T.J. Baiga
Impact in
- Biotechnology top 5%
- Biochemical and biochemical processes
- Molecular Biology top 10%
- Plant biochemistry and biosynthesis
- Plant Gene Expression Analysis
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
-
- Plant biochemistry and biosynthesis 5
- Plant Gene Expression Analysis 5
- Chemical Synthesis and Analysis 2
- Peroxisome Proliferator-Activated Receptors 1
- RNA and protein synthesis mechanisms 1
-
- Microbial Natural Products and Biosynthesis 2
- Co-authors
- Joseph P. Noel (12 shared papers)Takao Koeduka (5 shared papers)Eran Pichersky (5 shared papers)Gordon V. Louie (4 shared papers)Irina Orlova (3 shared papers)Natalia Dudareva (3 shared papers)M.E. Bowman (4 shared papers)Christine M. Kish (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Plant Journal (2 papers)Nature Neuroscience (1 paper)PLANT PHYSIOLOGY (1 paper)PLoS ONE (1 paper)
- Partner nations
- United States
In The Last Decade
T.J. Baiga
13 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 95
- Biotechnology 132
- Molecular Biology 766
- Biochemistry 48
- Plant Science 291
- Food Science 107
Countries citing papers authored by T.J. Baiga
This map shows the geographic impact of T.J. Baiga'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.J. Baiga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.J. Baiga more than expected).
Fields of papers citing papers by T.J. Baiga
This network shows the impact of papers produced by T.J. Baiga. 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.J. Baiga. The network helps show where T.J. Baiga may publish in the future.
Co-authors
The 25 scholars most cited alongside T.J. Baiga, 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 | 2006 | 314 | |
| 2 | 2007 | 148 | |
| 3 | 2006 | 105 | |
| 4 | 2008 | 89 | |
| 5 | 2008 | 81 | |
| 6 | 2008 | 69 | |
| 7 | 1996 | 62 | |
| 8 | 2017 | 54 | |
| 9 | 2007 | 44 | |
| 10 | 2009 | 35 | |
| 11 | 2012 | 23 | |
| 12 | 2008 | 18 | |
| 13 | 2009 | 17 |
About T.J. Baiga
T.J. Baiga is a scholar working on Molecular Biology, Pharmacology, Ecology, Evolution, Behavior and Systematics, Plant Science and Infectious Diseases, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (5 papers), Plant Gene Expression Analysis (5 papers), Chemical Synthesis and Analysis (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper), Adipose Tissue and Metabolism (1 paper), RNA and protein synthesis mechanisms (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Biotechnology (132 citations), Molecular Biology (766 citations), Biochemistry (48 citations), Plant Science (291 citations) and Food Science (107 citations). T.J. Baiga has collaborated with scholars based in United States. Frequent co-authors include Joseph P. Noel, Takao Koeduka, Eran Pichersky, Gordon V. Louie, Irina Orlova, Natalia Dudareva, M.E. Bowman, Christine M. Kish, Daniel G. Vassão and David R. Gang. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Journal, Nature Neuroscience, PLANT PHYSIOLOGY 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.