Tonika Bohnert
Impact in
- Pharmacology top 10%
- Pharmacogenetics and Drug Metabolism
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
- Oncology 3
- Drug Transport and Resistance Mechanisms 2
- Cytokine Signaling Pathways and Interactions 1
-
- Pharmacogenetics and Drug Metabolism 3
- Co-authors
- Liang‐Shang Gan (2 shared papers)Barbara W. LeDuc (2 shared papers)David A. Williams (2 shared papers)Abdul Naveed Shaik (2 shared papers)Lawrence L. Gan (2 shared papers)Weiping Chen (1 shared paper)Ivan Nestorov (1 shared paper)Jason D. Fontenot (2 shared papers)
- Journals
- Journal of Pharmaceutical Sciences (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Molecular Cancer Therapeutics (1 paper)Drug Discovery Today (1 paper)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Tonika Bohnert
9 papers receiving 548 citations
Peers
Comparison fields: 5 of 103
- Pharmacology 61
- Physiology 30
- Oncology 138
- Computational Theory and Mathematics 77
- Toxicology 14
Countries citing papers authored by Tonika Bohnert
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
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-authors
The 25 scholars most cited alongside Tonika Bohnert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 294 | |
| 2 | 2004 | 54 | |
| 3 | 2018 | 50 | |
| 4 | 2016 | 34 | |
| 5 | 2015 | 28 | |
| 6 | 2015 | 27 | |
| 7 | 2015 | 27 | |
| 8 | 2015 | 22 | |
| 9 | 2017 | 22 |
About Tonika Bohnert
Tonika Bohnert is a scholar working on Oncology, Pharmacology, Immunology, Spectroscopy and Organic Chemistry, having authored 9 papers that have together received 558 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (3 papers), Analytical Chemistry and Chromatography (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), IL-33, ST2, and ILC Pathways (1 paper), Barrier Structure and Function Studies (1 paper) and Synthesis and Biological Evaluation (1 paper). The work is most often cited by research in Pharmacology (61 citations), Physiology (30 citations), Oncology (138 citations), Computational Theory and Mathematics (77 citations) and Toxicology (14 citations). Tonika Bohnert has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Liang‐Shang Gan, Barbara W. LeDuc, David A. Williams, Abdul Naveed Shaik, Lawrence L. Gan, Weiping Chen, Ivan Nestorov, Jason D. Fontenot, Anne E. Cheung and Russell C. Petter. Their work appears in journals such as Journal of Pharmaceutical Sciences, Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Drug Discovery Today and Journal of Medicinal Chemistry.
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.