Michael DiCuccio

25.0k total citations · 1 hit paper
22 papers, 5.8k citations indexed

About

Michael DiCuccio is a scholar working on Molecular Biology, Ecology and Infectious Diseases. According to data from OpenAlex, Michael DiCuccio has authored 22 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Ecology and 3 papers in Infectious Diseases. Recurrent topics in Michael DiCuccio's work include Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (3 papers). Michael DiCuccio is often cited by papers focused on Genomics and Phylogenetic Studies (11 papers), RNA and protein synthesis mechanisms (10 papers) and Bacteriophages and microbial interactions (3 papers). Michael DiCuccio collaborates with scholars based in United States, Israel and Australia. Michael DiCuccio's co-authors include Azat Badretdin, Kim D. Pruitt, Tatiana Tatusova, James Ostell, Vyacheslav Chetvernin, Leonid Zaslavsky, Eric P. Nawrocki, Alexandre Lomsadze, Mark Borodovsky and Françoise Thibaud‐Nissen and has published in prestigious journals such as Nucleic Acids Research, Nature Biotechnology and Scientific Reports.

In The Last Decade

Michael DiCuccio

21 papers receiving 5.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

NCBI prokaryotic genome annotation pipeline

2016 4.6k citations Tatiana Tatusova, Michael DiCuccio et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Michael DiCuccio United States	15	3.6k	1.8k	1.2k	761	629	22	5.8k
Azat Badretdin United States	5	3.4k 0.9×	1.8k 1.0×	1.1k 0.9×	780 1.0×	633 1.0×	5	5.2k
Vyacheslav Chetvernin United States	5	3.0k 0.8×	1.7k 0.9×	1.1k 0.9×	675 0.9×	592 0.9×	6	4.8k
Veronika Vonstein United States	16	4.2k 1.2×	2.4k 1.3×	1.1k 1.0×	811 1.1×	761 1.2×	22	6.7k
Heiko Liesegang Germany	39	4.4k 1.2×	1.7k 0.9×	1.4k 1.3×	646 0.8×	689 1.1×	77	8.0k
Bruce Parrello United States	7	3.5k 1.0×	2.2k 1.2×	1.0k 0.9×	729 1.0×	716 1.1×	14	5.8k
Alice R. Wattam United States	20	3.9k 1.1×	2.4k 1.3×	1.1k 0.9×	890 1.2×	885 1.4×	45	6.8k
Paul Stothard Canada	45	4.9k 1.3×	2.2k 1.2×	1.7k 1.4×	762 1.0×	677 1.1×	178	10.2k
Gordon D. Pusch United States	17	5.0k 1.4×	2.8k 1.5×	1.3k 1.1×	841 1.1×	814 1.3×	22	7.7k
Ana Marcu Germany	16	2.7k 0.8×	1.3k 0.7×	788 0.7×	686 0.9×	574 0.9×	24	5.1k
Karin Lagesen Norway	16	4.0k 1.1×	2.0k 1.1×	1.2k 1.0×	649 0.9×	455 0.7×	37	6.0k

Countries citing papers authored by Michael DiCuccio

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Michael DiCuccio

This figure shows the co-authorship network connecting the top 25 collaborators of Michael DiCuccio. A scholar is included among the top collaborators of Michael DiCuccio 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 Michael DiCuccio. Michael DiCuccio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Smith, Sean, Brian Lin, Luis V. Santana‐Quintero, et al.. (2025). Uncovering codon usage patterns during murine embryogenesis and tissue-specific developmental diseases. Frontiers in Genetics. 16. 1554773–1554773.

Smith, Sean, Douglas Meyer, Luis V. Santana‐Quintero, et al.. (2024). Mouse embryo CoCoPUTs: novel murine transcriptomic-weighted usage website featuring multiple strains, tissues, and stages. BMC Bioinformatics. 25(1). 294–294. 1 indexed citations

Haft, Daniel H., Azat Badretdin, George Coulouris, et al.. (2023). RefSeq and the prokaryotic genome annotation pipeline in the age of metagenomes. Nucleic Acids Research. 52(D1). D762–D769. 38 indexed citations

Meyer, Douglas, Upendra Katneni, Haim Bar, et al.. (2023). Analysis of 3.5 million SARS-CoV-2 sequences reveals unique mutational trends with consistent nucleotide and codon frequencies. Virology Journal. 20(1). 31–31. 13 indexed citations

Kannan, Sivakumar, Shobha Sharma, Stacy Ciufo, et al.. (2023). Collection and curation of prokaryotic genome assemblies from type strains at NCBI. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 73(1). 7 indexed citations

Holcomb, David D., Aikaterini Alexaki, Ryan Hunt, et al.. (2021). Gene variants of coagulation related proteins that interact with SARS-CoV-2. PLoS Computational Biology. 17(3). e1008805–e1008805. 15 indexed citations

Holcomb, David D., Jacob Kames, Anton A. Komar, et al.. (2021). In Silico Evaluation of Cyclophilin Inhibitors as Potential Treatment for SARS-CoV-2. Open Forum Infectious Diseases. 8(6). 6 indexed citations

Meyer, Douglas, Jacob Kames, Haim Bar, et al.. (2021). Distinct signatures of codon and codon pair usage in 32 primary tumor types in the novel database CancerCoCoPUTs for cancer-specific codon usage. Genome Medicine. 13(1). 122–122. 12 indexed citations

Kames, Jacob, David D. Holcomb, Michael DiCuccio, et al.. (2020). Sequence analysis of SARS-CoV-2 genome reveals features important for vaccine design. Scientific Reports. 10(1). 15643–15643. 40 indexed citations

10.

Katneni, Upendra, Aikaterini Alexaki, Ryan Hunt, et al.. (2020). Coagulopathy and Thrombosis as a Result of Severe COVID-19 Infection: A Microvascular Focus. Thrombosis and Haemostasis. 120(12). 1668–1679. 57 indexed citations

11.

Jaffe, Adam B., Uwe Dulleck, Aaron C. Ballagh, et al.. (2018). Mapping the global influence of published research on industry and innovation. Nature Biotechnology. 36(1). 31–39. 55 indexed citations

12.

Ciufo, Stacy, Sivakumar Kannan, Shobha Sharma, et al.. (2018). Using average nucleotide identity to improve taxonomic assignments in prokaryotic genomes at the NCBI. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 68(7). 2386–2392. 308 indexed citations

13.

Woo, Emily Jane & Michael DiCuccio. (2017). Clinically significant pedicle screw malposition is an underestimated cause of radiculopathy. The Spine Journal. 18(7). 1166–1171. 19 indexed citations

14.

Tatusova, Tatiana, Michael DiCuccio, Azat Badretdin, et al.. (2016). NCBI prokaryotic genome annotation pipeline. Nucleic Acids Research. 44(14). 6614–6624. 4619 indexed citations breakdown →

15.

Thibaud‐Nissen, Françoise, Michael DiCuccio, Wratko Hlavina, et al.. (2016). P8008 The NCBI Eukaryotic Genome Annotation Pipeline. Journal of Animal Science. 94(suppl_4). 184–184. 34 indexed citations

16.

Kitts, Paul, Deanna M. Church, Françoise Thibaud‐Nissen, et al.. (2015). Assembly: a resource for assembled genomes at NCBI. Nucleic Acids Research. 44(D1). D73–D80. 240 indexed citations

17.

Thibaud‐Nissen, Françoise, Alexander Souvorov, Terence D. Murphy, Michael DiCuccio, & Paul Kitts. (2013). Eukaryotic Genome Annotation Pipeline. 192 indexed citations

18.

Salzberg, Steven L., Deanna M. Church, Michael DiCuccio, Y Eugene, & James Ostell. (2004). The Genome Assembly Archive: A New Public Resource. PLoS Biology. 2(9). e285–e285. 24 indexed citations

19.

Weishaupt, Dominik, et al.. (2001). Relationships of Cervical, Thoracic, and Lumbar Bone Mineral Density by Quantitative CT. Journal of Computer Assisted Tomography. 25(1). 146–150. 44 indexed citations

20.

Cooper, Scott, et al.. (1996). Vascular Localization of the Heparin-binding Serpins Antithrombin, Heparin Cofactor II, and Protein C Inhibitor. Clinical and Applied Thrombosis/Hemostasis. 2(3). 185–191. 22 indexed citations

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.

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