Smiti Gupta

835 total citations
37 papers, 658 citations indexed

About

Smiti Gupta is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Smiti Gupta has authored 37 papers receiving a total of 658 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Oncology and 7 papers in Surgery. Recurrent topics in Smiti Gupta's work include Diet and metabolism studies (5 papers), Cholesterol and Lipid Metabolism (5 papers) and Fatty Acid Research and Health (5 papers). Smiti Gupta is often cited by papers focused on Diet and metabolism studies (5 papers), Cholesterol and Lipid Metabolism (5 papers) and Fatty Acid Research and Health (5 papers). Smiti Gupta collaborates with scholars based in United States, Malaysia and Netherlands. Smiti Gupta's co-authors include Mansi Parasramka, Nadia Saadat, Xiangming Ji, Fazlul H. Sarkar, Zhiwei Wang, Zhiwei Wang, Shi Sun, Corene Canning, Kequan Zhou and Pramod Khosla and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Smiti Gupta

37 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Smiti Gupta United States 16 391 138 90 81 74 37 658
Lokesh Dalasanur Nagaprashantha United States 15 581 1.5× 115 0.8× 122 1.4× 107 1.3× 164 2.2× 23 961
Firdous Ahmad Bhat India 13 398 1.0× 136 1.0× 67 0.7× 100 1.2× 125 1.7× 31 861
Sung Dae Cho South Korea 15 466 1.2× 144 1.0× 48 0.5× 55 0.7× 72 1.0× 20 929
Gangjun Du China 19 393 1.0× 116 0.8× 73 0.8× 77 1.0× 115 1.6× 35 846
Seung Ho Shin United States 18 484 1.2× 147 1.1× 69 0.8× 127 1.6× 150 2.0× 30 922
Ashu Bhan Tiku India 17 318 0.8× 94 0.7× 171 1.9× 101 1.2× 45 0.6× 37 822
Avantika Barve United States 11 398 1.0× 63 0.5× 75 0.8× 153 1.9× 62 0.8× 24 748
Young-Sam Keum United States 12 815 2.1× 80 0.6× 64 0.7× 76 0.9× 92 1.2× 14 1.1k
Julia Lawrence United States 8 368 0.9× 84 0.6× 64 0.7× 118 1.5× 113 1.5× 10 664
Małgorzata Drąg‐Zalesińska Poland 17 435 1.1× 117 0.8× 77 0.9× 56 0.7× 101 1.4× 47 876

Countries citing papers authored by Smiti Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Smiti Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Smiti Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Smiti Gupta. A scholar is included among the top collaborators of Smiti Gupta 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 Smiti Gupta. Smiti Gupta 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.
Liu, Mengying, N. Saha, Ambikai Gajan, et al.. (2019). A complex interplay between SAM synthetase and the epigenetic regulator SIN3 controls metabolism and transcription. Journal of Biological Chemistry. 295(2). 375–389. 15 indexed citations
2.
Joshi, Amit, Yiran Li, Carlo W.T. van Roermund, et al.. (2019). Cardiolipin-deficient cells depend on anaplerotic pathways to ameliorate defective TCA cycle function. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(5). 654–661. 16 indexed citations
3.
Saadat, Nadia, Fangchao Liu, Brittany Haynes, et al.. (2018). Nano-delivery of RAD6 /Translesion Synthesis Inhibitor SMI#9 for Triple-negative Breast Cancer Therapy. Molecular Cancer Therapeutics. 17(12). 2586–2597. 15 indexed citations
4.
Gupta, Smiti, et al.. (2018). Delta-tocotrienol inhibits non-small-cell lung cancer cell invasion via the inhibition of NF-κB, uPA activator, and MMP-9. OncoTargets and Therapy. Volume 11. 4301–4314. 28 indexed citations
5.
Saadat, Nadia, et al.. (2018). Dietary Garcinol Arrests Pancreatic Cancer in p53 and K-ras Conditional Mutant Mouse Model. Nutrition and Cancer. 70(7). 1075–1087. 15 indexed citations
6.
7.
Gupta, Smiti, et al.. (2016). Metabolomics connects aberrant bioenergetic, transmethylation, and gut microbiota in sarcoidosis. Metabolomics. 12(2). 26 indexed citations
8.
Gupta, Smiti, et al.. (2016). Delta Tocotrienal Inhibit mTOR Pathway by Modulating Glutamine Uptake and Transporters in Non‐Small Cell Lung Cancer. The FASEB Journal. 30(S1). 4 indexed citations
9.
Ji, Xiangming, et al.. (2015). Oil palm phenolics (OPP) inhibit pancreatic cancer cell proliferation via suppression of NF-κB pathway.. PubMed. 35(1). 97–106. 15 indexed citations
10.
11.
Canning, Corene, Shi Sun, Xiangming Ji, Smiti Gupta, & Kequan Zhou. (2013). Antibacterial and cytotoxic activity of isoprenylated coumarin mammea A/AA isolated from Mammea africana. Journal of Ethnopharmacology. 147(1). 259–262. 39 indexed citations
12.
Ji, Xiangming, et al.. (2012). Delta‐tocotrienol suppresses Notch‐1 pathway by upregulating miR‐34a in nonsmall cell lung cancer cells. International Journal of Cancer. 131(11). 2668–2677. 79 indexed citations
13.
Ji, Xiangming, et al.. (2011). Inhibition of cell growth and induction of apoptosis in non-small cell lung cancer cells by delta-tocotrienol is associated with notch-1 down-regulation. Journal of Cellular Biochemistry. 112(10). 2773–2783. 69 indexed citations
14.
Parasramka, Mansi & Smiti Gupta. (2011). Garcinol Inhibits Cell Proliferation and Promotes Apoptosis in Pancreatic Adenocarcinoma Cells. Nutrition and Cancer. 63(3). 456–465. 43 indexed citations
15.
Gupta, Smiti, et al.. (2005). Quantitative Chemiluminescent Immunoassay for NF‐κB–DNA Binding Activity. Journal of Immunoassay and Immunochemistry. 26(2). 125–143. 19 indexed citations
16.
Gupta, Smiti, et al.. (2003). Quantification of 20-hydroxyeicosatetraenoic acid by colorimetric competitive enzyme linked immunosorbent assay. Journal of Biosciences. 28(1). 109–113. 14 indexed citations
17.
Gupta, Smiti, Naomi Yamada, Thomas V. Fungwe, & Pramod Khosla. (2003). Replacing 40% of Dietary Animal Fat with Vegetable Oil Is Associated with Lower HDL Cholesterol and Higher Cholesterol Ester Transfer Protein in Cynomolgus Monkeys Fed Sufficient Linoleic Acid. Journal of Nutrition. 133(8). 2600–2606. 4 indexed citations
18.
Gupta, Smiti & Pramod Khosla. (2001). Palmitic and Stearic Acids Similarly Affect Plasma Lipoprotein Metabolism in Cynomolgus Monkeys Fed Diets with Adequate Levels of Linoleic Acid. Journal of Nutrition. 131(8). 2115–2120. 9 indexed citations
19.
Gupta, Smiti, et al.. (2000). Pork Fat and Chicken Fat Similarly Affect Plasma Lipoprotein Metabolism in Cynomolgus Monkeys Fed Diets with Adequate Levels of Linoleic Acid. Journal of Nutrition. 130(5). 1217–1224. 7 indexed citations
20.
Gupta, Smiti, et al.. (1997). Leukotriene C4 secretion from normal murine mast cells by a probenecid-sensitive and multidrug resistance-associated protein-independent mechanism. The Journal of Immunology. 158(10). 4916–4920. 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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