Aditi Singh
- Molecular Biology top 10%
- Epidemiology top 10%
- Infectious Diseases top 5%
- Computational Theory and Mathematics top 5%
- Cell Biology
- Co-authors
- Abhinav GroverSukriti GoyalSalma JamalSonam GroverSharad VermaPallavi SomvanshiChetna TyagiAnchala Kumari
- Topics
- Computational Drug Discovery Methods (12 papers)Tuberculosis Research and Epidemiology (10 papers)Cancer therapeutics and mechanisms (9 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Aditi Singh
74 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 787
- Epidemiology 296
- Infectious Diseases 273
- Computational Theory and Mathematics 146
- Cell Biology 96
Countries citing papers authored by Aditi Singh
This map shows the geographic impact of Aditi 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 Aditi Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditi Singh more than expected).
Fields of papers citing papers by Aditi Singh
This network shows the impact of papers produced by Aditi 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 Aditi Singh. The network helps show where Aditi Singh may publish in the future.
Co-authorship network of co-authors of Aditi Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Singh. A scholar is included among the top collaborators of Aditi 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 Aditi Singh. Aditi 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 | 5 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 21 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 30 | |
| 17 | 11 | |
| 18 | 14 | |
| 19 | 77 | |
| 20 | 7 |
About Aditi Singh
Aditi Singh is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics, having authored 86 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Tuberculosis Research and Epidemiology (10 papers) and Cancer therapeutics and mechanisms (9 papers). The work is most often cited by research in Infectious Diseases (273 citations), Molecular Medicine (59 citations) and Molecular Biology (787 citations). Aditi Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Abhinav Grover, Sukriti Goyal, Salma Jamal, Sonam Grover, Sharad Verma, Pallavi Somvanshi, Chetna Tyagi, Anchala Kumari, Christine Clayton and Abeer Fadda. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and Journal of Neuroscience.
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.