Vikram Dalal
Impact in
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- Computational Drug Discovery Methods
- Toxicology top 5%
Papers in
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- RNA and protein synthesis mechanisms 4
- Insect Resistance and Genetics 4
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- Phytoplasmas and Hemiptera pathogens 5
- Co-authors
- Pravindra Kumar (26 shared papers)Poonam Dhankhar (13 shared papers)Neha Singh (4 shared papers)Vishakha Singh (7 shared papers)Shailly Tomar (8 shared papers)Ashwani Kumar Sharma (12 shared papers)Dasantila Golemi‐Kotra (4 shared papers)Seema R. Pathak (3 shared papers)
- Journals
- Journal of Biomolecular Structure and Dynamics (9 papers)Journal of Molecular Graphics and Modelling (5 papers)International Journal of Biological Macromolecules (3 papers)Journal of Structural Biology (2 papers)Molecular Simulation (2 papers)
- Partner nations
- IndiaUnited StatesCanada
In The Last Decade
Vikram Dalal
38 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 97
- Computational Theory and Mathematics 331
- Toxicology 49
- Infectious Diseases 217
- Molecular Biology 684
- Molecular Medicine 39
Countries citing papers authored by Vikram Dalal
This map shows the geographic impact of Vikram Dalal'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 Vikram Dalal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Dalal more than expected).
Fields of papers citing papers by Vikram Dalal
This network shows the impact of papers produced by Vikram Dalal. 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 Vikram Dalal. The network helps show where Vikram Dalal may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Dalal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 101 | |
| 2 | 2021 | 96 | |
| 3 | 2021 | 82 | |
| 4 | 2022 | 77 | |
| 5 | 2020 | 74 | |
| 6 | 2019 | 61 | |
| 7 | 2020 | 43 | |
| 8 | 2022 | 42 | |
| 9 | 2017 | 40 | |
| 10 | 2020 | 39 | |
| 11 | 2019 | 39 | |
| 12 | 2022 | 37 | |
| 13 | 2021 | 36 | |
| 14 | 2022 | 34 | |
| 15 | 2019 | 34 | |
| 16 | 2020 | 31 | |
| 17 | 2021 | 31 | |
| 18 | 2019 | 30 | |
| 19 | 2022 | 29 | |
| 20 | 2020 | 29 |
About Vikram Dalal
Vikram Dalal is a scholar working on Molecular Biology, Plant Science, Infectious Diseases, Computational Theory and Mathematics and Pharmacology, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Phytoplasmas and Hemiptera pathogens (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), RNA and protein synthesis mechanisms (4 papers), Insect Resistance and Genetics (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Tryptophan and brain disorders (3 papers). The work is most often cited by research in Computational Theory and Mathematics (331 citations), Toxicology (49 citations), Infectious Diseases (217 citations), Molecular Biology (684 citations) and Molecular Medicine (39 citations). Vikram Dalal has collaborated with scholars based in India, United States and Canada. Frequent co-authors include Pravindra Kumar, Poonam Dhankhar, Neha Singh, Vishakha Singh, Shailly Tomar, Ashwani Kumar Sharma, Dasantila Golemi‐Kotra, Seema R. Pathak, Nidhi Sharma and Viney Kumar. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Molecular Graphics and Modelling, International Journal of Biological Macromolecules, Journal of Structural Biology and Molecular Simulation.
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.