Neeladri Sen
- Molecular Biology
- Materials Chemistry
- Infectious Diseases
- Computational Theory and Mathematics top 10%
- Spectroscopy
- Co-authors
- Christine OrengoVaishali WamanNicola BordinSu Datt LamIan SillitoeClemens RauerHarry ScholesMahnaz Abbasian
- Topics
- Protein Structure and Dynamics (9 papers)Machine Learning in Bioinformatics (5 papers)Enzyme Structure and Function (5 papers)
- Partner nations
- United KingdomIndiaMalaysia
In The Last Decade
Neeladri Sen
18 papers receiving 659 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 500
- Materials Chemistry 128
- Infectious Diseases 105
- Computational Theory and Mathematics 75
- Spectroscopy 53
Countries citing papers authored by Neeladri Sen
This map shows the geographic impact of Neeladri Sen'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 Neeladri Sen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neeladri Sen more than expected).
Fields of papers citing papers by Neeladri Sen
This network shows the impact of papers produced by Neeladri Sen. 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 Neeladri Sen. The network helps show where Neeladri Sen may publish in the future.
Co-authorship network of co-authors of Neeladri Sen
This figure shows the co-authorship network connecting the top 25 collaborators of Neeladri Sen. A scholar is included among the top collaborators of Neeladri Sen 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 Neeladri Sen. Neeladri Sen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 44 | |
| 6 | 18 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 12 | |
| 11 | 19 | |
| 12 | 80 | |
| 13 | 26 | |
| 14 | CATH: increased structural coverage of functional spacebreakdown → | 280 |
| 15 | 24 | |
| 16 | 9 | |
| 17 | 40 | |
| 18 | 8 | |
| 19 | 47 | |
| 20 | 3 |
About Neeladri Sen
Neeladri Sen is a scholar working on Molecular Biology, Computational Theory and Mathematics and Biophysics, having authored 20 papers that have together received 670 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Molecular Biology (500 citations), Infectious Diseases (105 citations) and Computational Theory and Mathematics (75 citations). Neeladri Sen has collaborated with scholars based in United Kingdom, India and Malaysia. Frequent co-authors include Christine Orengo, Vaishali Waman, Nicola Bordin, Su Datt Lam, Ian Sillitoe, Clemens Rauer, Harry Scholes, Mahnaz Abbasian, Camilla Pang and Paul Ashford. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.
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.