Megha Pandey
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Infectious Diseases
- Media Technology top 10%
- Molecular Biology
- Co-authors
- Svetlana LazebnikKuldeep DhamaRuchi TiwariRekha KhandiaArash VahdatScott McCloskeySangmin OhHossein Hajimirsadeghi
- Topics
- SARS-CoV-2 and COVID-19 Research (7 papers)RNA and protein synthesis mechanisms (7 papers)RNA modifications and cancer (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Biological MacromoleculesVaccine
- Partner nations
- IndiaSaudi ArabiaRussia
In The Last Decade
Megha Pandey
33 papers receiving 437 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 292
- Artificial Intelligence 84
- Infectious Diseases 62
- Media Technology 48
- Molecular Biology 45
Countries citing papers authored by Megha Pandey
This map shows the geographic impact of Megha Pandey'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 Megha Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megha Pandey more than expected).
Fields of papers citing papers by Megha Pandey
This network shows the impact of papers produced by Megha Pandey. 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 Megha Pandey. The network helps show where Megha Pandey may publish in the future.
Co-authorship network of co-authors of Megha Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Megha Pandey. A scholar is included among the top collaborators of Megha Pandey 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 Megha Pandey. Megha Pandey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 27 | |
| 16 | 1 | |
| 17 | 0 | |
| 18 | Study of conventional and non-conventional organic sources and industrial by-products for yield maximization and yield attributes of radish in alluvial soil | 0 |
| 19 | 4 | |
| 20 | 2 |
About Megha Pandey
Megha Pandey is a scholar working on Infectious Diseases, Virology and Animal Science and Zoology, having authored 39 papers that have together received 446 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), RNA and protein synthesis mechanisms (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Media Technology (48 citations) and Virology (19 citations). Megha Pandey has collaborated with scholars based in India, Saudi Arabia and Russia. Frequent co-authors include Svetlana Lazebnik, Kuldeep Dhama, Ruchi Tiwari, Rekha Khandia, Arash Vahdat, Scott McCloskey, Sangmin Oh, Hossein Hajimirsadeghi, Greg Mori and A. G. Amitha Perera. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Biological Macromolecules and Vaccine.
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.