Neha Vithani

1.3k total citations · 1 hit paper
16 papers, 721 citations indexed

About

Neha Vithani is a scholar working on Molecular Biology, Materials Chemistry and Infectious Diseases. According to data from OpenAlex, Neha Vithani has authored 16 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Infectious Diseases. Recurrent topics in Neha Vithani's work include Enzyme Structure and Function (5 papers), Biochemical and Molecular Research (4 papers) and Bacteriophages and microbial interactions (3 papers). Neha Vithani is often cited by papers focused on Enzyme Structure and Function (5 papers), Biochemical and Molecular Research (4 papers) and Bacteriophages and microbial interactions (3 papers). Neha Vithani collaborates with scholars based in India, United States and Russia. Neha Vithani's co-authors include Sukrit Singh, Gregory R. Bowman, Michael D. Ward, Maxwell I. Zimmerman, Andrea Soranno, Melissa D. Stuchell‐Brereton, Jasmine Cubuk, Alex S. Holehouse, Kathleen B. Hall and Jhullian J. Alston and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Neha Vithani

15 papers receiving 719 citations

Hit Papers

The SARS-CoV-2 nucleocapsid protein is dynamic, disordere... 2021 2026 2022 2024 2021 100 200 300

Peers

Neha Vithani
Comparison fields: 5 of 87
  • Molecular Biology 456
  • Infectious Diseases 338
  • Ecology 87
  • Computational Theory and Mathematics 79
  • Materials Chemistry 69
Replace Sukrit Singh with:
Sukrit Singh United States
Emília P. Barros Switzerland
Firdaus Samsudin United Kingdom
Alison Berezuk Canada
Carl A. Fogarty Ireland
Shanti Swaroop Srivastava India
Aoife M. Harbison Ireland
Zhaoxia Huang China
Brandon Malone United States
Parismita Kalita India
Sukrit Singh United States View profile →
Citations per field, relative to Neha Vithani
Neha Vithani · 1×
Citations per year, relative to Neha Vithani
Neha Vithani · 1×

Countries citing papers authored by Neha Vithani

Since Specialization
Citations

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

Fields of papers citing papers by Neha Vithani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Vithani

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

All Works

16 of 16 papers shown
# Work Indexed citations
1 0
2 4
3 9
4 3
5 56
6 167
7
The SARS-CoV-2 nucleocapsid protein is dynamic, disordered, and phase separates with RNA breakdown →
365
8 3
9 6
10 11
11 19
12 10
13 3
14 27
15 13
16 25

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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2026