Samuel J. Bonacorsi
- Internal Medicine top 1%
- Pharmaceutical Science top 2%
- Chemical Reactions and Isotopes 6
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism 10
- Organic Chemistry top 5%
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- Radiopharmaceutical Chemistry and Applications 8
- Medical Imaging Techniques and Applications 7
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- Peptidase Inhibition and Analysis 8
- Cancer Immunotherapy and Biomarkers 8
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- HIV/AIDS drug development and treatment 5
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- Lung Cancer Treatments and Mutations 5
- Co-authors
- W. Griffith HumphreysDonglu ZhangHaiying ZhangNirmala RaghavanShiang-Yuan ChenPancras C. WongDonald PintoKan He
- Journals
- Journal of the American Chemical Society (5 papers)Journal of Clinical Oncology (2 papers)The Journal of Organic Chemistry (3 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Samuel J. Bonacorsi
69 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Internal Medicine 313
- Pharmaceutical Science 181
- Pharmacology 165
- Cardiology and Cardiovascular Medicine 428
- Organic Chemistry 487
Countries citing papers authored by Samuel J. Bonacorsi
This map shows the geographic impact of Samuel J. Bonacorsi'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 Samuel J. Bonacorsi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel J. Bonacorsi more than expected).
Fields of papers citing papers by Samuel J. Bonacorsi
This network shows the impact of papers produced by Samuel J. Bonacorsi. 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 Samuel J. Bonacorsi. The network helps show where Samuel J. Bonacorsi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Samuel J. Bonacorsi, 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 | 2023 | 3 | |
| 2 | 2023 | 13 | |
| 3 | 2021 | 14 | |
| 4 | 2021 | 27 | |
| 5 | 2020 | 22 | |
| 6 | 2017 | 76 | |
| 7 | 2017 | 13 | |
| 8 | 2016 | 17 | |
| 9 | 2014 | 7 | |
| 10 | 2012 | 5 | |
| 11 | 2012 | 41 | |
| 12 | 2012 | 1 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 8 | |
| 15 | Apixaban Metabolism and Pharmacokinetics after Oral Administration to Humansbreakdown → | 2008 | 490 |
| 16 | 2008 | 158 | |
| 17 | 2007 | 46 | |
| 18 | 2006 | 6 | |
| 19 | 2006 | 21 | |
| 20 | 2003 | 13 |
About Samuel J. Bonacorsi
Samuel J. Bonacorsi is a scholar working on Pharmaceutical Science, Pharmacology and Oncology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (10 papers), Radiopharmaceutical Chemistry and Applications (8 papers), Peptidase Inhibition and Analysis (8 papers), Cancer Immunotherapy and Biomarkers (8 papers), Medical Imaging Techniques and Applications (7 papers), Chemical Reactions and Isotopes (6 papers), HIV/AIDS drug development and treatment (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Internal Medicine (313 citations), Pharmaceutical Science (181 citations) and Pharmacology (165 citations). Samuel J. Bonacorsi has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include W. Griffith Humphreys, Donglu Zhang, Haiying Zhang, Nirmala Raghavan, Shiang-Yuan Chen, Pancras C. Wong, Donald Pinto, Kan He, Charles Frost and Zhigang Yu. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Oncology and The Journal of Organic 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.