Poonam Piplani
- Organic Chemistry top 10%
- Pharmacology top 5%
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Physiology
- Co-authors
- Anuradha SharmaDharam Paul JindalS.K. SinglaAnkit JainSonal DubeyRaghuram Rao AkkinepallyRuchi MalikPran Kishore Deb
- Topics
- Computational Drug Discovery Methods (28 papers)Cholinesterase and Neurodegenerative Diseases (25 papers)Synthesis and biological activity (17 papers)
- Journals
- European Journal of Medicinal ChemistryCurrent Medicinal ChemistryBioorganic & Medicinal Chemistry
- Partner nations
- IndiaSwitzerlandUnited Kingdom
In The Last Decade
Poonam Piplani
59 papers receiving 565 citations
Peers
Comparison fields: 5 of 86
- Organic Chemistry 283
- Pharmacology 210
- Molecular Biology 169
- Computational Theory and Mathematics 145
- Physiology 49
Countries citing papers authored by Poonam Piplani
This map shows the geographic impact of Poonam Piplani'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 Poonam Piplani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Poonam Piplani more than expected).
Fields of papers citing papers by Poonam Piplani
This network shows the impact of papers produced by Poonam Piplani. 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 Poonam Piplani. The network helps show where Poonam Piplani may publish in the future.
Co-authorship network of co-authors of Poonam Piplani
This figure shows the co-authorship network connecting the top 25 collaborators of Poonam Piplani. A scholar is included among the top collaborators of Poonam Piplani 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 Poonam Piplani. Poonam Piplani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 9 | |
| 6 | 12 | |
| 7 | 20 | |
| 8 | 3 | |
| 9 | 63 | |
| 10 | 27 | |
| 11 | 35 | |
| 12 | 23 | |
| 13 | 3 | |
| 14 | 34 | |
| 15 | Synthesis and QSAR studies of 16-(3-methoxy-4-substituted benzylidene) androstene derivatives as anticancer agents | 1 |
| 16 | 21 | |
| 17 | Synthesis and antineoplastic activity of some 16- benzylidene substituted steroidal oximes | 5 |
| 18 | 2-Naphthyloxy Derivatives Of N,N-Substituted Acetamides : Synthesis And Pharmacological Evaluation | 3 |
| 19 | 11 | |
| 20 | 14 |
About Poonam Piplani
Poonam Piplani is a scholar working on Computational Theory and Mathematics, Pharmacology and Complementary and alternative medicine, having authored 65 papers that have together received 583 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (28 papers), Cholinesterase and Neurodegenerative Diseases (25 papers) and Synthesis and biological activity (17 papers). The work is most often cited by research in Pharmacology (210 citations), Organic Chemistry (283 citations) and Computational Theory and Mathematics (145 citations). Poonam Piplani has collaborated with scholars based in India, Switzerland and United Kingdom. Frequent co-authors include Anuradha Sharma, Dharam Paul Jindal, S.K. Singla, Ankit Jain, Sonal Dubey, Raghuram Rao Akkinepally, Ruchi Malik, Pran Kishore Deb, Ankit Jain and Priyanka Priyanka. Their work appears in journals such as European Journal of Medicinal Chemistry, Current Medicinal Chemistry and Bioorganic & Medicinal Chemistry.
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.