Monikaben Padariya
- Molecular Biology
- Infectious Diseases
- Oncology
- Computational Theory and Mathematics top 10%
- Immunology
- Co-authors
- Umesh KalathiyaMaciej BagińskiTed R. HuppRobin FåhræusJavier A. AlfaroJudith NicholsonAlison DanielsKathryn L. Ball
- Topics
- RNA and protein synthesis mechanisms (9 papers)SARS-CoV-2 and COVID-19 Research (6 papers)HIV Research and Treatment (6 papers)
- Journals
- Scientific ReportsInternational Journal of Molecular SciencesChemistry - A European Journal
- Partner nations
- PolandUnited KingdomCzechia
In The Last Decade
Monikaben Padariya
30 papers receiving 329 citations
Peers
Comparison fields: 5 of 83
- Molecular Biology 179
- Infectious Diseases 92
- Oncology 51
- Computational Theory and Mathematics 49
- Immunology 47
Countries citing papers authored by Monikaben Padariya
This map shows the geographic impact of Monikaben Padariya'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 Monikaben Padariya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Monikaben Padariya more than expected).
Fields of papers citing papers by Monikaben Padariya
This network shows the impact of papers produced by Monikaben Padariya. 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 Monikaben Padariya. The network helps show where Monikaben Padariya may publish in the future.
Co-authorship network of co-authors of Monikaben Padariya
This figure shows the co-authorship network connecting the top 25 collaborators of Monikaben Padariya. A scholar is included among the top collaborators of Monikaben Padariya 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 Monikaben Padariya. Monikaben Padariya 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 | 2 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 23 | |
| 11 | 10 | |
| 12 | 31 | |
| 13 | 10 | |
| 14 | 5 | |
| 15 | 23 | |
| 16 | 0 | |
| 17 | 8 | |
| 18 | Docking simulations, Molecular properties and ADMET studies of novel Chromane6,7diol analogues as potential inhibitors of Mushroom tyrosinase | 6 |
| 19 | 12 | |
| 20 | 1 |
About Monikaben Padariya
Monikaben Padariya is a scholar working on Virology, Aging and Infectious Diseases, having authored 37 papers that have together received 332 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (9 papers), SARS-CoV-2 and COVID-19 Research (6 papers) and HIV Research and Treatment (6 papers). The work is most often cited by research in Drug Discovery (1 citation), Infectious Diseases (92 citations) and Aging (6 citations). Monikaben Padariya has collaborated with scholars based in Poland, United Kingdom and Czechia. Frequent co-authors include Umesh Kalathiya, Maciej Bagiński, Ted R. Hupp, Robin Fåhræus, Javier A. Alfaro, Judith Nicholson, Alison Daniels, Kathryn L. Ball, Soumyananda Chakraborti and A. Jonathan Singh. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Chemistry - A European Journal.
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.