Parmjit Jat

112 papers and 7.6k indexed citations i.

About

Parmjit Jat is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Parmjit Jat has authored 112 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 34 papers in Oncology and 28 papers in Genetics. Recurrent topics in Parmjit Jat’s work include Telomeres, Telomerase, and Senescence (20 papers), Virus-based gene therapy research (19 papers) and Polyomavirus and related diseases (13 papers). Parmjit Jat is often cited by papers focused on Telomeres, Telomerase, and Senescence (20 papers), Virus-based gene therapy research (19 papers) and Polyomavirus and related diseases (13 papers). Parmjit Jat collaborates with scholars based in United Kingdom, United States and Belgium. Parmjit Jat's co-authors include Ruchi Kumari, Phillip A. Sharp, Mark Noble, Paris Ataliotis, Lesli H. Larsen, Yujiro Tanaka, D Kioussis, R Whitehead, Kristen Frederiksen and Ron McKay and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Co-authorship network of co-authors of Parmjit Jat i

Fields of papers citing papers by Parmjit Jat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Parmjit Jat

Since Specialization
Citations

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