Narendra Maheshri
- Genetics top 2%
- Virus-based gene therapy research 4
- Evolution and Genetic Dynamics 2
- Molecular Biology top 5%
- Gene Regulatory Network Analysis 7
- CRISPR and Genetic Engineering 6
- Viral Infectious Diseases and Gene Expression in Insects 5
- Fungal and yeast genetics research 3
- Single-cell and spatial transcriptomics 2
- RNA Interference and Gene Delivery 2
- Biophysics top 2%
- Aging top 10%
- Co-authors
- Erin K. O’SheaDavid V. SchafferBrian K. KasparJames T. KoerberTsz‐Leung ToArren Bar‐EvenNaama BarkaiYitzhak Pilpel
- Cited by
- GeneticsMolecular BiologyBiophysics
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesCzechiaIsrael
In The Last Decade
Narendra Maheshri
15 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Genetics 968
- Molecular Biology 1.9k
- Biophysics 143
- Aging 20
- Statistical and Nonlinear Physics 93
Countries citing papers authored by Narendra Maheshri
This map shows the geographic impact of Narendra Maheshri'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 Narendra Maheshri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra Maheshri more than expected).
Fields of papers citing papers by Narendra Maheshri
This network shows the impact of papers produced by Narendra Maheshri. 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 Narendra Maheshri. The network helps show where Narendra Maheshri may publish in the future.
Co-authorship network
The 18 scholars most cited alongside Narendra Maheshri, 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 | Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression | 2013 | 115 |
| 2 | 2013 | 0 | |
| 3 | 2013 | 3 | |
| 4 | 2013 | 3 | |
| 5 | 2013 | 39 | |
| 6 | 2012 | 106 | |
| 7 | 2010 | 213 | |
| 8 | 2010 | 205 | |
| 9 | 2009 | 74 | |
| 10 | 2007 | 232 | |
| 11 | 2006 | 63 | |
| 12 | 2006 | 419 | |
| 13 | Noise in protein expression scales with natural protein abundancebreakdown → | 2006 | 609 |
| 14 | 2005 | 130 | |
| 15 | 2004 | 16 | |
| 16 | 2003 | 21 |
About Narendra Maheshri
Narendra Maheshri is a scholar working on Molecular Biology, Genetics and Bioengineering, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), CRISPR and Genetic Engineering (6 papers), Viral Infectious Diseases and Gene Expression in Insects (5 papers), Virus-based gene therapy research (4 papers), Fungal and yeast genetics research (3 papers), Single-cell and spatial transcriptomics (2 papers), Evolution and Genetic Dynamics (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Genetics (968 citations), Molecular Biology (1.9k citations) and Biophysics (143 citations). Narendra Maheshri has collaborated with scholars based in United States, Czechia and Israel. Frequent co-authors include Erin K. O’Shea, David V. Schaffer, Brian K. Kaspar, James T. Koerber, Tsz‐Leung To, Arren Bar‐Even, Naama Barkai, Yitzhak Pilpel, Miri Carmi and Johan Paulsson. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.