Naina Khullar

31 total papers · 1.1k total citations
24 papers, 697 citations indexed

About

Naina Khullar is a scholar working on Molecular Biology, Cancer Research and Clinical Biochemistry. According to data from OpenAlex, Naina Khullar has authored 24 papers receiving a total of 697 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Clinical Biochemistry. Recurrent topics in Naina Khullar's work include Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). Naina Khullar is often cited by papers focused on Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers) and Circular RNAs in diseases (6 papers). Naina Khullar collaborates with scholars based in India, United States and Saudi Arabia. Naina Khullar's co-authors include Jasvinder Singh Bhatti, Gurjit Kaur Bhatti, P. Hemachandra Reddy, Inderpal Singh Sidhu, Umashanker Navik, Shashank Kumar, Abhishek Sehrawat, Jayapriya Mishra, Arubala P. Reddy and Rashid Mir and has published in prestigious journals such as Free Radical Biology and Medicine, World Journal of Gastroenterology and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Naina Khullar

21 papers receiving 685 citations

Hit Papers

Oxidative stress in the p... 2022 2026 2023 2024 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Naina Khullar 323 156 134 97 66 24 697
Gabriela M. Sanda 276 0.9× 198 1.3× 100 0.7× 43 0.4× 111 1.7× 26 630
Margarita Díaz-Flores 245 0.8× 60 0.4× 138 1.0× 130 1.3× 79 1.2× 36 749
Guoguang Wang 233 0.7× 56 0.4× 148 1.1× 86 0.9× 63 1.0× 29 633
Alena Mazuráková 291 0.9× 105 0.7× 52 0.4× 49 0.5× 46 0.7× 29 791
Mrinmoy Sarkar 206 0.6× 73 0.5× 183 1.4× 66 0.7× 58 0.9× 27 631
Rosaria Piga 287 0.9× 68 0.4× 82 0.6× 65 0.7× 130 2.0× 21 716
Atul Rawat 341 1.1× 105 0.7× 86 0.6× 71 0.7× 50 0.8× 32 760
Cheng-Feng Luo 328 1.0× 76 0.5× 68 0.5× 54 0.6× 84 1.3× 29 697
Shima Mohammadi 279 0.9× 107 0.7× 97 0.7× 99 1.0× 62 0.9× 25 686
Seyyed Mehdi Mirhashemi 299 0.9× 150 1.0× 106 0.8× 152 1.6× 38 0.6× 33 754

Countries citing papers authored by Naina Khullar

Since Specialization
Citations

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

Fields of papers citing papers by Naina Khullar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naina Khullar

This figure shows the co-authorship network connecting the top 25 collaborators of Naina Khullar. A scholar is included among the top collaborators of Naina Khullar 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 Naina Khullar. Naina Khullar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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