aaron M. Teitelbaum may publish in the future.

Co-authorship network of co-authors of Aaron M. Teitelbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Aaron M. Teitelbaum. A scholar is included among the top collaborators of Aaron M. Teitelbaum 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 Aaron M. Teitelbaum. Aaron M. Teitelbaum 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
2.
Gonnella, Nina C., et al.. (2024). Biosynthesis of the BI 894416 metabolite M398(2) using microbial enzymes. Drug Metabolism and Pharmacokinetics. 55. 100905–100905. 1 indexed citations
3.
Teitelbaum, Aaron M., et al.. (2024). Addressing the ADME Challenges of Compound Loss in a PDMS-Based Gut-on-Chip Microphysiological System. Pharmaceutics. 16(3). 296–296. 7 indexed citations
4.
Chan, Tom S., et al.. (2023). Characterization of Divergent Metabolic Pathways in Elucidating an Unexpected, Slow-Forming, and Long Half-Life Major Metabolite of Iclepertin. Pharmaceutical Research. 40(8). 1901–1913. 4 indexed citations
5.
Khojasteh, S. Cyrus, Upendra A. Argikar, James P. Driscoll, et al.. (2021). Novel advances in biotransformation and bioactivation research – 2020 year in review. Drug Metabolism Reviews. 53(3). 384–433. 6 indexed citations
6.
Kramlinger, Valerie M., Deepak Dalvie, Amit S. Kalgutkar, et al.. (2021). Future of Biotransformation Science in the Pharmaceutical Industry. Drug Metabolism and Disposition. 50(3). 258–267. 12 indexed citations
8.
McDonald, Matthew G., Catherine K. Yeung, Aaron M. Teitelbaum, et al.. (2019). A new LC-MS assay for the quantitative analysis of vitamin K metabolites in human urine. Journal of Lipid Research. 60(4). 892–899. 2 indexed citations
9.
Teitelbaum, Aaron M., Matthew G. McDonald, Michele Scian, et al.. (2018). Influence of Stereochemistry on the Bioactivation and Glucuronidation of 4-Ipomeanol. Journal of Pharmacology and Experimental Therapeutics. 368(2). 308–316. 4 indexed citations
10.
Zeng, Xingzhong, et al.. (2018). N-Methylation of BI 187004 by Thiol S-Methyltransferase. Drug Metabolism and Disposition. 46(6). 770–778. 4 indexed citations
11.
Teitelbaum, Aaron M., Sharon E. Murphy, Gustav Akk, et al.. (2017). Nicotine dependence is associated with functional variation in FMO3, an enzyme that metabolizes nicotine in the brain. The Pharmacogenomics Journal. 18(1). 136–143. 12 indexed citations
13.
Teitelbaum, Aaron M., et al.. (2016). Species Differences in Microsomal Oxidation and Glucuronidation of 4-Ipomeanol: Relationship to Target Organ Toxicity. Drug Metabolism and Disposition. 44(10). 1598–1602. 9 indexed citations
14.
Teitelbaum, Aaron M., Michele Scian, Wendel L. Nelson, & Allan E. Rettie. (2015). Efficient Syntheses of Vitamin K Chain-Shortened Acid Metabolites. Synthesis. 47(7). 944–948. 7 indexed citations
15.
Teitelbaum, Aaron M., et al.. (2013). Synthesis, pH-dependent, and plasma stability of meropenem prodrugs for potential use against drug-resistant tuberculosis. Bioorganic & Medicinal Chemistry. 21(17). 5605–5617. 24 indexed citations
16.
Teitelbaum, Aaron M., Jose L. Gallardo, Rajan Giri, et al.. (2012). 9-Amino acridine pharmacokinetics, brain distribution, and in vitro/in vivo efficacy against malignant glioma. Cancer Chemotherapy and Pharmacology. 69(6). 1519–1527. 10 indexed citations
17.
Neres, João, J.M. Williams, Daniel J. Wilson, et al.. (2010). Inhibitors of the Salicylate Synthase (MbtI) from Mycobacterium tuberculosis Discovered by High‐Throughput Screening. ChemMedChem. 5(12). 2079–2087. 44 indexed citations
18.
Aravantinou, Meropi, Onome Akpogheneta, Edith Jasny, et al.. (2009). A Macaque Model to Study Vaginal HSV-2/Immunodeficiency Virus Co-Infection and the Impact of HSV-2 on Microbicide Efficacy. PLoS ONE. 4(11). e8060–e8060. 52 indexed citations
19.
Turville, Stuart, Meropi Aravantinou, Todd Miller, et al.. (2008). Efficacy of Carraguard®-Based Microbicides In Vivo Despite Variable In Vitro Activity. PLoS ONE. 3(9). e3162–e3162. 67 indexed citations
20.
Wallace, Andrea, Aaron M. Teitelbaum, Livia Wan, et al.. (2007). Determining the feasibility of utilizing the microbicide applicator compliance assay for use in clinical trials. Contraception. 76(1). 53–56. 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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