Shruthi VijayKumar

470 citations
5 papers · 120 · h-index 3

Impact in

  • Biophysics top 5%
    • Advanced Fluorescence Microscopy Techniques
    • Cell Image Analysis Techniques
    • Advanced Electron Microscopy Techniques and Applications

Papers in

    • Single-cell and spatial transcriptomics 2
    • Congenital heart defects research 1
    • Fungal and yeast genetics research 1
    • Advanced Fluorescence Microscopy Techniques 2
    • Cell Image Analysis Techniques 2

Shruthi VijayKumar

4 papers receiving 116 citations

Peers

Shruthi VijayKumar
Comparison fields: 5 of 43
  • Biophysics 64
  • Structural Biology 10
  • Computational Mathematics 1
  • Cell Biology 18
  • Acoustics and Ultrasonics 1
Replace Greta M. Bauer with:
Greta M. Bauer United States
Quan Meng China
Nicholas B. Evans United States
Jordão Bragantini Brazil
Martina Schaettin Switzerland
F. R. Grull Germany
Paul Hernández‐Herrera Mexico
Marc Oeller United Kingdom
Artur Speiser Germany
Glen Beane United States
Shruthi VijayKumar relative to Greta M. Bauer United States Greta M. Bauer's profile →
Citations per field
00.5×2.6×
Greta M. Bauer · 1×
Citations per year

Countries citing papers authored by Shruthi VijayKumar

Since Specialization
Citations

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

Fields of papers citing papers by Shruthi VijayKumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 202279
2 201627
3 201712
4 20252
5 20240

About Shruthi VijayKumar

Shruthi VijayKumar is a scholar working on Molecular Biology, Biophysics, Cellular and Molecular Neuroscience, Media Technology and Cell Biology, having authored 5 papers that have together received 120 indexed citations. Recurring topics across this work include Advanced Fluorescence Microscopy Techniques (2 papers), Cell Image Analysis Techniques (2 papers), Single-cell and spatial transcriptomics (2 papers), Biofuel production and bioconversion (1 paper), Genetic Neurodegenerative Diseases (1 paper), Zebrafish Biomedical Research Applications (1 paper), Congenital heart defects research (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Biophysics (64 citations), Structural Biology (10 citations), Computational Mathematics (1 citation), Cell Biology (18 citations) and Acoustics and Ultrasonics (1 citation). Shruthi VijayKumar has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Reto Fiolka, Thomas B. Kornberg, Löıc A. Royer, Xiang Zhao, Jordão Bragantini, Lachlan Whitehead, Hirofumi Kobayashi, Andrew G. York, Alfred Millett-Sikking and Wanpeng Wang. Their work appears in journals such as Nature Methods, Nucleic Acids Research, PLoS Genetics and MethodsX.

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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