Anthony J. Makusky
- Molecular Biology top 10%
- Spectroscopy top 2%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology
- Cancer Research
- Co-authors
- Christine L. GatlinSandra SteinerRembert PieperSanford P. MarkeyN. Leigh AndersonJeff X. ZhouRicardo Esquer‐BlascoDouglas J. Slotta
- Topics
- Advanced Proteomics Techniques and Applications (4 papers)Metabolomics and Mass Spectrometry Studies (3 papers)Neuroscience and Neuropharmacology Research (2 papers)
- Journals
- Proceedings of the National Academy of SciencesFEBS LettersJournal of Pharmacology and Experimental Therapeutics
- Partner nations
- United StatesSpain
In The Last Decade
Anthony J. Makusky
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 812
- Spectroscopy 501
- Cellular and Molecular Neuroscience 163
- Cell Biology 102
- Cancer Research 88
Countries citing papers authored by Anthony J. Makusky
This map shows the geographic impact of Anthony J. Makusky'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 Anthony J. Makusky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony J. Makusky more than expected).
Fields of papers citing papers by Anthony J. Makusky
This network shows the impact of papers produced by Anthony J. Makusky. 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 Anthony J. Makusky. The network helps show where Anthony J. Makusky may publish in the future.
Co-authorship network of co-authors of Anthony J. Makusky
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony J. Makusky. A scholar is included among the top collaborators of Anthony J. Makusky 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 Anthony J. Makusky. Anthony J. Makusky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 27 | |
| 3 | 24 | |
| 4 | 18 | |
| 5 | 124 | |
| 6 | P18-T MassSieve: A New Tool for Mass Spectrometry–Based Proteomics | 2 |
| 7 | 138 | |
| 8 | 40 | |
| 9 | 6 | |
| 10 | 44 | |
| 11 | 289 | |
| 12 | 418 | |
| 13 | 35 | |
| 14 | 56 |
About Anthony J. Makusky
Anthony J. Makusky is a scholar working on Spectroscopy, Pharmacology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Spectroscopy (501 citations), Molecular Biology (812 citations) and Cellular and Molecular Neuroscience (163 citations). Anthony J. Makusky has collaborated with scholars based in United States and Spain. Frequent co-authors include Christine L. Gatlin, Sandra Steiner, Rembert Pieper, Sanford P. Markey, N. Leigh Anderson, Jeff X. Zhou, Ricardo Esquer‐Blasco, Douglas J. Slotta, Norman G. Anderson and Prashanth P. Parmar. Their work appears in journals such as Proceedings of the National Academy of Sciences, FEBS Letters and Journal of Pharmacology and Experimental Therapeutics.
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.