Christopher D. Guzman
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
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- CRISPR and Genetic Engineering 4
- Viral Infectious Diseases and Gene Expression in Insects 1
- RNA Interference and Gene Delivery 1
- Gene Regulatory Network Analysis 1
- Microbial Metabolic Engineering and Bioproduction 1
- Pluripotent Stem Cells Research 1
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- Immune Cell Function and Interaction 1
- Co-authors
- George M. Church (2 shared papers)Norbert Perrimon (1 shared paper)Ron Weiss (1 shared paper)John Aach (1 shared paper)Alejandro Chavez (1 shared paper)Eswar Prasad R. Iyer (1 shared paper)Marcelle Tuttle (1 shared paper)Samira Kiani (1 shared paper)
- Journals
- Nucleic Acids Research (1 paper)Nature Methods (1 paper)Nature Neuroscience (1 paper)Science Advances (1 paper)Cell (1 paper)
- Partner nations
- United StatesSwitzerlandJapan
In The Last Decade
Christopher D. Guzman
5 papers receiving 1.8k citations
Christopher D. Guzman's Hit Papers
Peers
Comparison fields: 5 of 77
- Aging 142
- Business and International Management 92
- Molecular Biology 1.6k
- Genetics 306
- Oncology 260
Countries citing papers authored by Christopher D. Guzman
This map shows the geographic impact of Christopher D. Guzman'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 D. Guzman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher D. Guzman more than expected).
Fields of papers citing papers by Christopher D. Guzman
This network shows the impact of papers produced by Christopher D. Guzman. 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 D. Guzman. The network helps show where Christopher D. Guzman may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher D. Guzman, 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 | Highly efficient Cas9-mediated transcriptional programming Hit paper breakdown → | 2015 | 1208 |
| 2 | 2019 | 225 | |
| 3 | 2015 | 178 | |
| 4 | 2017 | 176 | |
| 5 | 2018 | 72 |
About Christopher D. Guzman
Christopher D. Guzman is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Biophysics, having authored 5 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Cell Image Analysis Techniques (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), RNA Interference and Gene Delivery (1 paper), Gene Regulatory Network Analysis (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Pluripotent Stem Cells Research (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Aging (142 citations), Business and International Management (92 citations), Molecular Biology (1.6k citations), Genetics (306 citations) and Oncology (260 citations). Christopher D. Guzman has collaborated with scholars based in United States, Switzerland and Japan. Frequent co-authors include George M. Church, Norbert Perrimon, Ron Weiss, John Aach, Alejandro Chavez, Eswar Prasad R. Iyer, Marcelle Tuttle, Samira Kiani, Daniel J. Wiegand and Noah Davidsohn. Their work appears in journals such as Nucleic Acids Research, Nature Methods, Nature Neuroscience, Science Advances and Cell.
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.