Ankush Garg

19 papers and 466 indexed citations i.

About

Ankush Garg is a scholar working on Molecular Biology, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Ankush Garg has authored 19 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Materials Chemistry. Recurrent topics in Ankush Garg’s work include RNA Research and Splicing (4 papers), Topic Modeling (3 papers) and Neural Networks and Applications (2 papers). Ankush Garg is often cited by papers focused on RNA Research and Splicing (4 papers), Topic Modeling (3 papers) and Neural Networks and Applications (2 papers). Ankush Garg collaborates with scholars based in India, Canada and United States. Ankush Garg's co-authors include Caroline Badouel, Helen McNeill, Prantik Bhattacharyya, Shyhtsun Felix Wu, Nancy Amin, Thierry Le Bihan, Laura Gardano, Sharmistha Sinha, Mayank Agarwal and Harpreet Kaur and has published in prestigious journals such as Genetics, ACS Catalysis and Biophysical Journal.

In The Last Decade

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

Fields of papers citing papers by Ankush Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ankush Garg

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025