Sanika Vaidya

481 total citations · 1 hit paper
7 papers, 248 citations indexed

About

Sanika Vaidya is a scholar working on Molecular Biology, Ecology and Biophysics. According to data from OpenAlex, Sanika Vaidya has authored 7 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Ecology and 2 papers in Biophysics. Recurrent topics in Sanika Vaidya's work include Bacterial biofilms and quorum sensing (4 papers), Microbial Community Ecology and Physiology (3 papers) and Cell Image Analysis Techniques (2 papers). Sanika Vaidya is often cited by papers focused on Bacterial biofilms and quorum sensing (4 papers), Microbial Community Ecology and Physiology (3 papers) and Cell Image Analysis Techniques (2 papers). Sanika Vaidya collaborates with scholars based in United States, Switzerland and Germany. Sanika Vaidya's co-authors include Eric Jelli, Knut Drescher, Hannah Jeckel, Francisco Díaz-Pascual, Daniel K.H. Rode, Victor Sourjik, Olga Lamprecht, Praveen K. Singh, Lucia Vidakovic and Susanne Häußler and has published in prestigious journals such as PLoS Biology, Science Advances and Nature Microbiology.

In The Last Decade

Sanika Vaidya

7 papers receiving 247 citations

Hit Papers

Quantitative image analysis of microbial communities with... 2021 2026 2022 2024 2021 50 100 150

Peers

Sanika Vaidya
Comparison fields: 5 of 75
  • Molecular Biology 140
  • Ecology 51
  • Endocrinology 36
  • Biomedical Engineering 35
  • Biophysics 26
Replace Daniel K.H. Rode with:
Daniel K.H. Rode Switzerland
Niklas Netter Switzerland
Olga Lamprecht Switzerland
Bernard Beckerman United States
Jan Zarzycki‐Siek United States
Janne G. Thöming Germany
William Cole Cornell United States
Sudarsan Mugunthan Australia
Bryan A. Stubblefield United States
Su Chuen Chew Singapore
Daniel K.H. Rode Switzerland View profile →
Citations per field, relative to Sanika Vaidya
Sanika Vaidya · 1×
Citations per year, relative to Sanika Vaidya
Sanika Vaidya · 1×

Countries citing papers authored by Sanika Vaidya

Since Specialization
Citations

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

Fields of papers citing papers by Sanika Vaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanika Vaidya

This figure shows the co-authorship network connecting the top 25 collaborators of Sanika Vaidya. A scholar is included among the top collaborators of Sanika Vaidya 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 Sanika Vaidya. Sanika Vaidya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
# Work Indexed citations
1 15
2 2
3 14
4 11
5 5
6
Quantitative image analysis of microbial communities with BiofilmQ breakdown →
194
7 7

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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