Poonam Piplani

108 total papers · 747 total citations
65 papers, 579 citations indexed

About

Poonam Piplani is a scholar working on Organic Chemistry, Pharmacology and Computational Theory and Mathematics. According to data from OpenAlex, Poonam Piplani has authored 65 papers receiving a total of 579 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Organic Chemistry, 29 papers in Pharmacology and 28 papers in Computational Theory and Mathematics. Recurrent topics in Poonam Piplani's work include Computational Drug Discovery Methods (28 papers), Cholinesterase and Neurodegenerative Diseases (25 papers) and Synthesis and biological activity (17 papers). Poonam Piplani is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Cholinesterase and Neurodegenerative Diseases (25 papers) and Synthesis and biological activity (17 papers). Poonam Piplani collaborates with scholars based in India, Switzerland and United Kingdom. Poonam Piplani's co-authors include Anuradha Sharma, Dharam Paul Jindal, Ankit Jain, S.K. Singla, Sonal Dubey, Raghuram Rao Akkinepally, Pran Kishore Deb, Ruchi Malik, Ankit Jain and Ian Marshall and has published in prestigious journals such as European Journal of Medicinal Chemistry, Current Medicinal Chemistry and Bioorganic & Medicinal Chemistry.

In The Last Decade

Poonam Piplani

59 papers receiving 561 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Poonam Piplani 282 210 168 143 49 65 579
Pankaj Pandey 143 0.5× 228 1.1× 314 1.9× 107 0.7× 41 0.8× 64 685
Pedro de Sena Murteira Pinheiro 303 1.1× 151 0.7× 274 1.6× 135 0.9× 52 1.1× 29 645
Yuanying Fang 233 0.8× 154 0.7× 278 1.7× 89 0.6× 46 0.9× 53 649
Gopichand Gutti 181 0.6× 235 1.1× 209 1.2× 215 1.5× 80 1.6× 24 586
Deane M. Nason 236 0.8× 186 0.9× 228 1.4× 92 0.6× 61 1.2× 19 562
Kamila Czarnecka 157 0.6× 169 0.8× 139 0.8× 145 1.0× 94 1.9× 36 529
Mariyana Atanasova 223 0.8× 226 1.1× 239 1.4× 175 1.2× 108 2.2× 48 624
Jaime Mella 341 1.2× 123 0.6× 262 1.6× 144 1.0× 15 0.3× 57 662
Luiz Antônio Soares Romeiro 175 0.6× 223 1.1× 196 1.2× 144 1.0× 61 1.2× 43 647
Nibha Mishra 140 0.5× 81 0.4× 200 1.2× 78 0.5× 48 1.0× 32 569

Countries citing papers authored by Poonam Piplani

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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