Mark Niosi
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Physiology top 5%
- Pain Mechanisms and Treatments
- Adenosine and Purinergic Signaling
Papers in
- Pharmacology 10
- Pharmacogenetics and Drug Metabolism 10
- Oncology 10
- Drug Transport and Resistance Mechanisms 10
- Co-authors
- Jian Lin (8 shared papers)Li Di (7 shared papers)Keith A. Riccardi (6 shared papers)Cheng Chang (1 shared paper)Phillip D. Yates (1 shared paper)Manthena V. S. Varma (3 shared papers)Theunis C. Goosen (5 shared papers)Rachel E. Kosa (3 shared papers)
- Journals
- Drug Metabolism and Disposition (13 papers)Journal of Medicinal Chemistry (6 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)MedChemComm (1 paper)European Journal of Pharmacology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Mark Niosi
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Pharmacology 235
- Physiology 43
- Oncology 228
- Biochemistry 56
- Molecular Biology 489
Countries citing papers authored by Mark Niosi
This map shows the geographic impact of Mark Niosi'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 Mark Niosi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Niosi more than expected).
Fields of papers citing papers by Mark Niosi
This network shows the impact of papers produced by Mark Niosi. 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 Mark Niosi. The network helps show where Mark Niosi may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Niosi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 340 | |
| 2 | 2015 | 99 | |
| 3 | 2015 | 73 | |
| 4 | 2004 | 70 | |
| 5 | 2015 | 58 | |
| 6 | 2010 | 55 | |
| 7 | 2018 | 48 | |
| 8 | 2017 | 46 | |
| 9 | 2018 | 44 | |
| 10 | 2017 | 40 | |
| 11 | 2017 | 37 | |
| 12 | 2016 | 36 | |
| 13 | 2016 | 27 | |
| 14 | 2020 | 26 | |
| 15 | 2018 | 23 | |
| 16 | 2020 | 20 | |
| 17 | 2012 | 19 | |
| 18 | 2018 | 19 | |
| 19 | 2022 | 19 | |
| 20 | 2013 | 18 |
About Mark Niosi
Mark Niosi is a scholar working on Pharmacology, Oncology, Biochemistry, Molecular Biology and Organic Chemistry, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Drug Transport and Resistance Mechanisms (10 papers), Lipid metabolism and disorders (3 papers), Synthesis and biological activity (3 papers), Lipid metabolism and biosynthesis (3 papers), Protein Degradation and Inhibitors (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Pharmacology (235 citations), Physiology (43 citations), Oncology (228 citations), Biochemistry (56 citations) and Molecular Biology (489 citations). Mark Niosi has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Jian Lin, Li Di, Keith A. Riccardi, Cheng Chang, Phillip D. Yates, Manthena V. S. Varma, Theunis C. Goosen, Rachel E. Kosa, Michelle S. Pearson and Garth T. Whiteside. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, MedChemComm and European Journal of Pharmacology.
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.