Brian C. McNulty
Impact in
- Insect Science top 2%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Entomopathogenic Microorganisms in Pest Control
- Endocrinology top 10%
Papers in
-
- Insect Resistance and Genetics 5
- CRISPR and Genetic Engineering 2
-
- Entomopathogenic Microorganisms in Pest Control 3
- Insect and Pesticide Research 1
- Co-authors
- Gregory B. Young (2 shared papers)Gary J. Pielak (2 shared papers)Renata Bolognesi (3 shared papers)George G. Kennedy (1 shared paper)J. W. Moyer (1 shared paper)Sang‐Hoon Sin (1 shared paper)Jeffery L. Dangl (2 shared papers)Thomas L. Clark (3 shared papers)
- Journals
- PLoS ONE (3 papers)PLoS Pathogens (2 papers)Proceedings of the National Academy of Sciences (2 papers)RNA (1 paper)Protein Science (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Brian C. McNulty
11 papers receiving 803 citations
Peers
Comparison fields: 5 of 61
- Insect Science 278
- Endocrinology 55
- Plant Science 360
- Molecular Biology 547
- Aging 7
Countries citing papers authored by Brian C. McNulty
This map shows the geographic impact of Brian C. McNulty'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 Brian C. McNulty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian C. McNulty more than expected).
Fields of papers citing papers by Brian C. McNulty
This network shows the impact of papers produced by Brian C. McNulty. 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 Brian C. McNulty. The network helps show where Brian C. McNulty may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian C. McNulty, 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 | 2018 | 157 | |
| 2 | 2005 | 138 | |
| 3 | 2005 | 100 | |
| 4 | 2015 | 95 | |
| 5 | 2013 | 85 | |
| 6 | 2007 | 76 | |
| 7 | 2009 | 73 | |
| 8 | 2006 | 38 | |
| 9 | 2017 | 37 | |
| 10 | 2016 | 21 | |
| 11 | 2007 | 1 |
About Brian C. McNulty
Brian C. McNulty is a scholar working on Molecular Biology, Insect Science, Plant Science, Neurology and Ecology, having authored 11 papers that have together received 821 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (5 papers), Entomopathogenic Microorganisms in Pest Control (3 papers), Plant Pathogenic Bacteria Studies (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Plant Virus Research Studies (2 papers), CRISPR and Genetic Engineering (2 papers), Plant-Microbe Interactions and Immunity (1 paper) and Insect and Pesticide Research (1 paper). The work is most often cited by research in Insect Science (278 citations), Endocrinology (55 citations), Plant Science (360 citations), Molecular Biology (547 citations) and Aging (7 citations). Brian C. McNulty has collaborated with scholars based in United States and France. Frequent co-authors include Gregory B. Young, Gary J. Pielak, Renata Bolognesi, George G. Kennedy, J. W. Moyer, Sang‐Hoon Sin, Jeffery L. Dangl, Thomas L. Clark, Gerrit Segers and Parthasarathy Ramaseshadri. Their work appears in journals such as PLoS ONE, PLoS Pathogens, Proceedings of the National Academy of Sciences, RNA and Protein 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.