Charles Bon

725 total citations
24 papers, 471 citations indexed

About

Charles Bon is a scholar working on Pharmaceutical Science, Dermatology and Immunology. According to data from OpenAlex, Charles Bon has authored 24 papers receiving a total of 471 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmaceutical Science, 5 papers in Dermatology and 5 papers in Immunology. Recurrent topics in Charles Bon's work include Advancements in Transdermal Drug Delivery (6 papers), Biosimilars and Bioanalytical Methods (5 papers) and Statistical Methods in Clinical Trials (5 papers). Charles Bon is often cited by papers focused on Advancements in Transdermal Drug Delivery (6 papers), Biosimilars and Bioanalytical Methods (5 papers) and Statistical Methods in Clinical Trials (5 papers). Charles Bon collaborates with scholars based in United States, Canada and South Africa. Charles Bon's co-authors include Sanford Bolton, Isadore Kanfer, Roger Williams, Howard I. Maïbach, Joel Sequeira, Gordon L. Flynn, Vinod P. Shah, Lawrence J. Lesko, Thomas Franz and Stanley A. Kaplan and has published in prestigious journals such as International Journal of Pharmaceutics, Pharmaceutical Research and Journal of Oral and Maxillofacial Surgery.

In The Last Decade

Charles Bon

22 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Bon United States 10 218 118 57 53 40 24 471
Yutaka Higashi Japan 16 268 1.2× 55 0.5× 67 1.2× 151 2.8× 26 0.7× 39 620
Vikas Jhawat India 13 207 0.9× 29 0.2× 31 0.5× 133 2.5× 22 0.6× 57 503
Diane Tang‐Liu United States 15 192 0.9× 32 0.3× 87 1.5× 163 3.1× 15 0.4× 34 826
Paolo Rocco Italy 13 61 0.3× 21 0.2× 69 1.2× 46 0.9× 78 1.9× 31 395
Masahiko Ogihara Japan 16 79 0.4× 25 0.2× 44 0.8× 233 4.4× 61 1.5× 64 740
Patricia Almudéver Spain 10 68 0.3× 70 0.6× 17 0.3× 98 1.8× 41 1.0× 15 403
Xiaohui Jiang United States 12 235 1.1× 4 0.0× 24 0.4× 153 2.9× 64 1.6× 29 777
Maja Đanić Serbia 12 141 0.6× 15 0.1× 52 0.9× 223 4.2× 13 0.3× 38 596
Hussain Ali Pakistan 13 36 0.2× 10 0.1× 23 0.4× 115 2.2× 42 1.1× 35 461

Countries citing papers authored by Charles Bon

Since Specialization
Citations

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

Fields of papers citing papers by Charles Bon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Bon

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Bon. A scholar is included among the top collaborators of Charles Bon 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 Charles Bon. Charles Bon 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.
Gum, Glenwood G., Spundana Malla, Charles Bon, et al.. (2023). Topical pharmacokinetics of brinzolamide suspensions in rabbits and variability analysis for sample size and design considerations. International Journal of Pharmaceutics. 642. 123183–123183. 5 indexed citations
2.
Bon, Charles, et al.. (2022). Application of Emax model to assess the potency of topical corticosteroid products. Basic & Clinical Pharmacology & Toxicology. 131(3). 165–173. 3 indexed citations
3.
Bon, Charles, et al.. (2022). Fitting Pharmacodynamic Data to the Emax Model to Assess the Inherent Potency of Topical Corticosteroids. Molecular Pharmaceutics. 19(8). 2900–2906. 3 indexed citations
4.
Bon, Charles, et al.. (2021). A Novel Approach to Assess the Potency of Topical Corticosteroids. Pharmaceutics. 13(9). 1456–1456. 9 indexed citations
5.
Bon, Charles, et al.. (2020). Application of a dermatopharmacokinetic (DPK) method for bioequivalence assessment of topical metronidazole creams. Journal of Pharmacy & Pharmaceutical Sciences. 23. 437–450. 4 indexed citations
6.
Agadjanyan, Michael G., Karen Zagorski, Irina Petrushina, et al.. (2017). Humanized monoclonal antibody armanezumab specific to N-terminus of pathological tau: characterization and therapeutic potency. Molecular Neurodegeneration. 12(1). 33–33. 36 indexed citations
7.
VanderLugt, James T., et al.. (2017). Pharmacokinetics and Bioequivalence of Branded and Generic Formulations of Dofetilide 0.5‐mg Capsules After Single‐Dose Administration in Healthy Subjects. Clinical Pharmacology in Drug Development. 7(3). 311–318. 1 indexed citations
8.
Bon, Charles, et al.. (2016). The use of an imagery mnemonic to teach the Krebs cycle. Biochemistry and Molecular Biology Education. 44(3). 224–229. 3 indexed citations
9.
Pickar, James H., et al.. (2015). Pharmacokinetics of the first combination 17β-estradiol/progesterone capsule in clinical development for menopausal hormone therapy. Menopause The Journal of The North American Menopause Society. 22(12). 1308–1316. 19 indexed citations
10.
Skinner, M., et al.. (2011). Bioequivalence of Topical Clotrimazole Formulations: An Improved Tape Stripping Method. Journal of Pharmacy & Pharmaceutical Sciences. 14(3). 347–347. 25 indexed citations
11.
Kowalski, Mark, et al.. (2010). A Pharmacokinetic Analysis of Diclofenac Potassium Soft-Gelatin Capsule in Patients After Bunionectomy. American Journal of Therapeutics. 17(5). 460–468. 7 indexed citations
12.
Bolton, Sanford & Charles Bon. (2009). Pharmaceutical Statistics. 51 indexed citations
13.
Bolton, Sanford & Charles Bon. (2008). Statistical Considerations: Alternate Designs and Approaches for Bioequivalence Assessments. Clinical Research and Regulatory Affairs. 25(2). 119–137. 1 indexed citations
14.
Zuniga, John R., Ceib Phillips, Daniel A. Shugars, et al.. (2004). Analgesic safety and efficacy of diclofenac sodium softgels on postoperative third molar extraction pain. Journal of Oral and Maxillofacial Surgery. 62(7). 806–815. 40 indexed citations
15.
Bolton, Sanford & Charles Bon. (2003). Optimization Techniques and Screening Designs. 441–468. 2 indexed citations
16.
Bolton, Sanford & Charles Bon. (2003). Pharmaceutical Statistics. 73 indexed citations
17.
Bolton, Sanford & Charles Bon. (2003). Pharmaceutical Statistics: Practical and Clinical Applications, Revised and Expanded. 5 indexed citations
18.
Shah, Vinod P., Gordon L. Flynn, Avraham Yacobi, et al.. (1998). Bioequivalence of Topical Dermatological Dosage Forms-Methods of Evaluation of Bioequivalence. Pharmaceutical Research. 15(2). 167–171. 123 indexed citations
19.
Shah, Vinod P., Gordon L. Flynn, Avraham Yacobi, et al.. (1998). Bioequivalence of Topical Dermatological Dosage Forms – Methods of Evaluation of Bioequivalence. Skin Pharmacology and Physiology. 11(2). 117–124. 31 indexed citations
20.
Rosenbaum, Sara, C. T. Rhodes, & Charles Bon. (1990). Area Under the Cureve Estimation in Bioequivalence Studies. Drug Development and Industrial Pharmacy. 16(1). 157–163. 6 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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