Sukriti Goyal

81 papers and 1.3k indexed citations i.

About

Sukriti Goyal is a scholar working on Molecular Biology, Computational Theory and Mathematics and Applied Mathematics. According to data from OpenAlex, Sukriti Goyal has authored 81 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 31 papers in Computational Theory and Mathematics and 13 papers in Applied Mathematics. Recurrent topics in Sukriti Goyal’s work include Computational Drug Discovery Methods (30 papers), Cancer therapeutics and mechanisms (10 papers) and Mathematical functions and polynomials (9 papers). Sukriti Goyal is often cited by papers focused on Computational Drug Discovery Methods (30 papers), Cancer therapeutics and mechanisms (10 papers) and Mathematical functions and polynomials (9 papers). Sukriti Goyal collaborates with scholars based in India, Japan and Canada. Sukriti Goyal's co-authors include Abhinav Grover, Salma Jamal, Chetna Tyagi, Jaspreet Kaur Dhanjal, Aditi Singh, Sonam Grover, Pranay Goswami, Sharad Verma, Asheesh Shanker and Durai Sundar and has published in prestigious journals such as PLoS ONE, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Sukriti Goyal i

Fields of papers citing papers by Sukriti Goyal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sukriti Goyal

Since Specialization
Citations

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