Michael P. Terns
Impact in
- Aging top 1%
Papers in
-
- RNA and protein synthesis mechanisms 57
- CRISPR and Genetic Engineering 46
- RNA modifications and cancer 30
- RNA Research and Splicing 27
- Advanced biosensing and bioanalysis techniques 9
- Physiology 14
- Telomeres, Telomerase, and Senescence 14
- Co-authors
- Rebecca M. Terns (57 shared papers)Caryn R. Hale (7 shared papers)A. Gregory Matera (1 shared paper)Brenton R. Graveley (17 shared papers)Sara N. Olson (9 shared papers)Peng Zhao (3 shared papers)Lance Wells (3 shared papers)Hong Li (14 shared papers)
- Journals
- Nucleic Acids Research (15 papers)Molecular Cell (11 papers)Molecular and Cellular Biology (7 papers)RNA (6 papers)Molecular Biology of the Cell (5 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Michael P. Terns
95 papers receiving 7.4k citations
Michael P. Terns's Hit Papers
Peers
Comparison fields: 5 of 116
- Business and International Management 345
- Aging 265
- Molecular Biology 6.8k
- Endocrinology 280
- Physiology 1.2k
Countries citing papers authored by Michael P. Terns
This map shows the geographic impact of Michael P. Terns'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 Michael P. Terns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael P. Terns more than expected).
Fields of papers citing papers by Michael P. Terns
This network shows the impact of papers produced by Michael P. Terns. 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 Michael P. Terns. The network helps show where Michael P. Terns may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael P. Terns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complex Hit paper breakdown → | 2009 | 865 |
| 2 | 2007 | 643 | |
| 3 | 2009 | 414 | |
| 4 | 2011 | 352 | |
| 5 | 2012 | 260 | |
| 6 | 2015 | 248 | |
| 7 | 2005 | 233 | |
| 8 | 2008 | 199 | |
| 9 | 2010 | 185 | |
| 10 | 2003 | 152 | |
| 11 | Small nucleolar RNAs: versatile trans-acting molecules of ancient evolutionary origin. | 2002 | 147 |
| 12 | 2011 | 146 | |
| 13 | 2007 | 142 | |
| 14 | 2001 | 137 | |
| 15 | 2006 | 134 | |
| 16 | 2010 | 131 | |
| 17 | 2018 | 130 | |
| 18 | 1999 | 118 | |
| 19 | 2002 | 111 | |
| 20 | 2013 | 108 |
About Michael P. Terns
Michael P. Terns is a scholar working on Molecular Biology, Physiology, Ecology, Genetics and Insect Science, having authored 96 papers that have together received 7.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (57 papers), CRISPR and Genetic Engineering (46 papers), RNA modifications and cancer (30 papers), RNA Research and Splicing (27 papers), Telomeres, Telomerase, and Senescence (14 papers), Bacteriophages and microbial interactions (13 papers), Bacterial Genetics and Biotechnology (11 papers) and Advanced biosensing and bioanalysis techniques (9 papers). The work is most often cited by research in Business and International Management (345 citations), Aging (265 citations), Molecular Biology (6.8k citations), Endocrinology (280 citations) and Physiology (1.2k citations). Michael P. Terns has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Rebecca M. Terns, Caryn R. Hale, A. Gregory Matera, Brenton R. Graveley, Sara N. Olson, Peng Zhao, Lance Wells, Hong Li, Michael Duff and Eladio B. Abreu. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Molecular and Cellular Biology, RNA and Molecular Biology of the 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.