Tejasvi Niranjan
Impact in
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- Glycosylation and Glycoproteins Research
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
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- Genetics and Neurodevelopmental Disorders
- Genomic variations and chromosomal abnormalities
Papers in
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- Molecular Biology Techniques and Applications 2
- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- Ubiquitin and proteasome pathways 1
- Genetics 5
- Genetics and Neurodevelopmental Disorders 3
- Genomic variations and chromosomal abnormalities 2
- Co-authors
- Tao Wang (7 shared papers)Charles E. Schwartz (6 shared papers)Sarah J. Wheelan (4 shared papers)Tao Wang (1 shared paper)Curt I. Civin (1 shared paper)Jef D. Boeke (1 shared paper)A.M. Schneider (1 shared paper)Jared P. Steranka (1 shared paper)
- Journals
- Genome biology (2 papers)Bioinformatics (1 paper)Frontiers in Genetics (1 paper)Neuron (1 paper)Cell (1 paper)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Tejasvi Niranjan
11 papers receiving 491 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 368
- Genetics 142
- Plant Science 167
- Cellular and Molecular Neuroscience 63
- Aging 6
Countries citing papers authored by Tejasvi Niranjan
This map shows the geographic impact of Tejasvi Niranjan'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 Tejasvi Niranjan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tejasvi Niranjan more than expected).
Fields of papers citing papers by Tejasvi Niranjan
This network shows the impact of papers produced by Tejasvi Niranjan. 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 Tejasvi Niranjan. The network helps show where Tejasvi Niranjan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tejasvi Niranjan, 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 | 2010 | 208 | |
| 2 | 2017 | 84 | |
| 3 | 2011 | 74 | |
| 4 | 2017 | 47 | |
| 5 | 2015 | 39 | |
| 6 | 2017 | 16 | |
| 7 | 2016 | 10 | |
| 8 | 2019 | 10 | |
| 9 | 2011 | 7 | |
| 10 | 2019 | 1 | |
| 11 | 2011 | 1 |
About Tejasvi Niranjan
Tejasvi Niranjan is a scholar working on Molecular Biology, Genetics, Cognitive Neuroscience, Cell Biology and Organic Chemistry, having authored 11 papers that have together received 497 indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (3 papers), Autism Spectrum Disorder Research (2 papers), Cellular transport and secretion (2 papers), Molecular Biology Techniques and Applications (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Molecular Biology (368 citations), Genetics (142 citations), Plant Science (167 citations), Cellular and Molecular Neuroscience (63 citations) and Aging (6 citations). Tejasvi Niranjan has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Tao Wang, Charles E. Schwartz, Sarah J. Wheelan, Tao Wang, Curt I. Civin, Jef D. Boeke, A.M. Schneider, Jared P. Steranka, Hongkai Ji and Cindy Skinner. Their work appears in journals such as Genome biology, Bioinformatics, Frontiers in Genetics, Neuron and Cell.
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.