Anthony Carlo

2.8k total citations
16 papers, 606 citations indexed

About

Anthony Carlo is a scholar working on Molecular Biology, Pharmacology and Oncology. According to data from OpenAlex, Anthony Carlo has authored 16 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Pharmacology and 6 papers in Oncology. Recurrent topics in Anthony Carlo's work include Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Anthony Carlo is often cited by papers focused on Pharmacogenetics and Drug Metabolism (7 papers), Drug Transport and Resistance Mechanisms (5 papers) and Metabolomics and Mass Spectrometry Studies (3 papers). Anthony Carlo collaborates with scholars based in United States, China and Germany. Anthony Carlo's co-authors include Sheryl A. McCarthy, Timothy Coskran, Robert D. Williams, Robert B. Nelson, Amy Jakowski, John D. McNeish, John E. Burkhardt, Nestor X. Barrezueta, Patricia A. Seymour and Michael K. Ahlijanian and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Anthony Carlo

15 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Carlo United States 11 288 163 143 96 83 16 606
Corinne E. Augelli‐Szafran United States 21 599 2.1× 144 0.9× 78 0.5× 175 1.8× 89 1.1× 62 1.1k
О.А. Бунеева Russia 18 610 2.1× 108 0.7× 84 0.6× 162 1.7× 26 0.3× 90 1.0k
Lorraine Morlock United States 17 583 2.0× 148 0.9× 80 0.6× 155 1.6× 143 1.7× 18 1.0k
Jen‐Shin Song Taiwan 22 625 2.2× 91 0.6× 273 1.9× 132 1.4× 80 1.0× 58 1.4k
Eddine Saiah United States 21 468 1.6× 83 0.5× 68 0.5× 77 0.8× 37 0.4× 31 973
Hélène Perrier Canada 13 531 1.8× 185 1.1× 67 0.5× 78 0.8× 66 0.8× 19 944
Maria Monica Barzago Italy 17 524 1.8× 67 0.4× 84 0.6× 39 0.4× 59 0.7× 39 805
Anna Barańczyk‐Kuźma Poland 17 436 1.5× 129 0.8× 144 1.0× 72 0.8× 114 1.4× 76 974
Jinsai Shang United States 16 441 1.5× 135 0.8× 67 0.5× 137 1.4× 51 0.6× 26 911
Krisztina Bögi United States 12 712 2.5× 55 0.3× 91 0.6× 88 0.9× 57 0.7× 12 856

Countries citing papers authored by Anthony Carlo

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Carlo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Carlo

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

All Works

16 of 16 papers shown
1.
Liu, Jianhua, Anthony Carlo, Woodrow Burchett, et al.. (2024). Novel Multiplexed High Throughput Screening of Selective Inhibitors for Drug-Metabolizing Enzymes Using Human Hepatocytes. The AAPS Journal. 26(3). 36–36. 3 indexed citations
2.
Zhang, Sam, Christine C. Orozco, Anthony Carlo, et al.. (2024). Characterization and Applications of Permeabilized Hepatocytes in Drug Discovery. The AAPS Journal. 26(3). 38–38.
3.
Tess, David A., George Chang, Christopher Keefer, et al.. (2023). In Vitro-In Vivo Extrapolation and Scaling Factors for Clearance of Human and Preclinical Species with Liver Microsomes and Hepatocytes. The AAPS Journal. 25(3). 40–40. 26 indexed citations
4.
Keefer, Christopher, George Chang, Li Di, et al.. (2023). The Comparison of Machine Learning and Mechanistic In Vitro–In Vivo Extrapolation Models for the Prediction of Human Intrinsic Clearance. Molecular Pharmaceutics. 20(11). 5616–5630. 13 indexed citations
5.
Choi, Chulho, Anthony Carlo, Ciarán N. Cronin, et al.. (2022). Synthesis of Deuterated Heterocycles with Me 2 NCD(OMe) 2 and Evaluation of the Products for Metabolism by Aldehyde Oxidase. ACS Medicinal Chemistry Letters. 13(2). 250–256. 4 indexed citations
7.
Litchfield, John, David A. Tess, Anthony Carlo, et al.. (2020). A Physiologically Based in Silico Tool to Assess the Risk of Drug-Related Crystalluria. Journal of Medicinal Chemistry. 63(12). 6489–6498. 10 indexed citations
8.
Trapa, Patrick, Matthew D. Troutman, Travis T. Wager, et al.. (2019). In Vitro–In Vivo Extrapolation of Key Transporter Activity at the Blood–Brain Barrier. Drug Metabolism and Disposition. 47(4). 405–411. 28 indexed citations
9.
Kimoto, Emi, Sumathy Mathialagan, Laurie Tylaska, et al.. (2018). Organic Anion Transporter 2–Mediated Hepatic Uptake Contributes to the Clearance of High-Permeability–Low-Molecular-Weight Acid and Zwitterion Drugs: Evaluation Using 25 Drugs. Journal of Pharmacology and Experimental Therapeutics. 367(2). 322–334. 46 indexed citations
10.
Sammons, M. F., Sujay V. Kharade, Kevin J. Filipski, et al.. (2018). Discovery and in Vitro Optimization of 3-Sulfamoylbenzamides as ROMK Inhibitors. ACS Medicinal Chemistry Letters. 9(2). 125–130. 3 indexed citations
11.
Stevens, Benjamin D., John Litchfield, Jeffrey A. Pfefferkorn, et al.. (2013). Discovery of an intravenous hepatoselective glucokinase activator for the treatment of inpatient hyperglycemia. Bioorganic & Medicinal Chemistry Letters. 23(24). 6588–6592. 10 indexed citations
12.
Schumann, G., Anthony Carlo, Poul J. Jørgensen, et al.. (2006). IFCC primary reference procedures for the measurement of catalytic activity concentrations of enzymes at 378C. 23 indexed citations
13.
Wright, Stephen W., Anthony Carlo, Dennis E. Danley, et al.. (2003). 3-(2-Carboxy-ethyl)-4,6-dichloro-1H-indole-2-carboxylic acid: an allosteric inhibitor of fructose-1,6-bisphosphatase at the AMP site. Bioorganic & Medicinal Chemistry Letters. 13(12). 2055–2058. 45 indexed citations
14.
Wright, Stephen W., Anthony Carlo, Maynard D. Carty, et al.. (2002). Anilinoquinazoline Inhibitors of Fructose 1,6-Bisphosphatase Bind at a Novel Allosteric Site:  Synthesis, In Vitro Characterization, and X-ray Crystallography. Journal of Medicinal Chemistry. 45(18). 3865–3877. 73 indexed citations
15.
Wright, Stephen W., David Hageman, Lester D. McClure, et al.. (2001). Allosteric inhibition of fructose-1,6-bisphosphatase by anilinoquinazolines. Bioorganic & Medicinal Chemistry Letters. 11(1). 17–21. 34 indexed citations
16.
Ahlijanian, Michael K., Nestor X. Barrezueta, Robert D. Williams, et al.. (2000). Hyperphosphorylated tau and neurofilament and cytoskeletal disruptions in mice overexpressing human p25, an activator of cdk5. Proceedings of the National Academy of Sciences. 97(6). 2910–2915. 282 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026