Kalindi Parmar

156 total papers · 4.2k total citations
60 papers, 3.0k citations indexed

About

Kalindi Parmar is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Kalindi Parmar has authored 60 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 23 papers in Oncology and 13 papers in Hematology. Recurrent topics in Kalindi Parmar's work include DNA Repair Mechanisms (32 papers), PARP inhibition in cancer therapy (10 papers) and CRISPR and Genetic Engineering (9 papers). Kalindi Parmar is often cited by papers focused on DNA Repair Mechanisms (32 papers), PARP inhibition in cancer therapy (10 papers) and CRISPR and Genetic Engineering (9 papers). Kalindi Parmar collaborates with scholars based in United States, China and Germany. Kalindi Parmar's co-authors include Alan D. D’Andrea, Julian D. Down, Peter Mauch, Jo‐Anne Vergilio, Robert Sackstein, Naomi Rosenberg, Min Huang, Laura J. Niedernhofer, David M. Weinstock and Emily F. Gaudiano and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Kalindi Parmar

58 papers receiving 3.0k citations

Hit Papers

Distribution of hematopoi... 2007 2026 2013 2019 2007 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kalindi Parmar 2.1k 854 706 585 359 60 3.0k
Stephen M. Sykes 2.4k 1.1× 996 1.2× 761 1.1× 386 0.7× 298 0.8× 78 3.6k
Maria Luisa Sulis 2.2k 1.0× 634 0.7× 763 1.1× 367 0.6× 266 0.7× 52 3.2k
Walter E. Laug 1.6k 0.8× 747 0.9× 511 0.7× 1.3k 2.2× 359 1.0× 73 3.6k
Yann Lécluse 1.5k 0.7× 641 0.8× 696 1.0× 337 0.6× 579 1.6× 58 2.7k
Alan H. Shih 2.7k 1.3× 694 0.8× 994 1.4× 620 1.1× 801 2.2× 37 3.8k
Shinobu Tsuzuki 1.7k 0.8× 653 0.8× 686 1.0× 971 1.7× 339 0.9× 86 3.1k
Cristina E. Tognon 2.0k 0.9× 974 1.1× 684 1.0× 702 1.2× 457 1.3× 80 3.6k
Karin List 1.2k 0.6× 511 0.6× 589 0.8× 762 1.3× 290 0.8× 42 2.9k
Ellen van Drunen 2.5k 1.2× 958 1.1× 549 0.8× 539 0.9× 161 0.4× 42 3.7k
John F. Lyons 2.7k 1.3× 1.3k 1.5× 577 0.8× 550 0.9× 321 0.9× 81 4.3k

Countries citing papers authored by Kalindi Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Kalindi Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kalindi Parmar

This figure shows the co-authorship network connecting the top 25 collaborators of Kalindi Parmar. A scholar is included among the top collaborators of Kalindi Parmar based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kalindi Parmar. Kalindi Parmar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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