Tal V. Murthy
Impact in
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- Fungal and yeast genetics research
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Microbial Metabolic Engineering and Bioproduction
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
Papers in ⓘ
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- Fungal and yeast genetics research 3
- RNA and protein synthesis mechanisms 2
- Advanced Biosensing Techniques and Applications 2
- Bacterial biofilms and quorum sensing 1
- Bacillus and Francisella bacterial research 1
- Ecology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- Paike Jayadeva Bhat (2 shared papers)Joshua LaBaer (5 shared papers)Zhenwei Shi (3 shared papers)Andreas Rolfs (3 shared papers)Yanhui Hu (3 shared papers)Federico De Masi (1 shared paper)Martha L. Bulyk (1 shared paper)Kelsey J.R.P. Byers (1 shared paper)
- Journals
- Genome Research (2 papers)Molecular Microbiology (1 paper)Biotechnology Letters (1 paper)Protein Expression and Purification (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Tal V. Murthy
9 papers receiving 610 citations
Peers
Comparison fields: 5 of 61
- Molecular Biology 561
- Aging 8
- Endocrinology 18
- Molecular Medicine 16
- Genetics 81
Countries citing papers authored by Tal V. Murthy
This map shows the geographic impact of Tal V. Murthy'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 Tal V. Murthy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tal V. Murthy more than expected).
Fields of papers citing papers by Tal V. Murthy
This network shows the impact of papers produced by Tal V. Murthy. 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 Tal V. Murthy. The network helps show where Tal V. Murthy may publish in the future.
Co-authors
The 25 scholars most cited alongside Tal V. Murthy, 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 | 2009 | 322 | |
| 2 | 2001 | 116 | |
| 3 | 2004 | 72 | |
| 4 | 2004 | 39 | |
| 5 | 2005 | 34 | |
| 6 | 2007 | 20 | |
| 7 | 2011 | 6 | |
| 8 | 2000 | 5 | |
| 9 | 2004 | 4 |
About Tal V. Murthy
Tal V. Murthy is a scholar working on Molecular Biology, Ecology, Genetics, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 618 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Bacteriophages and microbial interactions (3 papers), Fungal and yeast genetics research (3 papers), RNA and protein synthesis mechanisms (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Cell Image Analysis Techniques (1 paper), Bacterial biofilms and quorum sensing (1 paper) and Bacillus and Francisella bacterial research (1 paper). The work is most often cited by research in Molecular Biology (561 citations), Aging (8 citations), Endocrinology (18 citations), Molecular Medicine (16 citations) and Genetics (81 citations). Tal V. Murthy has collaborated with scholars based in United States and India. Frequent co-authors include Paike Jayadeva Bhat, Joshua LaBaer, Zhenwei Shi, Andreas Rolfs, Yanhui Hu, Federico De Masi, Martha L. Bulyk, Kelsey J.R.P. Byers, Zachary D. Smith and Anthony Philippakis. Their work appears in journals such as Genome Research, Molecular Microbiology, Biotechnology Letters, Protein Expression and Purification and Biochemical and Biophysical Research Communications.
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.