Punit Kaur

7.4k total citations
244 papers, 5.5k citations indexed

About

Punit Kaur is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Punit Kaur has authored 244 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 141 papers in Molecular Biology, 38 papers in Genetics and 38 papers in Immunology. Recurrent topics in Punit Kaur's work include Venomous Animal Envenomation and Studies (23 papers), Heat shock proteins research (19 papers) and Antibiotic Resistance in Bacteria (17 papers). Punit Kaur is often cited by papers focused on Venomous Animal Envenomation and Studies (23 papers), Heat shock proteins research (19 papers) and Antibiotic Resistance in Bacteria (17 papers). Punit Kaur collaborates with scholars based in India, United States and Germany. Punit Kaur's co-authors include T.P. Singh, Alexzander Asea, Sujata Sharma, M. Sinha, Sujata Sharma, A.S. Ethayathulla, N. Singh, Sanket Kaushik, Alagiri Srinivasan and A. Srinivasan and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Punit Kaur

238 papers receiving 5.4k citations

Author Peers

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

Author Last Decade Papers Cites
Punit Kaur 2.7k 826 693 499 438 244 5.5k
T.P. Singh 3.5k 1.3× 1.1k 1.3× 637 0.9× 403 0.8× 788 1.8× 316 6.8k
Kanagalaghatta R. Rajashankar 4.6k 1.7× 860 1.0× 382 0.6× 554 1.1× 324 0.7× 105 7.1k
Nam‐Chul Ha 4.0k 1.5× 863 1.0× 1.2k 1.8× 815 1.6× 330 0.8× 219 6.8k
Srinivasa Reddy Bonam 2.1k 0.8× 458 0.6× 540 0.8× 592 1.2× 693 1.6× 140 5.5k
Makoto Inoue 4.5k 1.6× 956 1.2× 701 1.0× 804 1.6× 268 0.6× 333 8.3k
Jennifer L. Martin 5.4k 2.0× 816 1.0× 414 0.6× 489 1.0× 296 0.7× 157 8.1k
Marco Biasini 4.7k 1.7× 630 0.8× 516 0.7× 395 0.8× 257 0.6× 10 7.2k
Florian Kiefer 5.1k 1.9× 741 0.9× 601 0.9× 421 0.8× 274 0.6× 29 8.1k
Ambrish Roy 5.2k 1.9× 658 0.8× 630 0.9× 358 0.7× 218 0.5× 21 7.5k
Ziqiang Guan 4.5k 1.7× 1.1k 1.3× 470 0.7× 331 0.7× 133 0.3× 213 7.4k

Countries citing papers authored by Punit Kaur

Since Specialization
Citations

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

Fields of papers citing papers by Punit Kaur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Punit Kaur

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

All Works

20 of 20 papers shown
1.
Gupta, Deepali, et al.. (2025). “Exploration of Novel Anticancerous Agents Targeting Human Aurora Kinase C”. Journal of Cellular Biochemistry. 126(3). e70025–e70025. 1 indexed citations
2.
Kumar, Mukesh, Vikas Shrivastava, Saurabh Mishra, et al.. (2025). Unraveling the genetic landscape of high-risk retinoblastoma through transcriptome profiling. Chemical Physics Impact. 10. 100835–100835. 1 indexed citations
3.
Gupta, Deepali, et al.. (2024). A comprehensive review on role of Aurora kinase inhibitors (AKIs) in cancer therapeutics. International Journal of Biological Macromolecules. 265(Pt 2). 130913–130913. 18 indexed citations
4.
Kaur, Punit, et al.. (2024). Phenotypical mapping of TP53 unique missense mutations spectrum in human cancers. Journal of Biomolecular Structure and Dynamics. 43(18). 10693–10706.
5.
Ethayathulla, A.S., et al.. (2023). Association of Hsp90 with p53 and Fizzy related homolog (Fzr) synchronizing Anaphase Promoting Complex (APC/C): An unexplored ally towards oncogenic pathway. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(3). 188883–188883. 3 indexed citations
6.
Anwar, Saleha, Taj Mohammad, Gulam Mustafa Hasan, et al.. (2023). Investigating MARK4 inhibitory potential of Bacopaside II: Targeting Alzheimer's disease. International Journal of Biological Macromolecules. 245. 125364–125364. 17 indexed citations
7.
Bandyopadhyay, Sabyasachi, et al.. (2023). Identification of potential biomarkers to predict organ morbidity in COVID-19: A repository based proteomics perspective. Biochemistry and Biophysics Reports. 35. 101493–101493. 5 indexed citations
8.
Haque, Md. Anzarul, et al.. (2022). Identification of natural small molecule modulators of MurB from Salmonella enterica serovar Typhi Ty2 strain using computational and biophysical approaches. Proteins Structure Function and Bioinformatics. 91(3). 363–379. 5 indexed citations
9.
Kumar, Atin, Arun Kumar Gupta, Neetu Bhari, et al.. (2020). Mutation Spectrum of Tuberous Sclerosis Complex Patients in Indian Population. Journal of Pediatric Genetics. 10(4). 274–283. 4 indexed citations
10.
Sharma, Pradeep, V. Viswanathan, Pradeep Pant, et al.. (2020). Identification of potential drug candidates to combat COVID-19: a structural study using the main protease (mpro) of SARS-CoV-2. Journal of Biomolecular Structure and Dynamics. 39(17). 6649–6659. 24 indexed citations
11.
Kaur, Punit, et al.. (2017). SOME SANDWICH-TYPE RESULTS FOR φ-LIKE FUNCTIONS. 51. 1 indexed citations
12.
Barreca, Maria Magdalena, Vincenzo Cavalieri, Giuseppina Turturici, et al.. (2016). Extracellular Hsp70 Enhances Mesoangioblast Migration via an Autocrine Signaling Pathway. Journal of Cellular Physiology. 232(7). 1845–1861. 18 indexed citations
13.
Singh, Avinash, et al.. (2016). Structure of iron saturated C‐lobe of bovine lactoferrin at pH 6.8 indicates a weakening of iron coordination. Proteins Structure Function and Bioinformatics. 84(5). 591–599. 32 indexed citations
14.
15.
Kaur, Punit, Ganachari M. Nagaraja, Hongying Zheng, et al.. (2012). A mouse model for triple-negative breast cancer tumor-initiating cells (TNBC-TICs) exhibits similar aggressive phenotype to the human disease. BMC Cancer. 12(1). 120–120. 150 indexed citations
16.
Nagaraja, Ganachari M., Punit Kaur, William L. Neumann, et al.. (2011). Silencing hsp25 / hsp27 Gene Expression Augments Proteasome Activity and Increases CD8+ T-Cell–Mediated Tumor Killing and Memory Responses. Cancer Prevention Research. 5(1). 122–137. 17 indexed citations
17.
Kumar, Manoj, Tushar Agarwal, Sudarshan Khokhar, et al.. (2011). Mutation screening and genotype phenotype correlation of α-crystallin, γ-crystallin and GJA8 gene in congenital cataract.. PubMed. 17. 693–707. 37 indexed citations
18.
Paliwal, Preeti, Arundhati Sharma, Radhika Tandon, et al.. (2010). TGFBI mutation screening and genotype-phenotype correlation in north Indian patients with corneal dystrophies.. PubMed. 16. 1429–38. 21 indexed citations
19.
20.
Hariprasad, Gururao, Saravanan Kolandaivelu, Utpal Das, et al.. (2009). Group III PLA2 from the scorpion, Mesobuthus tamulus: cloning and recombinant expression in E. coli. Electronic Journal of Biotechnology. 12(3). 6–7. 14 indexed citations

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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