Sukriti Sukriti

31 papers and 1.1k indexed citations i.

About

Sukriti Sukriti is a scholar working on Epidemiology, Hepatology and Molecular Biology. According to data from OpenAlex, Sukriti Sukriti has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 11 papers in Hepatology and 9 papers in Molecular Biology. Recurrent topics in Sukriti Sukriti’s work include Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (10 papers) and Hepatitis C virus research (8 papers). Sukriti Sukriti is often cited by papers focused on Liver Disease Diagnosis and Treatment (10 papers), Hepatitis B Virus Studies (10 papers) and Hepatitis C virus research (8 papers). Sukriti Sukriti collaborates with scholars based in India, United States and Germany. Sukriti Sukriti's co-authors include Dolly Mehta, Mohammad Tauseef, Shiv Kumar Sarin, Pascal Yazbeck, Nirupma Trehanpati, Syed Hissar, Shvetank Sharma, Asrar B. Malik, Nebojša Nick Knežević and Alexander Dietrich and has published in prestigious journals such as The Journal of Experimental Medicine, Nature Communications and The Journal of Cell Biology.

In The Last Decade

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

Fields of papers citing papers by Sukriti Sukriti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Sukriti Sukriti

Since Specialization
Citations

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