Jack Greenblatt
Impact in
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
- Protein Structure and Dynamics
- RNA modifications and cancer
- Heat shock proteins research
- Microbial Metabolic Engineering and Bioproduction
- Aging top 5%
Papers in
-
- RNA modifications and cancer 19
- RNA Research and Splicing 16
- Bioinformatics and Genomic Networks 16
- Genomics and Chromatin Dynamics 13
- RNA and protein synthesis mechanisms 10
- Microbial Metabolic Engineering and Bioproduction 9
- Epigenetics and DNA Methylation 7
- Oncology 10
- Viral-associated cancers and disorders 8
- Co-authors
- Andrew EmiliNevan J. KroganC. James InglesKeith StringerMark GersteinRonald JansenDov GreenbaumMichael Davey
- Journals
- Nature (4 papers)Nucleic Acids Research (4 papers)Journal of Virology (4 papers)Scientific Reports (3 papers)Cell (3 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jack Greenblatt
67 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 5.6k
- Aging 73
- Genetics 946
- Computational Theory and Mathematics 470
- Cell Biology 389
Countries citing papers authored by Jack Greenblatt
This map shows the geographic impact of Jack Greenblatt'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 Jack Greenblatt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jack Greenblatt more than expected).
Fields of papers citing papers by Jack Greenblatt
This network shows the impact of papers produced by Jack Greenblatt. 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 Jack Greenblatt. The network helps show where Jack Greenblatt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jack Greenblatt, 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 | 2024 | 29 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2023 | 35 | |
| 5 | 2021 | 16 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 13 | |
| 8 | 2019 | 10 | |
| 9 | 2018 | 42 | |
| 10 | 2016 | 125 | |
| 11 | 2015 | 183 | |
| 12 | 2015 | 20 | |
| 13 | 2010 | 200 | |
| 14 | 2010 | 18 | |
| 15 | 2009 | 188 | |
| 16 | 2009 | 22 | |
| 17 | A Bayesian Networks Approach for Predicting Protein-Protein Interactions from Genomic Data Hit paper breakdown → | 2003 | 916 |
| 18 | 2002 | 204 | |
| 19 | 1996 | 5 | |
| 20 | 1991 | 320 |
About Jack Greenblatt
Jack Greenblatt is a scholar working on Molecular Biology, Oncology, Cell Biology, Biotechnology and Immunology, having authored 67 papers that have together received 6.4k indexed citations. Recurring topics across this work include RNA modifications and cancer (19 papers), RNA Research and Splicing (16 papers), Bioinformatics and Genomic Networks (16 papers), Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (10 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Viral-associated cancers and disorders (8 papers) and Epigenetics and DNA Methylation (7 papers). The work is most often cited by research in Molecular Biology (5.6k citations), Aging (73 citations), Genetics (946 citations), Computational Theory and Mathematics (470 citations) and Cell Biology (389 citations). Jack Greenblatt has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Andrew Emili, Nevan J. Krogan, C. James Ingles, Keith Stringer, Mark Gerstein, Ronald Jansen, Dov Greenbaum, Michael Davey, Yuval Kluger and Haiyuan Yu. Their work appears in journals such as Nature, Nucleic Acids Research, Journal of Virology, Scientific Reports 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.