Puneet Dhamija

98 total papers · 1.4k total citations
50 papers, 686 citations indexed

About

Puneet Dhamija is a scholar working on Infectious Diseases, Molecular Biology and Surgery. According to data from OpenAlex, Puneet Dhamija has authored 50 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 9 papers in Molecular Biology and 6 papers in Surgery. Recurrent topics in Puneet Dhamija's work include SARS-CoV-2 and COVID-19 Research (9 papers), Computational Drug Discovery Methods (6 papers) and Pharmacovigilance and Adverse Drug Reactions (6 papers). Puneet Dhamija is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), Computational Drug Discovery Methods (6 papers) and Pharmacovigilance and Adverse Drug Reactions (6 papers). Puneet Dhamija collaborates with scholars based in India, Saudi Arabia and United States. Puneet Dhamija's co-authors include Rohitash Yadav, Shailendra Handu, Pankaj Kumar Chaudhary, Jitendra Kumar Chaudhary, Ashish Kumar, Neeraj Jain, Ambika Sharma, Mohammed Imran, Amitava Chakrabarti and Debasish Hota and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Liquids and British Journal of Clinical Pharmacology.

In The Last Decade

Puneet Dhamija

42 papers receiving 662 citations

Hit Papers

Role of Structural and No... 2021 2026 2022 2024 2021 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Puneet Dhamija 302 170 146 63 58 50 686
Amgad M. Rabie 234 0.8× 198 1.2× 157 1.1× 40 0.6× 143 2.5× 28 589
Jonaid Ahmad Malik 268 0.9× 261 1.5× 57 0.4× 66 1.0× 37 0.6× 39 770
Amit Kumar Singh 212 0.7× 233 1.4× 272 1.9× 38 0.6× 91 1.6× 39 585
Ashish Kumar 216 0.7× 164 1.0× 78 0.5× 59 0.9× 31 0.5× 44 583
Rebecca Mary Peter 288 1.0× 278 1.6× 62 0.4× 28 0.4× 40 0.7× 19 698
Madhu Cholenahalli Lingaraju 212 0.7× 298 1.8× 128 0.9× 77 1.2× 41 0.7× 24 693
Rubén Gil‐Redondo 162 0.5× 417 2.5× 62 0.4× 31 0.5× 45 0.8× 29 643
Alaa H. M. Abdelrahman 205 0.7× 225 1.3× 384 2.6× 28 0.4× 157 2.7× 33 711
Mohammed Kanan Alshammari 169 0.6× 192 1.1× 52 0.4× 24 0.4× 48 0.8× 55 626
Mukhtar Ansari 162 0.5× 87 0.5× 45 0.3× 14 0.2× 60 1.0× 61 682

Countries citing papers authored by Puneet Dhamija

Since Specialization
Citations

This map shows the geographic impact of Puneet Dhamija'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 Puneet Dhamija with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Puneet Dhamija more than expected).

Fields of papers citing papers by Puneet Dhamija

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Puneet Dhamija. 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 Puneet Dhamija. The network helps show where Puneet Dhamija may publish in the future.

Co-authorship network of co-authors of Puneet Dhamija

This figure shows the co-authorship network connecting the top 25 collaborators of Puneet Dhamija. A scholar is included among the top collaborators of Puneet Dhamija 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 Puneet Dhamija. Puneet Dhamija 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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