James T. Wasicak
- Molecular Biology top 10%
- Organic Chemistry top 5%
- Pharmacology top 5%
- Cellular and Molecular Neuroscience
- Physiology
- Co-authors
- Mark W. HolladayStephen P. ArnerićDavid S. GarveyDiana L. Donnelly‐RobertsNan‐Horng LinMichael WilliamsJames P. SullivanJohn Y. L. Chung
- Topics
- Cholinesterase and Neurodegenerative Diseases (10 papers)Nicotinic Acetylcholine Receptors Study (10 papers)Chemical synthesis and alkaloids (6 papers)
- Journals
- Journal of Medicinal ChemistryJournal of Pharmacology and Experimental TherapeuticsThe Journal of Organic Chemistry
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
James T. Wasicak
20 papers receiving 899 citations
Peers
Comparison fields: 5 of 64
- Molecular Biology 754
- Organic Chemistry 401
- Pharmacology 251
- Cellular and Molecular Neuroscience 110
- Physiology 83
Countries citing papers authored by James T. Wasicak
This map shows the geographic impact of James T. Wasicak'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 James T. Wasicak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James T. Wasicak more than expected).
Fields of papers citing papers by James T. Wasicak
This network shows the impact of papers produced by James T. Wasicak. 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 James T. Wasicak. The network helps show where James T. Wasicak may publish in the future.
Co-authorship network of co-authors of James T. Wasicak
This figure shows the co-authorship network connecting the top 25 collaborators of James T. Wasicak. A scholar is included among the top collaborators of James T. Wasicak based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James T. Wasicak. James T. Wasicak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 29 | |
| 2 | 12 | |
| 3 | 17 | |
| 4 | 61 | |
| 5 | 79 | |
| 6 | 17 | |
| 7 | 111 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 121 | |
| 11 | 8 | |
| 12 | 199 | |
| 13 | 28 | |
| 14 | 51 | |
| 15 | 73 | |
| 16 | 8 | |
| 17 | 12 | |
| 18 | 11 | |
| 19 | 67 | |
| 20 | 18 |
About James T. Wasicak
James T. Wasicak is a scholar working on Pharmacology, Organic Chemistry and Molecular Biology, having authored 20 papers that have together received 937 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (10 papers), Nicotinic Acetylcholine Receptors Study (10 papers) and Chemical synthesis and alkaloids (6 papers). The work is most often cited by research in Pharmacology (251 citations), Organic Chemistry (401 citations) and Molecular Biology (754 citations). James T. Wasicak has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mark W. Holladay, Stephen P. Arnerić, David S. Garvey, Diana L. Donnelly‐Roberts, Nan‐Horng Lin, Michael Williams, James P. Sullivan, John Y. L. Chung, Jeffrey E. Campbell and David J. Anderson. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics 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.