Marc B. Skaddan
- Pharmaceutical Science top 1%
- Fluorine in Organic Chemistry 3
- Chemical Reactions and Isotopes 3
- Inorganic Chemistry top 5%
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- Radiopharmaceutical Chemistry and Applications 5
- Organic Chemistry top 10%
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- Receptor Mechanisms and Signaling 5
- Chemical Synthesis and Analysis 3
- Phosphodiesterase function and regulation 3
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- Neuroscience and Neuropharmacology Research 3
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- Computational Drug Discovery Methods 3
- Co-authors
- Robert G. BergmanCathleen M. YungJohn A. KatzenellenbogenF. WüstMichael R. KilbournH. SpiesKenneth ZasadnyScott E. Snyder
- Journals
- Nuclear Medicine and Biology (3 papers)Journal of Cerebral Blood Flow & Metabolism (2 papers)Molecular Imaging and Biology (2 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Marc B. Skaddan
23 papers receiving 805 citations
Peers
Comparison fields: 5 of 76
- Pharmaceutical Science 248
- Inorganic Chemistry 211
- Radiology, Nuclear Medicine and Imaging 198
- Organic Chemistry 218
- Pharmacology 87
Countries citing papers authored by Marc B. Skaddan
This map shows the geographic impact of Marc B. Skaddan'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 Marc B. Skaddan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc B. Skaddan more than expected).
Fields of papers citing papers by Marc B. Skaddan
This network shows the impact of papers produced by Marc B. Skaddan. 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 Marc B. Skaddan. The network helps show where Marc B. Skaddan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc B. Skaddan, 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 | 2022 | 3 | |
| 2 | 2020 | 11 | |
| 3 | 2020 | 32 | |
| 4 | 2019 | 37 | |
| 5 | 2016 | 11 | |
| 6 | 2013 | 142 | |
| 7 | 2012 | 25 | |
| 8 | 2011 | 1 | |
| 9 | 2010 | 45 | |
| 10 | 2010 | 5 | |
| 11 | 2006 | 18 | |
| 12 | 2004 | 131 | |
| 13 | 2003 | 97 | |
| 14 | 2002 | 11 | |
| 15 | 2001 | 10 | |
| 16 | 2001 | 36 | |
| 17 | 2001 | 5 | |
| 18 | 2000 | 51 | |
| 19 | 1999 | 27 | |
| 20 | 1998 | 25 |
About Marc B. Skaddan
Marc B. Skaddan is a scholar working on Pharmaceutical Science, Toxicology and Pharmacology, having authored 23 papers that have together received 816 indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (5 papers), Receptor Mechanisms and Signaling (5 papers), Chemical Synthesis and Analysis (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Computational Drug Discovery Methods (3 papers), Fluorine in Organic Chemistry (3 papers), Chemical Reactions and Isotopes (3 papers) and Phosphodiesterase function and regulation (3 papers). The work is most often cited by research in Pharmaceutical Science (248 citations), Inorganic Chemistry (211 citations) and Radiology, Nuclear Medicine and Imaging (198 citations). Marc B. Skaddan has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Robert G. Bergman, Cathleen M. Yung, John A. Katzenellenbogen, F. Wüst, Michael R. Kilbourn, H. Spies, Kenneth Zasadny, Scott E. Snyder, Laigao Chen and Lei Zhang. Their work appears in journals such as Nuclear Medicine and Biology, Journal of Cerebral Blood Flow & Metabolism, Molecular Imaging and Biology, Journal of Medicinal Chemistry and Alzheimer s & Dementia.
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.