Vidhya Krishnamoorthy

1.5k citations
11 papers · 1.1k · h-index 10

Impact in

Papers in

    • Plant tissue culture and regeneration 4
    • Nuclear Structure and Function 3
    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 2
    • Biochemical and Molecular Research 1
    • Toxin Mechanisms and Immunotoxins 4

Vidhya Krishnamoorthy

11 papers receiving 1.1k citations

Peers

Vidhya Krishnamoorthy
Comparison fields: 5 of 71
  • Endocrinology 298
  • Molecular Medicine 179
  • Infectious Diseases 237
  • Genetics 341
  • Parasitology 64
Replace Krishnamohan Atmakuri with:
Krishnamohan Atmakuri India
Jason F. Huntley United States
Wilson J. Ribot United States
Hye‐Jeong Yeo United States
Kaman Chan United States
Françoise Ramisse France
Leyla Slamti France
Wei Kong United States
Sophie A. Matthews United Kingdom
Fernando Ruı́z-Pérez United States
Vidhya Krishnamoorthy relative to Krishnamohan Atmakuri India Krishnamohan Atmakuri's profile →
Citations per field
00.5×1.6×
Krishnamohan Atmakuri · 1×
Citations per year

Countries citing papers authored by Vidhya Krishnamoorthy

Since Specialization
Citations

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

Fields of papers citing papers by Vidhya Krishnamoorthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vidhya Krishnamoorthy. 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 Vidhya Krishnamoorthy. The network helps show where Vidhya Krishnamoorthy may publish in the future.

Co-authors

The 25 scholars most cited alongside Vidhya Krishnamoorthy, 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 Vidhya Krishnamoorthy Line = papers co-authored together Vidhya Krishnamoorthy links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2005496
2 2012141
3 2011123
4 200499
5 200381
6 200574
7 200869
8 201825
9 201824
10 20189
11 20242

About Vidhya Krishnamoorthy

Vidhya Krishnamoorthy is a scholar working on Molecular Biology, Immunology, Genetics, Biotechnology and Infectious Diseases, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Plant tissue culture and regeneration (4 papers), Nuclear Structure and Function (3 papers), Genomics and Chromatin Dynamics (3 papers), Bacterial Genetics and Biotechnology (2 papers), Transgenic Plants and Applications (2 papers), RNA Research and Splicing (2 papers) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Endocrinology (298 citations), Molecular Medicine (179 citations), Infectious Diseases (237 citations), Genetics (341 citations) and Parasitology (64 citations). Vidhya Krishnamoorthy has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Simon J. Jakubowski, Peter J. Christie, Eric Cascalès, Krishnamohan Atmakuri, Eric J. Rubin, Veena K. Parnaik, Richa Khanna, Ravikiran M. Raju, Tatos Akopian and Daniel H. F. Rubin. Their work appears in journals such as Journal of Bacteriology, Molecular Microbiology, PLoS Pathogens, FEBS Journal and Journal of Molecular Biology.

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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