Christopher P. Mancuso
Impact in
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- Microbial Metabolic Engineering and Bioproduction
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Viral Infectious Diseases and Gene Expression in Insects
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- Evolution and Genetic Dynamics
Papers in
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- Gut microbiota and health 4
- Gene Regulatory Network Analysis 4
- Bioinformatics and Genomic Networks 2
- Genomics and Phylogenetic Studies 2
- Microbial Metabolic Engineering and Bioproduction 2
- Advanced biosensing and bioanalysis techniques 1
- Genetics 4
- Evolution and Genetic Dynamics 4
- Co-authors
- Ahmad S. Khalil (8 shared papers)Szilvia Kiriakov (5 shared papers)Brandon G. Wong (3 shared papers)Caleb J. Bashor (3 shared papers)Jeff Gore (2 shared papers)Hyunseok Lee (1 shared paper)Clare Abreu (1 shared paper)Can Kayatekin (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Cell Reports (1 paper)Nature Microbiology (1 paper)Cell (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
Christopher P. Mancuso
12 papers receiving 295 citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 216
- Genetics 57
- Aging 3
- Biomedical Engineering 72
- Ecology 36
Countries citing papers authored by Christopher P. Mancuso
This map shows the geographic impact of Christopher P. Mancuso'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 Christopher P. Mancuso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher P. Mancuso more than expected).
Fields of papers citing papers by Christopher P. Mancuso
This network shows the impact of papers produced by Christopher P. Mancuso. 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 Christopher P. Mancuso. The network helps show where Christopher P. Mancuso may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher P. Mancuso, 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 | 167 | |
| 2 | 2017 | 45 | |
| 3 | 2021 | 34 | |
| 4 | 2021 | 16 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2019 | 8 | |
| 8 | 2019 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2016 | 1 | |
| 13 | 2025 | 0 |
About Christopher P. Mancuso
Christopher P. Mancuso is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Infectious Diseases and Dermatology, having authored 13 papers that have together received 298 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Evolution and Genetic Dynamics (4 papers), Gene Regulatory Network Analysis (4 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Phylogenetic Studies (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Molecular Biology (216 citations), Genetics (57 citations), Aging (3 citations), Biomedical Engineering (72 citations) and Ecology (36 citations). Christopher P. Mancuso has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Ahmad S. Khalil, Szilvia Kiriakov, Brandon G. Wong, Caleb J. Bashor, Jeff Gore, Hyunseok Lee, Clare Abreu, Can Kayatekin, Susan Lindquist and Zhixiang Lu. Their work appears in journals such as Journal of Visualized Experiments, Cell Reports, Nature Microbiology, Cell and Cell Systems.
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.