Christopher P. Mancuso

676 total citations
12 papers, 290 citations indexed

About

Christopher P. Mancuso is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Christopher P. Mancuso has authored 12 papers receiving a total of 290 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Biomedical Engineering. Recurrent topics in Christopher P. Mancuso's work include Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (4 papers) and Gut microbiota and health (3 papers). Christopher P. Mancuso is often cited by papers focused on Gene Regulatory Network Analysis (4 papers), Evolution and Genetic Dynamics (4 papers) and Gut microbiota and health (3 papers). Christopher P. Mancuso collaborates with scholars based in United States, Switzerland and Spain. Christopher P. Mancuso's co-authors include Ahmad S. Khalil, Szilvia Kiriakov, Caleb J. Bashor, Brandon G. Wong, Jeff Gore, Hyunseok Lee, Julia Maeve Bonner, Erinc Hallacli, Zhixiang Lu and Sohini Chakrabortee and has published in prestigious journals such as Cell, Nature Biotechnology and Analytical Chemistry.

In The Last Decade

Christopher P. Mancuso

11 papers receiving 288 citations

Peers

Christopher P. Mancuso

MB

BE

GENET

ECOLO

PS

Razan N. Alnahhas United States

Liyang Xiong United States

Daan H. de Groot Netherlands

Alice Boo United Kingdom

Alissa Kerner United States

Sergiu Netotea Sweden

Harrison Steel United Kingdom

Young-Su Seo South Korea

Lucie Studená United Kingdom

Ganapathy Rajaseger Singapore

Razan N. Alnahhas United States

Christopher P. Mancuso

184 ×0.9

MB

73 ×1.0

BE

44 ×0.8

GENET

32 ×0.9

ECOLO

23 ×1.1

PS

Citations per year, relative to Christopher P. Mancuso Christopher P. Mancuso (= 1×) peers Razan N. Alnahhas

Countries citing papers authored by Christopher P. Mancuso

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Christopher P. Mancuso

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher P. Mancuso. A scholar is included among the top collaborators of Christopher P. Mancuso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher P. Mancuso. Christopher P. Mancuso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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12 of 12 papers shown

1.

Mancuso, Christopher P., et al.. (2025). Intraspecies dynamics underlie the apparent stability of two important skin microbiome species. Cell Host & Microbe. 33(5). 643–656.e7. 1 indexed citations

2.

Mancuso, Christopher P., et al.. (2025). Intraspecies warfare restricts strain coexistence in human skin microbiomes. Nature Microbiology. 10(7). 1581–1592. 1 indexed citations

3.

Mancuso, Christopher P., et al.. (2025). High Precision Binary Trait Association on Phylogenetic Trees. bioRxiv (Cold Spring Harbor Laboratory).

4.

Sun, Qing, Nic M. Vega, Bernardo Cervantes, et al.. (2022). Enhancing nutritional niche and host defenses by modifying the gut microbiome. Molecular Systems Biology. 18(11). e9933–e9933. 11 indexed citations

5.

Mancuso, Christopher P., Zhixiang Lu, Jason Qian, Sarah A. Boswell, & Michael Springer. (2021). A Semi-Quantitative Isothermal Diagnostic Assay Utilizing Competitive Amplification. Analytical Chemistry. 93(27). 9541–9548. 16 indexed citations

6.

Mancuso, Christopher P., et al.. (2021). Environmental fluctuations reshape an unexpected diversity-disturbance relationship in a microbial community. eLife. 10. 34 indexed citations

7.

Mancuso, Christopher P., et al.. (2020). Sphingomonas solaris sp. nov., isolated from a solar panel in Boston, Massachusetts. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(3). 1814–1821. 9 indexed citations

8.

Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 3 indexed citations

9.

Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 8 indexed citations

10.

Wong, Brandon G., Christopher P. Mancuso, Szilvia Kiriakov, Caleb J. Bashor, & Ahmad S. Khalil. (2018). Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER. Nature Biotechnology. 36(7). 614–623. 161 indexed citations

11.

Newby, Gregory A., Szilvia Kiriakov, Erinc Hallacli, et al.. (2017). A Genetic Tool to Track Protein Aggregates and Control Prion Inheritance. Cell. 171(4). 966–979.e18. 45 indexed citations

12.

Mancuso, Christopher P., Szilvia Kiriakov, & Ahmad S. Khalil. (2016). Cellular Advantages to Signaling in a Digital World. Cell Systems. 3(2). 114–115. 1 indexed citations

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.

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