Prabhakar R. Gudla

30 papers and 884 indexed citations i.

About

Prabhakar R. Gudla is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Prabhakar R. Gudla has authored 30 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Biophysics and 5 papers in Artificial Intelligence. Recurrent topics in Prabhakar R. Gudla’s work include Cell Image Analysis Techniques (10 papers), Genomics and Chromatin Dynamics (8 papers) and Gene expression and cancer classification (7 papers). Prabhakar R. Gudla is often cited by papers focused on Cell Image Analysis Techniques (10 papers), Genomics and Chromatin Dynamics (8 papers) and Gene expression and cancer classification (7 papers). Prabhakar R. Gudla collaborates with scholars based in United States, Japan and Iran. Prabhakar R. Gudla's co-authors include Tom Misteli, Stephen Lockett, Karen J. Meaburn, Gianluca Pegoraro, Takumi Takizawa, Liying Guo, Sameena Khan, Tom Misteli, George Zaki and Murali Palangat and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Prabhakar R. Gudla i

Fields of papers citing papers by Prabhakar R. Gudla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prabhakar R. Gudla. 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 Prabhakar R. Gudla. The network helps show where Prabhakar R. Gudla may publish in the future.

Countries citing papers authored by Prabhakar R. Gudla

Since Specialization
Citations

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