Michael P. Terns

15.5k citations
99 papers · 8.2k indexed · 2 hit papers · h-index 49

Impact in

Papers in

Michael P. Terns

98 papers receiving 8.1k citations

Hit Papers

RNA-Guided RNA Cleavage by a CRISPR RNA-Cas Protein Complex 2009 · 793 citations
7932007202620132019250500750

Peers

Michael P. Terns
Comparison fields: 5 of 111
  • Business and International Management 404
  • Aging 283
  • Molecular Biology 7.7k
  • Endocrinology 357
  • Insect Science 645
Replace Rebecca M. Terns with:
Rebecca M. Terns United States
Ekaterina Semenova United States
Bernd Zetsche United States
Patrick Essletzbichler Austria
Gavin J. Knott United States
James K. Nuñez United States
Fuguo Jiang United States
Christopher A. Vakulskas United States
Giedrius Gasiūnas Lithuania
Michèle P. Calos United States
Michael P. Terns relative to Rebecca M. Terns United States Rebecca M. Terns's profile →
Citations per field
00.5×1.5×
Rebecca M. Terns · 1×
Citations per year

Countries citing papers authored by Michael P. Terns

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Michael P. Terns Line = papers co-authored together Michael P. Terns links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20234
3 20233
4 2018120
5 201728
6 2016177
7 2013105
8 2011130
9 2011332
10 201048
11 200817
12 2008185
13 2007142
14 2005234
15 2003158
16 200219
17 2001134
18 199935
19 1999122
20 199233

About Michael P. Terns

Michael P. Terns is a scholar working on Business and International Management, Molecular Biology, Aging, Physiology and Ecology, having authored 99 papers that have together received 8.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (62 papers), CRISPR and Genetic Engineering (47 papers), RNA modifications and cancer (32 papers), RNA Research and Splicing (28 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 (404 citations), Aging (283 citations), Molecular Biology (7.7k citations), Endocrinology (357 citations) and Insect Science (645 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, Peng Zhao and Lance Wells. Their work appears in journals such as Nucleic Acids Research, Molecular Cell, Molecular and Cellular Biology, RNA and Genes & Development.

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.

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