Mia Parsonnet
Impact in
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- Antibiotic Use and Resistance
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotics Pharmacokinetics and Efficacy 3
- Inflammatory mediators and NSAID effects 1
- Drug-Induced Adverse Reactions 1
- Pharmacology and Obesity Treatment 1
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- Analytical Methods in Pharmaceuticals 4
- Co-authors
- Indravadan H. Patel (3 shared papers)S. A. Kaplan (1 shared paper)Marvin A. Brooks (1 shared paper)Martin R. Hackman (1 shared paper)William Garland (2 shared papers)Robert E. Weinfeld (2 shared papers)Bo H. Min (1 shared paper)Wayne A. Colburn (1 shared paper)
- Journals
- Antimicrobial Agents and Chemotherapy (2 papers)European Journal of Clinical Pharmacology (2 papers)Clinical Pharmacology & Therapeutics (1 paper)Journal of Chromatography A (1 paper)European Journal of Endocrinology (1 paper)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Mia Parsonnet
11 papers receiving 358 citations
Peers
Comparison fields: 5 of 82
- Applied Microbiology and Biotechnology 27
- Molecular Medicine 59
- Pharmacology 188
- Spectroscopy 71
- Microbiology 24
Countries citing papers authored by Mia Parsonnet
This map shows the geographic impact of Mia Parsonnet'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 Mia Parsonnet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Parsonnet more than expected).
Fields of papers citing papers by Mia Parsonnet
This network shows the impact of papers produced by Mia Parsonnet. 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 Mia Parsonnet. The network helps show where Mia Parsonnet may publish in the future.
Co-authors
The 25 scholars most cited alongside Mia Parsonnet, 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 | 1981 | 210 | |
| 2 | 1980 | 50 | |
| 3 | 1982 | 45 | |
| 4 | ヒトの血しょう中の抗分泌性トリメチルプロスタグランジンE 2 類似体の毛管カラムガスクロマトグラフィー-負化学イオン化質量分析法の結合による定量 | 1980 | 43 |
| 5 | 1984 | 36 | |
| 6 | 1986 | 7 | |
| 7 | 1977 | 7 | |
| 8 | 1988 | 6 | |
| 9 | 1954 | 5 | |
| 10 | 1978 | 2 | |
| 11 | 1984 | 1 |
About Mia Parsonnet
Mia Parsonnet is a scholar working on Pharmacology, Analytical Chemistry, Emergency Medicine, Surgery and Small Animals, having authored 11 papers that have together received 412 indexed citations. Recurring topics across this work include Analytical Methods in Pharmaceuticals (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Inflammatory mediators and NSAID effects (1 paper), Drug-Induced Adverse Reactions (1 paper), Cardiac pacing and defibrillation studies (1 paper), Cancer Treatment and Pharmacology (1 paper), Pharmacology and Obesity Treatment (1 paper) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (27 citations), Molecular Medicine (59 citations), Pharmacology (188 citations), Spectroscopy (71 citations) and Microbiology (24 citations). Mia Parsonnet has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Indravadan H. Patel, S. A. Kaplan, Marvin A. Brooks, Martin R. Hackman, William Garland, Robert E. Weinfeld, Bo H. Min, Wayne A. Colburn, Richard L. Young and Joseph Massarella. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, European Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Chromatography A and European Journal of Endocrinology.
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.