Joe DeRisi
Impact in
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- Fungal and yeast genetics research
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Microbial Metabolic Engineering and Bioproduction
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
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- Fungal and yeast genetics research 3
- Microbial Metabolic Engineering and Bioproduction 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
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- Tuberculosis Research and Epidemiology 1
- Co-authors
- Patrick O. Brown (2 shared papers)Michelle Dimon (1 shared paper)Daniel Herschlag (1 shared paper)Kelly A. Shepard (1 shared paper)André P. Gerber (1 shared paper)Ashwini Jambhekar (1 shared paper)Peter A. Takizawa (1 shared paper)Ronald D. Vale (1 shared paper)
- Journals
- Current Biology (1 paper)Neurology (1 paper)Genetics (1 paper)Genome biology (1 paper)PLoS Biology (1 paper)
- Partner nations
- United StatesUgandaChina
In The Last Decade
Joe DeRisi
11 papers receiving 703 citations
Peers
Comparison fields: 5 of 69
- Molecular Biology 566
- Cell Biology 117
- Aging 10
- Parasitology 31
- Public Health, Environmental and Occupational Health 105
Countries citing papers authored by Joe DeRisi
This map shows the geographic impact of Joe DeRisi'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 Joe DeRisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joe DeRisi more than expected).
Fields of papers citing papers by Joe DeRisi
This network shows the impact of papers produced by Joe DeRisi. 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 Joe DeRisi. The network helps show where Joe DeRisi may publish in the future.
Co-authors
The 25 scholars most cited alongside Joe DeRisi, 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 | 2003 | 239 | |
| 2 | 1998 | 152 | |
| 3 | 2011 | 101 | |
| 4 | 2009 | 73 | |
| 5 | 2004 | 57 | |
| 6 | 2013 | 45 | |
| 7 | 2008 | 42 | |
| 8 | 2021 | 5 | |
| 9 | 2019 | 1 | |
| 10 | Peppytides: Interactive Models of Polypeptide Chains | 2014 | 1 |
| 11 | 2003 | 1 |
About Joe DeRisi
Joe DeRisi is a scholar working on Molecular Biology, Infectious Diseases, Computer Networks and Communications, Health and Virology, having authored 11 papers that have together received 717 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Vaccine Coverage and Hesitancy (1 paper), Tuberculosis Research and Epidemiology (1 paper), Mycobacterium research and diagnosis (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (566 citations), Cell Biology (117 citations), Aging (10 citations), Parasitology (31 citations) and Public Health, Environmental and Occupational Health (105 citations). Joe DeRisi has collaborated with scholars based in United States, Uganda and China. Frequent co-authors include Patrick O. Brown, Michelle Dimon, Daniel Herschlag, Kelly A. Shepard, André P. Gerber, Ashwini Jambhekar, Peter A. Takizawa, Ronald D. Vale, Michael J. DeVit and Mark Johnston. Their work appears in journals such as Current Biology, Neurology, Genetics, Genome biology and PLoS Biology.
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.