Mark Cavanaugh
Impact in
- Ecology top 2%
- Microbial Community Ecology and Physiology
- Environmental DNA in Biodiversity Studies
- Bacteriophages and microbial interactions
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies
- Identification and Quantification in Food
- RNA and protein synthesis mechanisms
Papers in
-
- Genomics and Phylogenetic Studies 9
- RNA and protein synthesis mechanisms 3
- Protist diversity and phylogeny 1
- Gene expression and cancer classification 1
- Ecology 8
- Bacteriophages and microbial interactions 6
- Microbial Community Ecology and Physiology 3
- Environmental DNA in Biodiversity Studies 2
- Co-authors
- Ilene Karsch‐Mizrachi (10 shared papers)Eric W Sayers (10 shared papers)Karen Clark (9 shared papers)James Ostell (5 shared papers)D. A. Benson (3 shared papers)David J. Lipman (2 shared papers)Kim D. Pruitt (8 shared papers)Stephen T. Sherry (4 shared papers)
- Partner nations
- United StatesIndia
In The Last Decade
Mark Cavanaugh
12 papers receiving 4.5k citations
Mark Cavanaugh's Hit Papers
Peers
Comparison fields: 5 of 160
- Ecology 968
- Molecular Biology 2.2k
- Ecological Modeling 119
- Endocrinology 137
- Infectious Diseases 371
Countries citing papers authored by Mark Cavanaugh
This map shows the geographic impact of Mark Cavanaugh'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 Mark Cavanaugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Cavanaugh more than expected).
Fields of papers citing papers by Mark Cavanaugh
This network shows the impact of papers produced by Mark Cavanaugh. 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 Mark Cavanaugh. The network helps show where Mark Cavanaugh may publish in the future.
Co-authors
The 16 scholars most cited alongside Mark Cavanaugh, 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 | GenBank Hit paper breakdown → | 2012 | 2369 |
| 2 | GenBank Hit paper breakdown → | 2017 | 525 |
| 3 | GenBank Hit paper breakdown → | 2016 | 470 |
| 4 | GenBank Hit paper breakdown → | 2018 | 344 |
| 5 | 2019 | 218 | |
| 6 | 2020 | 188 | |
| 7 | 2021 | 140 | |
| 8 | 2022 | 88 | |
| 9 | 2023 | 68 | |
| 10 | 1990 | 59 | |
| 11 | 2024 | 22 | |
| 12 | 1990 | 20 |
About Mark Cavanaugh
Mark Cavanaugh is a scholar working on Molecular Biology, Ecology, Plant Science, Information Systems and Microbiology, having authored 12 papers that have together received 4.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (9 papers), Bacteriophages and microbial interactions (6 papers), Microbial Community Ecology and Physiology (3 papers), RNA and protein synthesis mechanisms (3 papers), Environmental DNA in Biodiversity Studies (2 papers), Research Data Management Practices (1 paper), Protist diversity and phylogeny (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Ecology (968 citations), Molecular Biology (2.2k citations), Ecological Modeling (119 citations), Endocrinology (137 citations) and Infectious Diseases (371 citations). Mark Cavanaugh has collaborated with scholars based in United States and India. Frequent co-authors include Ilene Karsch‐Mizrachi, Eric W Sayers, Karen Clark, James Ostell, D. A. Benson, David J. Lipman, Kim D. Pruitt, Stephen T. Sherry, Conrad L. Schoch and Linda Yankie. Their work appears in journals such as Nucleic Acids Research and Science.
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.