Brian Tjaden
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Endocrinology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 20
- Genomics and Phylogenetic Studies 15
- RNA modifications and cancer 7
- RNA Research and Splicing 4
- Glycosylation and Glycoproteins Research 2
- Genetics 11
- Bacterial Genetics and Biotechnology 11
- Co-authors
- Carsten RosenowAixia ZhangGisela StorzSusan GottesmanCaroline A. GencoRyan McClureKaren M. WassarmanPaul Sumby
- Journals
- Nucleic Acids Research (5 papers)Molecular Microbiology (2 papers)Journal of Bacteriology (2 papers)RNA Biology (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Brian Tjaden
37 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Genetics 1.1k
- Endocrinology 168
- Molecular Biology 2.2k
- Molecular Medicine 151
- Microbiology 184
Countries citing papers authored by Brian Tjaden
This map shows the geographic impact of Brian Tjaden'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 Brian Tjaden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Tjaden more than expected).
Fields of papers citing papers by Brian Tjaden
This network shows the impact of papers produced by Brian Tjaden. 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 Brian Tjaden. The network helps show where Brian Tjaden may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Brian Tjaden, 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 | 2023 | 8 | |
| 2 | 2019 | 44 | |
| 3 | 2018 | 24 | |
| 4 | 2017 | 87 | |
| 5 | 2016 | 77 | |
| 6 | 2015 | 50 | |
| 7 | 2014 | 140 | |
| 8 | 2014 | 19 | |
| 9 | 2013 | 116 | |
| 10 | Computational analysis of bacterial RNA-Seq data Hit paper breakdown → | 2013 | 447 |
| 11 | 2011 | 27 | |
| 12 | 2010 | 3 | |
| 13 | 2008 | 57 | |
| 14 | 2007 | 92 | |
| 15 | 2007 | 8 | |
| 16 | 2006 | 23 | |
| 17 | Coding in tongues: a bilingual programming perspective to data structures | 2003 | 1 |
| 18 | 2003 | 421 | |
| 19 | 2002 | 35 | |
| 20 | 2001 | 4 |
About Brian Tjaden
Brian Tjaden is a scholar working on Molecular Biology, Genetics, Ecology, Microbiology and Hardware and Architecture, having authored 37 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (20 papers), Genomics and Phylogenetic Studies (15 papers), Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (7 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (4 papers), Glycosylation and Glycoproteins Research (2 papers) and Reproductive tract infections research (2 papers). The work is most often cited by research in Genetics (1.1k citations), Endocrinology (168 citations), Molecular Biology (2.2k citations), Molecular Medicine (151 citations) and Microbiology (184 citations). Brian Tjaden has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Carsten Rosenow, Aixia Zhang, Gisela Storz, Susan Gottesman, Caroline A. Genco, Ryan McClure, Karen M. Wassarman, Paul Sumby, Carin K. Vanderpool and Divya Balasubramanian. Their work appears in journals such as Nucleic Acids Research, Molecular Microbiology, Journal of Bacteriology, RNA Biology and PLoS ONE.
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.