Ravina Khandelwal

23 total papers · 418 total citations
15 papers, 253 citations indexed

About

Ravina Khandelwal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pathology and Forensic Medicine. According to data from OpenAlex, Ravina Khandelwal has authored 15 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Ravina Khandelwal's work include Computational Drug Discovery Methods (6 papers), Lung Cancer Treatments and Mutations (3 papers) and Synthesis and biological activity (3 papers). Ravina Khandelwal is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Lung Cancer Treatments and Mutations (3 papers) and Synthesis and biological activity (3 papers). Ravina Khandelwal collaborates with scholars based in India, Saudi Arabia and United States. Ravina Khandelwal's co-authors include Sanjeev Kumar Singh, Anuraj Nayarisseri, Diksha Sharma, Tajamul Hussain, Alejandro Speck‐Planche, Khushboo Sharma, Sugunakar Vuree, Umesh Panwar, Chandrabose Selvaraj and Anjana Munshi and has published in prestigious journals such as Current Topics in Medicinal Chemistry, Current Drug Targets and Journal of Molecular Modeling.

In The Last Decade

Ravina Khandelwal

14 papers receiving 251 citations

Author Peers

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

Author Last Decade Papers Cites
Ravina Khandelwal 135 121 44 34 31 15 253
Serena Dotolo 130 1.0× 118 1.0× 55 1.3× 7 0.2× 47 1.5× 13 284
Sarita Montaño 167 1.2× 30 0.2× 40 0.9× 12 0.4× 26 0.8× 28 324
Alaa A. Osman 60 0.4× 24 0.2× 37 0.8× 13 0.4× 18 0.6× 13 158
Francis E. Agamah 168 1.2× 120 1.0× 39 0.9× 7 0.2× 19 0.6× 11 329
Jyotsna Bhat 198 1.5× 62 0.5× 30 0.7× 10 0.3× 42 1.4× 16 318
Christian T. Meyer 183 1.4× 87 0.7× 17 0.4× 11 0.3× 60 1.9× 17 329
Sahar Qazi 118 0.9× 81 0.7× 35 0.8× 5 0.1× 22 0.7× 23 252
Ariel Berenstein 141 1.0× 36 0.3× 36 0.8× 16 0.5× 41 1.3× 20 286
Palak K. Parikh 155 1.1× 23 0.2× 56 1.3× 42 1.2× 36 1.2× 23 329
Meng Zhang 155 1.1× 23 0.2× 15 0.3× 9 0.3× 110 3.5× 19 284

Countries citing papers authored by Ravina Khandelwal

Since Specialization
Citations

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

Fields of papers citing papers by Ravina Khandelwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravina Khandelwal

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