Michael P. Terns
Impact in
- Aging top 0.5%
Papers in
-
- RNA and protein synthesis mechanisms 63
- CRISPR and Genetic Engineering 48
- RNA modifications and cancer 33
- RNA Research and Splicing 29
- Physiology 14
- Telomeres, Telomerase, and Senescence 14
- Co-authors
- Rebecca M. Terns (63 shared papers)Hong Li (17 shared papers)Caryn Hale (8 shared papers)A. Gregory Matera (1 shared paper)Brenton R. Graveley (17 shared papers)Sara Olson (9 shared papers)Jason Carte (3 shared papers)Ruiying Wang (2 shared papers)
- Journals
- Nucleic Acids Research (15 papers)Molecular Cell (9 papers)Molecular and Cellular Biology (7 papers)Genes & Development (6 papers)RNA (6 papers)
- Partner nations
- United StatesFranceSwitzerland
In The Last Decade
Michael P. Terns
100 papers receiving 8.6k citations
Michael P. Terns's Hit Papers
Peers
Comparison fields: 5 of 115
- Business and International Management 463
- Aging 299
- Molecular Biology 8.0k
- Endocrinology 384
- Insect Science 687
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 101 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 | 860 |
| 2 | Non-coding RNAs: lessons from the small nuclear and small nucleolar RNAs Hit paper breakdown → | 2007 | 645 |
| 3 | 2008 | 474 | |
| 4 | 2009 | 422 | |
| 5 | 2011 | 354 | |
| 6 | 2012 | 260 | |
| 7 | 2005 | 246 | |
| 8 | 2015 | 241 | |
| 9 | 2008 | 201 | |
| 10 | 2010 | 193 | |
| 11 | 2016 | 185 | |
| 12 | 2015 | 179 | |
| 13 | 2003 | 159 | |
| 14 | Small nucleolar RNAs: versatile trans-acting molecules of ancient evolutionary origin. | 2002 | 151 |
| 15 | 2007 | 146 | |
| 16 | 2011 | 145 | |
| 17 | 2001 | 141 | |
| 18 | 2006 | 136 | |
| 19 | 2010 | 134 | |
| 20 | 2018 | 130 |
About Michael P. Terns
Michael P. Terns is a scholar working on Molecular Biology, Physiology, Ecology, Genetics and Cardiology and Cardiovascular Medicine, having authored 101 papers that have together received 8.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (63 papers), CRISPR and Genetic Engineering (48 papers), RNA modifications and cancer (33 papers), RNA Research and Splicing (29 papers), Telomeres, Telomerase, and Senescence (14 papers), Bacteriophages and microbial interactions (13 papers), Bacterial Genetics and Biotechnology (11 papers) and Viral Infections and Immunology Research (9 papers). The work is most often cited by research in Business and International Management (463 citations), Aging (299 citations), Molecular Biology (8.0k citations), Endocrinology (384 citations) and Insect Science (687 citations). Michael P. Terns has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Rebecca M. Terns, Hong Li, Caryn Hale, A. Gregory Matera, Brenton R. Graveley, Sara Olson, Jason Carte, Ruiying Wang, Lance Wells and Peng Zhao. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Molecular and Cellular Biology, Genes & Development and RNA.
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.