Narendra Maheshri

3.1k citations
16 papers · 2.2k indexed · 1 hit paper · h-index 13
  • Genetics top 2%
    • Virus-based gene therapy research 4
    • Evolution and Genetic Dynamics 2
    • 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%

Narendra Maheshri

15 papers receiving 2.2k citations

Hit Papers

Noise in protein expression scales with natural protein a...6092006202620122019200400600

Peers

Narendra Maheshri
Comparison fields: 5 of 104
  • Genetics 968
  • Molecular Biology 1.9k
  • Biophysics 143
  • Aging 20
  • Statistical and Nonlinear Physics 93
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Citations per field
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Citations per year

Countries citing papers authored by Narendra Maheshri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Narendra Maheshri Line = papers co-authored together Narendra Maheshri links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1
Cell-Cycle Dependence of Transcription Dominates Noise in Gene Expression
2013115
2 20130
3 20133
4 20133
5 201339
6 2012106
7 2010213
8 2010205
9 200974
10 2007232
11 200663
12 2006419
13
Noise in protein expression scales with natural protein abundancebreakdown →
2006609
14 2005130
15 200416
16 200321

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.

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