Kanipakam Hema

22 papers and 334 indexed citations i.

About

Kanipakam Hema is a scholar working on Molecular Biology, Computational Theory and Mathematics and Infectious Diseases. According to data from OpenAlex, Kanipakam Hema has authored 22 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Infectious Diseases. Recurrent topics in Kanipakam Hema’s work include Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Kanipakam Hema is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Protein Structure and Dynamics (6 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). Kanipakam Hema collaborates with scholars based in India and United States. Kanipakam Hema's co-authors include Dinesh Gupta, Shahzaib Ahamad, Amineni Umamaheswari, Vijay Kumar, Pradeep Natarajan, Sudheer Kumar Katari, Manne Munikumar, Shweta Birla, K. Bharathi and D. Sujatha and has published in prestigious journals such as European Journal of Pharmacology, RSC Advances and International Journal of Environmental Research and Public Health.

In The Last Decade

Co-authorship network of co-authors of Kanipakam Hema i

Fields of papers citing papers by Kanipakam Hema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kanipakam Hema

Since Specialization
Citations

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