Narendra K. Vaish

2.2k citations
24 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
RNA and protein synthesis mechanisms (12 papers)Advanced biosensing and bioanalysis techniques (10 papers)Chemical Synthesis and Analysis (5 papers)

In The Last Decade

Narendra K. Vaish

23 papers receiving 1.6k citations

Hit Papers

Potent and persistent in vivo anti-HBV activity of chemic...20052026201220192005250500750

Peers

Narendra K. Vaish
Comparison fields: 5 of 79
  • Molecular Biology 1.3k
  • Cancer Research 306
  • Organic Chemistry 264
  • Genetics 166
  • Immunology 142
Replace Brian H. Johnston with:
Brian H. Johnston United States
A. G. Venyaminova Russia
Ziqing Qian United States
Vincent Murray Australia
Edward A. Kesicki United States
Erin T. Pelkey United States
Aldo Galeone Italy
Brian C. Froehler United States
Glen F. Deleavey Canada
Mark Matteucci United States
Narendra K. Vaish relative to Brian H. Johnston United States Brian H. Johnston's profile →
Citations per field
00.5×3.0×
Brian H. Johnston · 1×
Citations per year

Countries citing papers authored by Narendra K. Vaish

Since Specialization
Citations

This map shows the geographic impact of Narendra K. Vaish'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 K. Vaish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Narendra K. Vaish more than expected).

Fields of papers citing papers by Narendra K. Vaish

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Narendra K. Vaish. 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 K. Vaish. The network helps show where Narendra K. Vaish may publish in the future.

Co-authorship network of co-authors of Narendra K. Vaish

This figure shows the co-authorship network connecting the top 25 collaborators of Narendra K. Vaish. A scholar is included among the top collaborators of Narendra K. Vaish based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Narendra K. Vaish. Narendra K. Vaish is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 83
3
Potent and persistent in vivo anti-HBV activity of chemically modified siRNAsbreakdown →
908
4 1
5 17
6 0
7 202
8 23
9 59
10 40
11 9
12 47
13 60
14 1
15 30
16 27
17 16
18 11
19 23
20 13

About Narendra K. Vaish

Narendra K. Vaish is a scholar working on Toxicology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Advanced biosensing and bioanalysis techniques (10 papers) and Chemical Synthesis and Analysis (5 papers). The work is most often cited by research in Cancer Research (306 citations), Molecular Biology (1.3k citations) and Inorganic Chemistry (133 citations). Narendra K. Vaish has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Barry Polisky, Vasant Jadhav, K.M. Muraleedharan, Subramania Ranganathan, Narayanaswamy Jayaraman, Ian MacLachlan, Karin S. Blanchard, Lloyd B. Jeffs, Chandra Vargeese and Jennifer A. Lockridge. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society 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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