Christopher M. Crew
Impact in
- Aging top 10%
- Pharmacology top 5%
- Fungal Biology and Applications
Papers in
-
- Fungal and yeast genetics research 3
- Microbial Metabolic Engineering and Bioproduction 2
- Plant Reproductive Biology 1
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- Plant-Microbe Interactions and Immunity 2
- Co-authors
- Hildur V. Colot (3 shared papers)Gyungsoon Park (3 shared papers)Katherine A. Borkovich (3 shared papers)Jay Dunlap (3 shared papers)Carol S. Ringelberg (3 shared papers)G. Turner (1 shared paper)Richard L. Weiss (1 shared paper)Zenzi M. Griffin (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Methods in molecular biology (2 papers)Cambridge University Press eBooks (1 paper)
- Partner nations
- United States
In The Last Decade
Christopher M. Crew
4 papers receiving 1.1k citations
Christopher M. Crew's Hit Papers
Peers
Comparison fields: 5 of 70
- Aging 37
- Pharmacology 238
- Plant Science 534
- Endocrine and Autonomic Systems 83
- Molecular Biology 854
Countries citing papers authored by Christopher M. Crew
This map shows the geographic impact of Christopher M. Crew'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 M. Crew with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Crew more than expected).
Fields of papers citing papers by Christopher M. Crew
This network shows the impact of papers produced by Christopher M. Crew. 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 M. Crew. The network helps show where Christopher M. Crew may publish in the future.
Co-authors
The 13 scholars most cited alongside Christopher M. Crew, 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 | A high-throughput gene knockout procedure for Neurospora reveals functions for multiple transcription factors Hit paper breakdown → | 2006 | 981 |
| 2 | 2010 | 55 | |
| 3 | 2011 | 52 | |
| 4 | 2012 | 28 |
About Christopher M. Crew
Christopher M. Crew is a scholar working on Molecular Biology, Plant Science, Linguistics and Language, Literature and Literary Theory and Artificial Intelligence, having authored 4 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Multilingual Education and Policy (1 paper), Second Language Learning and Teaching (1 paper), Natural Language Processing Techniques (1 paper), Bacterial Genetics and Biotechnology (1 paper) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Aging (37 citations), Pharmacology (238 citations), Plant Science (534 citations), Endocrine and Autonomic Systems (83 citations) and Molecular Biology (854 citations). Christopher M. Crew has collaborated with scholars based in United States. Frequent co-authors include Hildur V. Colot, Gyungsoon Park, Katherine A. Borkovich, Jay Dunlap, Carol S. Ringelberg, G. Turner, Richard L. Weiss, Zenzi M. Griffin, Patrick D. Collopy and Svetlana Kryštofová. Their work appears in journals such as Proceedings of the National Academy of Sciences, Methods in molecular biology and Cambridge University Press eBooks.
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.