Vinit Shanbhag

1.4k total citations · 2 hit papers
17 papers, 1.0k citations indexed

About

Vinit Shanbhag is a scholar working on Nutrition and Dietetics, Oncology and Molecular Biology. According to data from OpenAlex, Vinit Shanbhag has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nutrition and Dietetics, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Vinit Shanbhag's work include Trace Elements in Health (10 papers), Heavy Metal Exposure and Toxicity (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Vinit Shanbhag is often cited by papers focused on Trace Elements in Health (10 papers), Heavy Metal Exposure and Toxicity (6 papers) and Drug Transport and Resistance Mechanisms (5 papers). Vinit Shanbhag collaborates with scholars based in United States, Sweden and India. Vinit Shanbhag's co-authors include Michael J. Petris, Nikita Gudekar, Kimberly J. Jasmer, Christos Papageorgiou, Kamalendra Singh, Gary A. Weisman, Sha Zhu, Aslam A. Khan, Erik Ladomersky and Kamlendra Singh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Scientific Reports.

In The Last Decade

Vinit Shanbhag

16 papers receiving 1.0k citations

Hit Papers

Copper metabolism as a unique vulnerability in cancer 2020 2026 2022 2024 2020 2023 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vinit Shanbhag United States 12 433 367 258 245 188 17 1.0k
Chenghua Li China 13 226 0.5× 366 1.0× 196 0.8× 109 0.4× 85 0.5× 36 826
Farukh A. Durrani United States 21 333 0.8× 458 1.2× 263 1.0× 369 1.5× 191 1.0× 49 1.2k
Jiřina Hofmanová Czechia 24 181 0.4× 859 2.3× 314 1.2× 182 0.7× 338 1.8× 82 1.5k
Magdalena Bryś Poland 25 231 0.5× 978 2.7× 333 1.3× 138 0.6× 437 2.3× 105 2.0k
Qianqian Yu China 13 153 0.4× 299 0.8× 319 1.2× 175 0.7× 179 1.0× 45 1.1k
Lakshmipathi Khandrika United States 10 101 0.2× 719 2.0× 190 0.7× 189 0.8× 301 1.6× 19 1.4k
Xiumin Di United States 8 336 0.8× 361 1.0× 92 0.4× 146 0.6× 124 0.7× 9 1.0k
Ruiai Chu China 18 109 0.3× 728 2.0× 400 1.6× 110 0.4× 174 0.9× 26 1.6k
Xianglin Duan China 18 233 0.5× 460 1.3× 48 0.2× 222 0.9× 190 1.0× 41 1.1k
Mattia Zaccarin Italy 14 190 0.4× 794 2.2× 89 0.3× 600 2.4× 377 2.0× 21 1.3k

Countries citing papers authored by Vinit Shanbhag

Since Specialization
Citations

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

Fields of papers citing papers by Vinit Shanbhag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vinit Shanbhag

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

All Works

17 of 17 papers shown
1.
Jasmer, Kimberly J., Vinit Shanbhag, Kevin Muñoz Forti, et al.. (2024). Pulmonary lysyl oxidase expression and its role in seeding Lewis lung carcinoma cells. Clinical & Experimental Metastasis. 42(1). 7–7.
2.
Nam, Kihoon, et al.. (2024). Copper chelation reduces early collagen deposition and preserves saliva secretion in irradiated salivary glands. Heliyon. 10(2). e24368–e24368. 2 indexed citations
3.
Zulkifli, Mohammad, Shivatheja Soma, Si Chen, et al.. (2023). FDX1-dependent and independent mechanisms of elesclomol-mediated intracellular copper delivery. Proceedings of the National Academy of Sciences. 120(10). e2216722120–e2216722120. 88 indexed citations breakdown →
4.
Shanbhag, Vinit, et al.. (2023). Regulation of Atp7a RNA contributes to differentiation-dependent Cu redistribution in skeletal muscle cells. Metallomics. 15(7). 8 indexed citations
5.
Woods, Lucas T., Kevin Muñoz Forti, Vinit Shanbhag, Jean M. Camden, & Gary A. Weisman. (2021). P2Y receptors for extracellular nucleotides: Contributions to cancer progression and therapeutic implications. Biochemical Pharmacology. 187. 114406–114406. 37 indexed citations
6.
Besold, Angelique N., Vinit Shanbhag, Michael J. Petris, & Valeria Culotta. (2021). Ceruloplasmin as a source of Cu for a fungal pathogen. Journal of Inorganic Biochemistry. 219. 111424–111424. 7 indexed citations
7.
Soma, Shivatheja, Mohammad Zulkifli, Thomas Snavely, et al.. (2020). Elesclomol alleviates Menkes pathology and mortality by escorting Cu to cuproenzymes in mice. Science. 368(6491). 620–625. 124 indexed citations
8.
Shanbhag, Vinit, Nikita Gudekar, Kimberly J. Jasmer, et al.. (2020). Copper metabolism as a unique vulnerability in cancer. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1868(2). 118893–118893. 269 indexed citations breakdown →
9.
Woods, Lucas T., Kimberly J. Jasmer, Kevin Muñoz Forti, et al.. (2020). P2Y2 receptors mediate nucleotide-induced EGFR phosphorylation and stimulate proliferation and tumorigenesis of head and neck squamous cell carcinoma cell lines. Oral Oncology. 109. 104808–104808. 26 indexed citations
10.
Gudekar, Nikita, Vinit Shanbhag, Yanfang Wang, et al.. (2020). Metallothioneins regulate ATP7A trafficking and control cell viability during copper deficiency and excess. Scientific Reports. 10(1). 7856–7856. 46 indexed citations
11.
Shanbhag, Vinit, Kimberly J. Jasmer, Sha Zhu, et al.. (2019). ATP7A delivers copper to the lysyl oxidase family of enzymes and promotes tumorigenesis and metastasis. Proceedings of the National Academy of Sciences. 116(14). 6836–6841. 177 indexed citations
12.
Shanbhag, Vinit, Shrikesh Sachdev, J. Flores, Mukund J. Modak, & Kamalendra Singh. (2018). Family A and B DNA Polymerases in Cancer: Opportunities for Therapeutic Interventions. Biology. 7(1). 5–5. 4 indexed citations
13.
Khatua, Kaustav, et al.. (2018). Cu2+selective chelators relieve copper-induced oxidative stressin vivo. Chemical Science. 9(41). 7916–7930. 84 indexed citations
14.
Zhu, Sha, Vinit Shanbhag, Yanfang Wang, Jaekwon Lee, & Michael J. Petris. (2017). A Role for The ATP7A Copper Transporter in Tumorigenesis and Cisplatin Resistance. Journal of Cancer. 8(11). 1952–1958. 51 indexed citations
15.
Elnahas, Marwa O., et al.. (2017). Isolation, Characterization and Bioactivities of an Extracellular Polysaccharide Produced from Streptomyces sp. MOE6. Molecules. 22(9). 1396–1396. 38 indexed citations
16.
Ladomersky, Erik, Aslam A. Khan, Vinit Shanbhag, et al.. (2017). Host and Pathogen Copper-Transporting P-Type ATPases Function Antagonistically during Salmonella Infection. Infection and Immunity. 85(9). 46 indexed citations
17.
Zhu, Sha, Vinit Shanbhag, Victoria Hodgkinson, & Michael J. Petris. (2016). Multiple di-leucines in the ATP7A copper transporter are required for retrograde trafficking to the trans-Golgi network. Metallomics. 8(9). 993–1001. 11 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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