Robert M. McCarroll
Impact in
- Aging top 10%
- Molecular Biology top 10%
- DNA Repair Mechanisms
- Fungal and yeast genetics research
- Metabolomics and Mass Spectrometry Studies
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
Papers in
-
- Fungal and yeast genetics research 5
- DNA Repair Mechanisms 3
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Microbial Metabolic Engineering and Bioproduction 1
- RNA modifications and cancer 1
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Walton L. Fangman (2 shared papers)Andrew W. Murray (1 shared paper)Mitchell L. Sogin (2 shared papers)Robert Edgardo Gerszten (1 shared paper)Emerson Liu (1 shared paper)Gary J. Olsen (2 shared papers)Roger C. Wiegand (1 shared paper)David A. Morrow (1 shared paper)
- Journals
- Science (1 paper)Molecular and Cellular Biology (1 paper)Nucleic Acids Research (1 paper)Biochemistry (1 paper)Genetics (1 paper)
- Partner nations
- United StatesSwedenItaly
In The Last Decade
Robert M. McCarroll
11 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Aging 29
- Molecular Biology 1.1k
- Cell Biology 249
- Genetics 251
- Plant Science 317
Countries citing papers authored by Robert M. McCarroll
This map shows the geographic impact of Robert M. McCarroll'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 Robert M. McCarroll with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert M. McCarroll more than expected).
Fields of papers citing papers by Robert M. McCarroll
This network shows the impact of papers produced by Robert M. McCarroll. 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 Robert M. McCarroll. The network helps show where Robert M. McCarroll may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert M. McCarroll, 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 | 2005 | 401 | |
| 2 | 1988 | 247 | |
| 3 | 2004 | 228 | |
| 4 | 2000 | 173 | |
| 5 | 1983 | 161 | |
| 6 | 1989 | 96 | |
| 7 | 1990 | 90 | |
| 8 | 1983 | 37 | |
| 9 | 1993 | 28 | |
| 10 | 1982 | 24 | |
| 11 | 2005 | 1 |
About Robert M. McCarroll
Robert M. McCarroll is a scholar working on Molecular Biology, Cell Biology, Plant Science, Ecology and Genetics, having authored 11 papers that have together received 1.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), DNA Repair Mechanisms (3 papers), Microtubule and mitosis dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), RNA modifications and cancer (1 paper) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Aging (29 citations), Molecular Biology (1.1k citations), Cell Biology (249 citations), Genetics (251 citations) and Plant Science (317 citations). Robert M. McCarroll has collaborated with scholars based in United States, Sweden and Italy. Frequent co-authors include Walton L. Fangman, Andrew W. Murray, Mitchell L. Sogin, Robert Edgardo Gerszten, Emerson Liu, Gary J. Olsen, Roger C. Wiegand, David A. Morrow, Eric Heller and Frederick Philip Roth. Their work appears in journals such as Science, Molecular and Cellular Biology, Nucleic Acids Research, Biochemistry and 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.