Prabha Garg

95 papers and 1.4k indexed citations i.

About

Prabha Garg is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Prabha Garg has authored 95 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 36 papers in Computational Theory and Mathematics and 13 papers in Organic Chemistry. Recurrent topics in Prabha Garg’s work include Computational Drug Discovery Methods (36 papers), Biochemical and Molecular Research (10 papers) and Cholinesterase and Neurodegenerative Diseases (9 papers). Prabha Garg is often cited by papers focused on Computational Drug Discovery Methods (36 papers), Biochemical and Molecular Research (10 papers) and Cholinesterase and Neurodegenerative Diseases (9 papers). Prabha Garg collaborates with scholars based in India, Sweden and United States. Prabha Garg's co-authors include Rajender Kumar, Jitender Verma, Pawan Gupta, Nilanjan Roy, Mahesh C. Sharma, Prasad V. Bharatam, Inder Pal Singh, Hardeep Sandhu, Thomas A. Kunkel and Scott McCulloch and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physical Chemistry B and Bioresource Technology.

In The Last Decade

Co-authorship network of co-authors of Prabha Garg i

Fields of papers citing papers by Prabha Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Prabha Garg

Since Specialization
Citations

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

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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2025