Preeti Pandey
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Infectious Diseases top 10%
- Food Science top 10%
- Organic Chemistry
- Co-authors
- Amresh PrakashJitendra Subhash RaneAroni ChatterjeeRajni KhanAbhijeet KumarShashikant RayVijay KumarGaurav Tiwari
- Topics
- Protein Structure and Dynamics (6 papers)Computational Drug Discovery Methods (6 papers)Enzyme Structure and Function (5 papers)
- Cited by
- Computational Theory and MathematicsInfectious DiseasesComplementary and alternative medicine
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Physical Chemistry B
- Partner nations
- IndiaUnited StatesUnited Arab Emirates
In The Last Decade
Preeti Pandey
40 papers receiving 764 citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 325
- Computational Theory and Mathematics 184
- Infectious Diseases 182
- Food Science 76
- Organic Chemistry 63
Countries citing papers authored by Preeti Pandey
This map shows the geographic impact of Preeti 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 Preeti Pandey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preeti Pandey more than expected).
Fields of papers citing papers by Preeti Pandey
This network shows the impact of papers produced by Preeti 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 Preeti Pandey. The network helps show where Preeti Pandey may publish in the future.
Co-authorship network of co-authors of Preeti Pandey
This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Pandey. A scholar is included among the top collaborators of Preeti 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 Preeti Pandey. Preeti 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 | 6 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 87 | |
| 7 | 195 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | 42 | |
| 11 | 4 | |
| 12 | 21 | |
| 13 | 12 | |
| 14 | 29 | |
| 15 | 8 | |
| 16 | Enhanced LZW technique for medical image compression | 8 |
| 17 | 10 | |
| 18 | Delivery of poorly water soluble drug from swellable elementary osmotic pump and effect of formulation variables | 4 |
| 19 | 5 | |
| 20 | Effect of Heavy metals on Morphological and Biochemical characteristics of Albizia procera (Roxb.) Benth. Seedlings | 32 |
About Preeti Pandey
Preeti Pandey is a scholar working on Computational Theory and Mathematics, Pharmacology and Toxicology, having authored 43 papers that have together received 779 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Computational Theory and Mathematics (184 citations), Infectious Diseases (182 citations) and Complementary and alternative medicine (61 citations). Preeti Pandey has collaborated with scholars based in India, United States and United Arab Emirates. Frequent co-authors include Amresh Prakash, Jitendra Subhash Rane, Aroni Chatterjee, Rajni Khan, Abhijeet Kumar, Shashikant Ray, Vijay Kumar, Gaurav Tiwari, Andrew M. Lynn and Ashutosh Tripathi. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physical Chemistry B.
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.