Michael DiCuccio
Impact in
- Endocrinology top 0.5%
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
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- RNA and protein synthesis mechanisms 10
- Genomics and Phylogenetic Studies 9
- Molecular Biology Techniques and Applications 2
- Identification and Quantification in Food 2
- Machine Learning in Bioinformatics 2
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- SARS-CoV-2 and COVID-19 Research 2
- COVID-19 Clinical Research Studies 2
- Co-authors
- Azat Badretdin (3 shared papers)Kim D. Pruitt (3 shared papers)Tatiana Tatusova (2 shared papers)James Ostell (2 shared papers)Vyacheslav Chetvernin (1 shared paper)Alexandre Lomsadze (1 shared paper)Mark Borodovsky (1 shared paper)Leonid Zaslavsky (1 shared paper)
- Journals
- Nucleic Acids Research (3 papers)INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (2 papers)Journal of Computer Assisted Tomography (1 paper)Scientific Reports (1 paper)Virology Journal (1 paper)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Michael DiCuccio
21 papers receiving 5.9k citations
Michael DiCuccio's Hit Papers
Peers
Comparison fields: 5 of 145
- Endocrinology 605
- Molecular Medicine 484
- Microbiology 64
- Ecology 1.8k
- Biotechnology 504
Countries citing papers authored by Michael DiCuccio
This map shows the geographic impact of Michael DiCuccio'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 Michael DiCuccio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael DiCuccio more than expected).
Fields of papers citing papers by Michael DiCuccio
This network shows the impact of papers produced by Michael DiCuccio. 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 Michael DiCuccio. The network helps show where Michael DiCuccio may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael DiCuccio, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | NCBI prokaryotic genome annotation pipeline Hit paper breakdown → | 2016 | 4812 |
| 2 | 2018 | 322 | |
| 3 | 2015 | 251 | |
| 4 | Eukaryotic Genome Annotation Pipeline | 2013 | 192 |
| 5 | 2020 | 58 | |
| 6 | 2018 | 57 | |
| 7 | 2023 | 47 | |
| 8 | 2001 | 44 | |
| 9 | 2020 | 40 | |
| 10 | 2016 | 38 | |
| 11 | 2004 | 24 | |
| 12 | 1996 | 22 | |
| 13 | 2017 | 20 | |
| 14 | 2008 | 18 | |
| 15 | 2023 | 16 | |
| 16 | 2021 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2023 | 8 | |
| 19 | 2021 | 6 | |
| 20 | 2024 | 1 |
About Michael DiCuccio
Michael DiCuccio is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Surgery and Hematology, having authored 22 papers that have together received 6.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Genomics and Phylogenetic Studies (9 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Molecular Biology Techniques and Applications (2 papers), Identification and Quantification in Food (2 papers), Machine Learning in Bioinformatics (2 papers), COVID-19 Clinical Research Studies (2 papers) and Blood Coagulation and Thrombosis Mechanisms (2 papers). The work is most often cited by research in Endocrinology (605 citations), Molecular Medicine (484 citations), Microbiology (64 citations), Ecology (1.8k citations) and Biotechnology (504 citations). Michael DiCuccio has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include Azat Badretdin, Kim D. Pruitt, Tatiana Tatusova, James Ostell, Vyacheslav Chetvernin, Alexandre Lomsadze, Mark Borodovsky, Leonid Zaslavsky, Eric P. Nawrocki and Françoise Thibaud‐Nissen. Their work appears in journals such as Nucleic Acids Research, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Journal of Computer Assisted Tomography, Scientific Reports and Virology Journal.
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.