Tonika Bohnert

1.0k total citations
9 papers, 558 citations indexed

About

Tonika Bohnert is a scholar working on Oncology, Pharmacology and Immunology. According to data from OpenAlex, Tonika Bohnert has authored 9 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Oncology, 3 papers in Pharmacology and 3 papers in Immunology. Recurrent topics in Tonika Bohnert's work include Pharmacogenetics and Drug Metabolism (3 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Tonika Bohnert is often cited by papers focused on Pharmacogenetics and Drug Metabolism (3 papers), Analytical Chemistry and Chromatography (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). Tonika Bohnert collaborates with scholars based in United States and Taiwan. Tonika Bohnert's co-authors include Liang‐Shang Gan, Abdul Naveed Shaik, Lawrence L. Gan, David A. Williams, Barbara W. LeDuc, R. Blake Pepinsky, Ellen Rohde, Eric T. Whalley, Russell C. Petter and Joy Wang and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmaceutical Sciences and Drug Discovery Today.

In The Last Decade

Tonika Bohnert

9 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tonika Bohnert United States 9 228 138 94 77 62 9 558
J. Prous Spain 12 246 1.1× 93 0.7× 61 0.6× 71 0.9× 44 0.7× 27 665
William Neway United States 11 264 1.2× 203 1.5× 69 0.7× 25 0.3× 52 0.8× 14 557
Raquel F. Reinoso Spain 11 172 0.8× 98 0.7× 108 1.1× 37 0.5× 12 0.2× 27 540
Hanan S. Anbar Egypt 16 272 1.2× 105 0.8× 224 2.4× 49 0.6× 69 1.1× 45 605
Huanqiu Li China 17 391 1.7× 77 0.6× 116 1.2× 33 0.4× 74 1.2× 40 690
Joanne Brodfuehrer United States 14 347 1.5× 370 2.7× 109 1.2× 109 1.4× 46 0.7× 36 934
Lulu Yang China 14 265 1.2× 120 0.9× 31 0.3× 52 0.7× 52 0.8× 34 628
Joanna J. Zheng United States 12 163 0.7× 54 0.4× 59 0.6× 25 0.3× 37 0.6× 16 368

Countries citing papers authored by Tonika Bohnert

Since Specialization
Citations

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

Fields of papers citing papers by Tonika Bohnert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tonika Bohnert

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

All Works

9 of 9 papers shown
1.
Weinreb, Paul H., R. Blake Pepinsky, Danielle Graham, et al.. (2018). Monoclonal antibody exposure in rat and cynomolgus monkey cerebrospinal fluid following systemic administration. Fluids and Barriers of the CNS. 15(1). 10–10. 50 indexed citations
2.
Wong, Harvey, Tonika Bohnert, Christopher R. Gibson, et al.. (2017). Translational pharmacokinetic-pharmacodynamic analysis in the pharmaceutical industry: an IQ Consortium PK-PD Discussion Group perspective. Drug Discovery Today. 22(10). 1447–1459. 22 indexed citations
3.
Shaik, Abdul Naveed, Tonika Bohnert, David A. Williams, Lawrence L. Gan, & Barbara W. LeDuc. (2016). Mechanism of Drug-Drug Interactions Between Warfarin and Statins. Journal of Pharmaceutical Sciences. 105(6). 1976–1986. 34 indexed citations
4.
Binnerts, Minke E., Kevin L. Otipoby, Brian T. Hopkins, et al.. (2015). Abstract C186: SNS-062 is a potent noncovalent BTK inhibitor with comparable activity against wild type BTK and BTK with an acquired resistance mutation. Molecular Cancer Therapeutics. 14(12_Supplement_2). C186–C186. 22 indexed citations
5.
Shaik, Abdul Naveed, et al.. (2015). Comparison of enzyme kinetics of warfarin analyzed by LC–MS/MS QTrap and differential mobility spectrometry. Journal of Chromatography B. 1008. 164–173. 28 indexed citations
6.
Banerjee, Daliya, Tonika Bohnert, Jianhua Chao, et al.. (2015). Discovery of novel pyrazole-containing benzamides as potent RORγ inverse agonists. Bioorganic & Medicinal Chemistry Letters. 25(15). 2985–2990. 27 indexed citations
7.
Chao, Jianhua, Istvan Enyedy, D.J. Marcotte, et al.. (2015). Discovery of biaryl carboxylamides as potent RORγ inverse agonists. Bioorganic & Medicinal Chemistry Letters. 25(15). 2991–2997. 27 indexed citations
8.
Bohnert, Tonika & Liang‐Shang Gan. (2013). Plasma protein binding: From discovery to development. Journal of Pharmaceutical Sciences. 102(9). 2953–2994. 294 indexed citations
9.
Peng, Hairuo, G. Kumaravel, Gang Yao, et al.. (2004). Novel Bicyclic Piperazine Derivatives of Triazolotriazine and Triazolopyrimidines as Highly Potent and Selective Adenosine A2AReceptor Antagonists. Journal of Medicinal Chemistry. 47(25). 6218–6229. 54 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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