T.M. Booth
Impact in
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- ATP Synthase and ATPases Research
- Structural Biology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 6
- RNA Research and Splicing 3
- Protein Structure and Dynamics 1
- ATP Synthase and ATPases Research 1
- Genomics and Phylogenetic Studies 1
- Genetics 1
- Bacterial Genetics and Biotechnology 1
- Co-authors
- Rajendra K. Agrawal (7 shared papers)Manjuli R. Sharma (7 shared papers)Partha P. Datta (2 shared papers)Linda Spremulli (2 shared papers)Emine C. Koc (1 shared paper)Daniel N. Wilson (2 shared papers)Paola Fucini (2 shared papers)Masahito Kawazoe (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Molecular Cell (2 papers)Nature (1 paper)Cell (1 paper)Mitochondrion (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
T.M. Booth
8 papers receiving 808 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 738
- Structural Biology 13
- Genetics 158
- Clinical Biochemistry 26
- Ecology 86
Countries citing papers authored by T.M. Booth
This map shows the geographic impact of T.M. Booth'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 T.M. Booth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.M. Booth more than expected).
Fields of papers citing papers by T.M. Booth
This network shows the impact of papers produced by T.M. Booth. 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 T.M. Booth. The network helps show where T.M. Booth may publish in the future.
Co-authors
The 25 scholars most cited alongside T.M. Booth, 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 | 269 | |
| 2 | 2004 | 118 | |
| 3 | 2020 | 111 | |
| 4 | 2005 | 110 | |
| 5 | 2007 | 75 | |
| 6 | 2009 | 69 | |
| 7 | 2014 | 55 | |
| 8 | 2011 | 1 |
About T.M. Booth
T.M. Booth is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Infectious Diseases and Organic Chemistry, having authored 8 papers that have together received 808 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (6 papers), RNA Research and Splicing (3 papers), Enzyme Structure and Function (1 paper), Protein Structure and Dynamics (1 paper), Bacterial Genetics and Biotechnology (1 paper), ATP Synthase and ATPases Research (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Molecular Biology (738 citations), Structural Biology (13 citations), Genetics (158 citations), Clinical Biochemistry (26 citations) and Ecology (86 citations). T.M. Booth has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Rajendra K. Agrawal, Manjuli R. Sharma, Partha P. Datta, Linda Spremulli, Emine C. Koc, Daniel N. Wilson, Paola Fucini, Masahito Kawazoe, Shigeyuki Yokoyama and Dmitri Maslov. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Nature, Cell and Mitochondrion.
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.