Abhimanyu K. Singh
- Organic Chemistry top 10%
- Molecular Biology
- Infectious Diseases
- Genetics
- Computational Theory and Mathematics top 10%
- Co-authors
- Mohamed Jawed AhsanHabibullah KhalilullahJeyabalan Govinda SamyPankaj SaraswatKalyan DasMark J. van RaaijMohamed Ashraf AliRaju Suresh Kumar
- Topics
- Virus-based gene therapy research (7 papers)Viral gastroenteritis research and epidemiology (6 papers)HIV/AIDS drug development and treatment (4 papers)
In The Last Decade
Abhimanyu K. Singh
31 papers receiving 447 citations
Peers
Comparison fields: 5 of 88
- Organic Chemistry 209
- Molecular Biology 152
- Infectious Diseases 88
- Genetics 65
- Computational Theory and Mathematics 46
Countries citing papers authored by Abhimanyu K. Singh
This map shows the geographic impact of Abhimanyu K. 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 Abhimanyu K. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhimanyu K. Singh more than expected).
Fields of papers citing papers by Abhimanyu K. Singh
This network shows the impact of papers produced by Abhimanyu K. 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 Abhimanyu K. Singh. The network helps show where Abhimanyu K. Singh may publish in the future.
Co-authorship network of co-authors of Abhimanyu K. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Abhimanyu K. Singh. A scholar is included among the top collaborators of Abhimanyu K. 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 Abhimanyu K. Singh. Abhimanyu K. 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 | 2 | |
| 3 | 9 | |
| 4 | 23 | |
| 5 | 7 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 6 | |
| 10 | 15 | |
| 11 | 13 | |
| 12 | Effects of Sub-culturing on In Vitro Shoot Multiplication in Banana Cultivar “Grand Naine” | 0 |
| 13 | 24 | |
| 14 | Bayesian Reliability Estimation of Inverted Exponential Distribution under Progressive Type-II Censored Data | 3 |
| 15 | 7 | |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 170 | |
| 19 | In vitro calli-clone regeneration to enhance qualitative variability in essential oil of a wild Cymbopogon species. | 1 |
| 20 | Cultivation, chemistry, biology and utilization of bach (Acorus calamus) : a review. | 1 |
About Abhimanyu K. Singh
Abhimanyu K. Singh is a scholar working on Virology, Infectious Diseases and Genetics, having authored 35 papers that have together received 456 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), Viral gastroenteritis research and epidemiology (6 papers) and HIV/AIDS drug development and treatment (4 papers). The work is most often cited by research in Organic Chemistry (209 citations), Virology (27 citations) and Infectious Diseases (88 citations). Abhimanyu K. Singh has collaborated with scholars based in India, Spain and Belgium. Frequent co-authors include Mohamed Jawed Ahsan, Habibullah Khalilullah, Jeyabalan Govinda Samy, Pankaj Saraswat, Kalyan Das, Mark J. van Raaij, Mohamed Ashraf Ali, Raju Suresh Kumar, Karthikeyan Elumalai and Carmen San Martı́n. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.
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.