Shivani Tiwary

8.5k citations
8 papers · 637 indexed · 1 hit paper · h-index 7
Topics
Advanced Proteomics Techniques and Applications (3 papers)Machine Learning in Bioinformatics (2 papers)vaccines and immunoinformatics approaches (1 paper)
Partner nations
GermanyIndiaNorway

In The Last Decade

Shivani Tiwary

8 papers receiving 629 citations

Hit Papers

The nucleolus functions as a phase-separated protein qual...20192026202120232019100200300

Peers

Shivani Tiwary
Comparison fields: 5 of 85
  • Molecular Biology 534
  • Spectroscopy 157
  • Cell Biology 84
  • Oncology 50
  • Immunology 32
Replace Audrey van Drogen with:
Audrey van Drogen Switzerland
Nicole St‐Denis Canada
S. Babak Azimifar Germany
Simon J. Elsaesser Germany
Thomas Breslin Sweden
Danielle G. May United States
Margaret Soucheray United States
Rahul S. Samant United Kingdom
Felix Oppermann Germany
Jonathan Woodsmith Germany
Shivani Tiwary relative to Audrey van Drogen Switzerland Audrey van Drogen's profile →
Citations per field
00.5×1.5×
Audrey van Drogen · 1×
Citations per year

Countries citing papers authored by Shivani Tiwary

Since Specialization
Citations

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

Fields of papers citing papers by Shivani Tiwary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shivani Tiwary

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 10
2 28
3 183
4
The nucleolus functions as a phase-separated protein quality control compartmentbreakdown →
342
5 1
6 34
7 10
8 29

About Shivani Tiwary

Shivani Tiwary is a scholar working on Spectroscopy, Cell Biology and Molecular Biology, having authored 8 papers that have together received 637 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (3 papers), Machine Learning in Bioinformatics (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Spectroscopy (157 citations), Molecular Biology (534 citations) and Aging (9 citations). Shivani Tiwary has collaborated with scholars based in Germany, India and Norway. Frequent co-authors include F. Ulrich Hartl, Mark S. Hipp, Rajat Gupta, Frédéric Frottin, Florian Schueder, Ralf Jungmann, Roman Körner, Thomas Schlichthaerle, Jüergen Cox and Jürgen Cox. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nature Methods.

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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