Vasu Punj

4.4k total citations
79 papers, 3.4k citations indexed

About

Vasu Punj is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Vasu Punj has authored 79 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 22 papers in Oncology and 19 papers in Cancer Research. Recurrent topics in Vasu Punj's work include Viral-associated cancers and disorders (11 papers), Epigenetics and DNA Methylation (10 papers) and Cancer Research and Treatments (7 papers). Vasu Punj is often cited by papers focused on Viral-associated cancers and disorders (11 papers), Epigenetics and DNA Methylation (10 papers) and Cancer Research and Treatments (7 papers). Vasu Punj collaborates with scholars based in United States, India and China. Vasu Punj's co-authors include Hittu Matta, Preet M. Chaudhary, Keigo Machida, Tapas K. Das Gupta, Chia‐Lin Chen, Ananda M. Chakrabarty, Tohru Yamada, A. M. Chakrabarty, Olga Zaborina and Stanley M. Tahara and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Vasu Punj

79 papers receiving 3.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vasu Punj United States 35 1.9k 786 659 400 393 79 3.4k
Klaus Roemer Germany 32 2.3k 1.2× 945 1.2× 419 0.6× 149 0.4× 331 0.8× 83 3.7k
Ravid Straussman Israel 20 3.7k 1.9× 1.8k 2.3× 726 1.1× 418 1.0× 588 1.5× 28 5.3k
Paul Waring Australia 26 1.2k 0.6× 894 1.1× 353 0.5× 150 0.4× 799 2.0× 65 3.1k
Liam O’Connor Australia 16 2.8k 1.5× 842 1.1× 567 0.9× 107 0.3× 794 2.0× 25 3.9k
Sandra Liekens Belgium 38 2.5k 1.3× 1.3k 1.6× 552 0.8× 109 0.3× 606 1.5× 141 5.2k
Guoliang Qing China 31 3.0k 1.5× 644 0.8× 1.5k 2.3× 143 0.4× 488 1.2× 54 4.2k
Jose G. Teodoro Canada 29 2.0k 1.1× 855 1.1× 336 0.5× 218 0.5× 481 1.2× 47 3.4k
Paola Marcato Canada 33 1.6k 0.8× 1.4k 1.7× 988 1.5× 372 0.9× 514 1.3× 74 3.4k
Hang Fai Kwok Macao 34 1.7k 0.9× 748 1.0× 560 0.8× 112 0.3× 529 1.3× 140 3.3k
Vítor M. Faça Brazil 29 2.1k 1.1× 449 0.6× 484 0.7× 150 0.4× 335 0.9× 92 3.2k

Countries citing papers authored by Vasu Punj

Since Specialization
Citations

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

Fields of papers citing papers by Vasu Punj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasu Punj

This figure shows the co-authorship network connecting the top 25 collaborators of Vasu Punj. A scholar is included among the top collaborators of Vasu Punj 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 Vasu Punj. Vasu Punj 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.
Poe, Adam J., Ruchi Shah, Drirh Khare, et al.. (2022). Regulatory role of miR-146a in corneal epithelial wound healing via its inflammatory targets in human diabetic cornea. The Ocular Surface. 25. 92–100. 16 indexed citations
2.
Shah, Ruchi, Tanya M. Spektor, Vasu Punj, et al.. (2021). Wnt5a promotes diabetic corneal epithelial wound healing and limbal stem cell expression. Investigative Ophthalmology & Visual Science. 62(8). 847–847. 2 indexed citations
3.
Poe, Adam J., Mangesh Kulkarni, Aleksandra Leszczynska, et al.. (2020). Integrated Transcriptome and Proteome Analyses Reveal the Regulatory Role of miR-146a in Human Limbal Epithelium via Notch Signaling. Cells. 9(10). 2175–2175. 14 indexed citations
4.
Gao, Jinghui, Xingshen Sun, Leonard Brooks, et al.. (2020). Derivation of induced pluripotent stem cells from ferret somatic cells. American Journal of Physiology-Lung Cellular and Molecular Physiology. 318(4). L671–L683. 11 indexed citations
5.
Kani, Kian, Carolina Garri, Katrin Tiemann, et al.. (2017). JUN-Mediated Downregulation of EGFR Signaling Is Associated with Resistance to Gefitinib in EGFR-mutant NSCLC Cell Lines. Molecular Cancer Therapeutics. 16(8). 1645–1657. 18 indexed citations
6.
Feng, Jifan, Junjun Jing, Jingyuan Li, et al.. (2017). BMP signaling orchestrates a transcriptional network to control the fate of mesenchymal stem cells in mice. Development. 144(14). 2560–2569. 69 indexed citations
7.
Kulkarni, Mangesh, Aleksandra Leszczynska, Michael Winkler, et al.. (2017). Genome-wide analysis suggests a differential microRNA signature associated with normal and diabetic human corneal limbus. Scientific Reports. 7(1). 3448–3448. 38 indexed citations
8.
Weisenberger, Daniel J., Vasu Punj, Scott C. Borinstein, et al.. (2015). Promoter Methylation Analysis Reveals That KCNA5 Ion Channel Silencing Supports Ewing Sarcoma Cell Proliferation. Molecular Cancer Research. 14(1). 26–34. 21 indexed citations
9.
Xu, Jun, Feng Chi, Tongsheng Guo, et al.. (2015). NOTCH reprograms mitochondrial metabolism for proinflammatory macrophage activation. Journal of Clinical Investigation. 125(4). 1579–1590. 189 indexed citations
10.
Kim, Jin‐Man, Kyunghwan Kim, Vasu Punj, et al.. (2015). Linker histone H1.2 establishes chromatin compaction and gene silencing through recognition of H3K27me3. Scientific Reports. 5(1). 16714–16714. 42 indexed citations
11.
Chen, Chia‐Lin, Vasu Punj, Jun Xu, et al.. (2015). NANOG Metabolically Reprograms Tumor-Initiating Stem-like Cells through Tumorigenic Changes in Oxidative Phosphorylation and Fatty Acid Metabolism. Cell Metabolism. 23(1). 206–219. 310 indexed citations
12.
13.
Kanwar, Jagat R., Xueying Sun, Vasu Punj, et al.. (2011). Nanoparticles in the treatment and diagnosis of neurological disorders: untamed dragon with fire power to heal. Nanomedicine Nanotechnology Biology and Medicine. 8(4). 399–414. 92 indexed citations
14.
Punj, Vasu, Hittu Matta, & Preet M. Chaudhary. (2010). X-Linked Ectodermal Dysplasia Receptor Is Downregulated in Breast Cancer via Promoter Methylation. Clinical Cancer Research. 16(4). 1140–1148. 16 indexed citations
15.
16.
Guo, Yusong, Vasu Punj, Debrup Sengupta, & Adam D. Linstedt. (2008). Coat-Tether Interaction in Golgi Organization. Molecular Biology of the Cell. 19(7). 2830–2843. 58 indexed citations
17.
Kanwar, Shamsher S., Iraj Ghazi, Swapandeep Singh Chimni, et al.. (2005). Purification and properties of a novel extra-cellular thermotolerant metallolipase of Bacillus coagulans MTCC-6375 isolate. Protein Expression and Purification. 46(2). 421–428. 43 indexed citations
18.
Yamada, Tohru, Arsénio M. Fialho, Vasu Punj, et al.. (2005). Internalization of bacterial redox protein azurin in mammalian cells: entry domain and specificity. Cellular Microbiology. 7(10). 1418–1431. 90 indexed citations
19.
Punj, Vasu, et al.. (2004). Microbial based therapy of cancer: A new twist to an age old practice. Cancer Biology & Therapy. 3(8). 708–714. 12 indexed citations
20.
Punj, Vasu, Tapas K. Das Gupta, & Ananda M. Chakrabarty. (2003). Bacterial cupredoxin azurin and its interactions with the tumor suppressor protein p53. Biochemical and Biophysical Research Communications. 312(1). 109–114. 39 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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