Anthony J. Macula
Impact in
- Infectious Diseases top 10%
- SARS-CoV-2 detection and testing
Papers in
-
- Advanced biosensing and bioanalysis techniques 18
- DNA and Biological Computing 8
- DNA and Nucleic Acid Chemistry 5
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- SARS-CoV-2 detection and testing 10
- Co-authors
- A.G. D'yachkov (7 shared papers)Sergey Yekhanin (1 shared paper)David C. Torney (4 shared papers)Paul S. White (1 shared paper)Péter L. Erdős (1 shared paper)Chang‐Shung Tung (1 shared paper)Wendy Pogozelski (4 shared papers)Richard N. Ball (1 shared paper)
- Journals
- Journal of Computational Biology (4 papers)Journal of Combinatorial Optimization (3 papers)Discrete Applied Mathematics (3 papers)Discrete Mathematics (3 papers)Journal of Statistical Planning and Inference (3 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Anthony J. Macula
31 papers receiving 440 citations
Peers
Comparison fields: 5 of 55
- Infectious Diseases 150
- Discrete Mathematics and Combinatorics 28
- Artificial Intelligence 167
- Molecular Biology 264
- Computer Networks and Communications 83
Countries citing papers authored by Anthony J. Macula
This map shows the geographic impact of Anthony J. Macula'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. Macula 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. Macula more than expected).
Fields of papers citing papers by Anthony J. Macula
This network shows the impact of papers produced by Anthony J. Macula. 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. Macula. The network helps show where Anthony J. Macula may publish in the future.
Co-authors
The 21 scholars most cited alongside Anthony J. Macula, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 94 | |
| 2 | 1997 | 56 | |
| 3 | 1999 | 38 | |
| 4 | 2000 | 32 | |
| 5 | 1998 | 31 | |
| 6 | 2003 | 30 | |
| 7 | 2004 | 27 | |
| 8 | 2003 | 23 | |
| 9 | 2007 | 20 | |
| 10 | 2005 | 15 | |
| 11 | 2007 | 14 | |
| 12 | 1998 | 9 | |
| 13 | 1990 | 8 | |
| 14 | 1995 | 8 | |
| 15 | 1995 | 6 | |
| 16 | 1994 | 6 | |
| 17 | 2006 | 5 | |
| 18 | 2007 | 4 | |
| 19 | 2001 | 4 | |
| 20 | 1997 | 4 |
About Anthony J. Macula
Anthony J. Macula is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 35 papers that have together received 454 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (18 papers), SARS-CoV-2 detection and testing (10 papers), DNA and Biological Computing (8 papers), Biosensors and Analytical Detection (7 papers), DNA and Nucleic Acid Chemistry (5 papers), Bacteriophages and microbial interactions (4 papers), Rings, Modules, and Algebras (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Infectious Diseases (150 citations), Discrete Mathematics and Combinatorics (28 citations), Artificial Intelligence (167 citations), Molecular Biology (264 citations) and Computer Networks and Communications (83 citations). Anthony J. Macula has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include A.G. D'yachkov, Sergey Yekhanin, David C. Torney, Paul S. White, Péter L. Erdős, Chang‐Shung Tung, Wendy Pogozelski, Richard N. Ball, Anthony W. Hager and Alexander Schliep. Their work appears in journals such as Journal of Computational Biology, Journal of Combinatorial Optimization, Discrete Applied Mathematics, Discrete Mathematics and Journal of Statistical Planning and Inference.
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.