Michael Marotta
Impact in
- Virology top 5%
- HIV Research and Treatment
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
- Genetics 6
- Genomic variations and chromosomal abnormalities 5
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- DNA Repair Mechanisms 3
- Genomics and Chromatin Dynamics 3
- Co-authors
- Jan Weber (4 shared papers)Miguel E. Quiñones‐Mateu (4 shared papers)Bikram Chakraborty (4 shared papers)Héctor R. Rangel (4 shared papers)Patti Kiser (2 shared papers)Michael M. Lederman (2 shared papers)Zhimin Feng (1 shared paper)Scott F. Sieg (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Scientific Reports (1 paper)JAIDS Journal of Acquired Immune Deficiency Syndromes (1 paper)AIDS (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesSpainItaly
In The Last Decade
Michael Marotta
14 papers receiving 654 citations
Peers
Comparison fields: 5 of 65
- Virology 217
- Microbiology 243
- Immunology 162
- Infectious Diseases 136
- Emergency Medical Services 30
Countries citing papers authored by Michael Marotta
This map shows the geographic impact of Michael Marotta'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 Marotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Marotta more than expected).
Fields of papers citing papers by Michael Marotta
This network shows the impact of papers produced by Michael Marotta. 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 Marotta. The network helps show where Michael Marotta may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Marotta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 354 | |
| 2 | 2003 | 72 | |
| 3 | 2009 | 46 | |
| 4 | 2009 | 41 | |
| 5 | 2003 | 34 | |
| 6 | 2017 | 25 | |
| 7 | 2012 | 21 | |
| 8 | 2003 | 18 | |
| 9 | 2015 | 16 | |
| 10 | 2013 | 16 | |
| 11 | 2017 | 13 | |
| 12 | 2012 | 8 | |
| 13 | 2022 | 3 | |
| 14 | [Practical staining method: T-OPA triple stain]. | 1980 | 2 |
| 15 | Effect of a peptide fraction extracted from mitochondrial DNA on rat liver cell viability. | 1993 | 0 |
About Michael Marotta
Michael Marotta is a scholar working on Genetics, Molecular Biology, Virology, Infectious Diseases and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 669 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), HIV Research and Treatment (4 papers), HIV/AIDS Research and Interventions (3 papers), DNA Repair Mechanisms (3 papers), Genomics and Chromatin Dynamics (3 papers), HIV/AIDS drug development and treatment (3 papers), Cancer-related Molecular Pathways (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Virology (217 citations), Microbiology (243 citations), Immunology (162 citations), Infectious Diseases (136 citations) and Emergency Medical Services (30 citations). Michael Marotta has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Jan Weber, Miguel E. Quiñones‐Mateu, Bikram Chakraborty, Héctor R. Rangel, Patti Kiser, Michael M. Lederman, Zhimin Feng, Scott F. Sieg, Bin Jiang and Kathy Medvik. Their work appears in journals such as Nucleic Acids Research, Scientific Reports, JAIDS Journal of Acquired Immune Deficiency Syndromes, AIDS and PLoS Genetics.
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.