Sandeep Singh
- Molecular Biology top 2%
- Microbiology top 0.5%
- Computational Theory and Mathematics top 1%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Gajendra P. S. RaghavaAnkur GautamKumardeep ChaudharySalman Sadullah UsmaniDeepika MathurAbhishek TuknaitPiyush AgrawalPriya Anand
- Topics
- RNA modifications and cancer (12 papers)RNA Research and Splicing (12 papers)vaccines and immunoinformatics approaches (9 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- IndiaUnited StatesChina
In The Last Decade
Sandeep Singh
46 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Molecular Biology 2.6k
- Microbiology 861
- Computational Theory and Mathematics 401
- Immunology 262
- Radiology, Nuclear Medicine and Imaging 225
Countries citing papers authored by Sandeep Singh
This map shows the geographic impact of Sandeep Singh'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 Sandeep Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Singh more than expected).
Fields of papers citing papers by Sandeep Singh
This network shows the impact of papers produced by Sandeep Singh. 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 Sandeep Singh. The network helps show where Sandeep Singh may publish in the future.
Co-authorship network of co-authors of Sandeep Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Singh. A scholar is included among the top collaborators of Sandeep Singh 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 Sandeep Singh. Sandeep Singh 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 | 21 | |
| 3 | 4 | |
| 4 | 17 | |
| 5 | 15 | |
| 6 | 18 | |
| 7 | 55 | |
| 8 | 10 | |
| 9 | 27 | |
| 10 | 86 | |
| 11 | 221 | |
| 12 | 121 | |
| 13 | 37 | |
| 14 | 178 | |
| 15 | 169 | |
| 16 | 68 | |
| 17 | 259 | |
| 18 | 15 | |
| 19 | 171 | |
| 20 | 123 |
About Sandeep Singh
Sandeep Singh is a scholar working on Microbiology, Cancer Research and Molecular Biology, having authored 49 papers that have together received 3.0k indexed citations. Recurring topics across this work include RNA modifications and cancer (12 papers), RNA Research and Splicing (12 papers) and vaccines and immunoinformatics approaches (9 papers). The work is most often cited by research in Microbiology (861 citations), Molecular Biology (2.6k citations) and Computational Theory and Mathematics (401 citations). Sandeep Singh has collaborated with scholars based in India, United States and China. Frequent co-authors include Gajendra P. S. Raghava, Ankur Gautam, Kumardeep Chaudhary, Salman Sadullah Usmani, Deepika Mathur, Abhishek Tuknait, Piyush Agrawal, Priya Anand, Harinder Singh and Meenu Sharma. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.