Karishma Gupta

986 total citations
30 papers, 704 citations indexed

About

Karishma Gupta is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Karishma Gupta has authored 30 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 6 papers in Surgery. Recurrent topics in Karishma Gupta's work include Prostate Cancer Diagnosis and Treatment (6 papers), Pediatric Urology and Nephrology Studies (3 papers) and Prostate Cancer Treatment and Research (3 papers). Karishma Gupta is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (6 papers), Pediatric Urology and Nephrology Studies (3 papers) and Prostate Cancer Treatment and Research (3 papers). Karishma Gupta collaborates with scholars based in United States, India and Germany. Karishma Gupta's co-authors include Sanjay Gupta, Rajnee Kanwal, Vijay S. Thakur, Eswar Shankar, Vijay S. Thakur, Melissa A. Babcook, Mark W. Jackson, Akbar Nawab, Ritu Chakravarti and Dennis J. Stuehr and has published in prestigious journals such as PLoS ONE, Free Radical Biology and Medicine and The Journal of Urology.

In The Last Decade

Karishma Gupta

29 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karishma Gupta United States 9 355 105 99 91 84 30 704
Yao Fong Taiwan 16 334 0.9× 56 0.5× 102 1.0× 96 1.1× 96 1.1× 28 780
Osama M. Ashour Saudi Arabia 14 250 0.7× 113 1.1× 70 0.7× 147 1.6× 60 0.7× 34 820
Mohamed Y. Zaky Egypt 15 350 1.0× 56 0.5× 144 1.5× 82 0.9× 50 0.6× 62 757
Qingdi Quentin Li China 18 393 1.1× 111 1.1× 133 1.3× 183 2.0× 58 0.7× 28 841
Weon Young Chang South Korea 18 629 1.8× 60 0.6× 129 1.3× 145 1.6× 69 0.8× 31 974
Yasushi Ohno Japan 19 326 0.9× 79 0.8× 83 0.8× 135 1.5× 259 3.1× 61 1.0k
Chiara De Santi Italy 19 349 1.0× 83 0.8× 108 1.1× 81 0.9× 198 2.4× 38 870
Bo‐Wen Lin Taiwan 14 365 1.0× 102 1.0× 130 1.3× 181 2.0× 69 0.8× 40 747
Jaime Arellanes‐Robledo Mexico 18 361 1.0× 116 1.1× 92 0.9× 52 0.6× 65 0.8× 52 822
Ying Yin China 19 496 1.4× 87 0.8× 68 0.7× 80 0.9× 73 0.9× 45 1.1k

Countries citing papers authored by Karishma Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Karishma Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karishma Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Karishma Gupta. A scholar is included among the top collaborators of Karishma 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 Karishma Gupta. Karishma 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.
Verma, Shiv, et al.. (2024). Melanoma Antigen Family A (MAGE A) as Promising Biomarkers and Therapeutic Targets in Bladder Cancer. Cancers. 16(2). 246–246. 4 indexed citations
2.
Li, Lin, Rakesh Shiradkar, Vidya Sankar Viswanathan, et al.. (2023). Multi‐scale statistical deformation based co‐registration of prostate MRI and post‐surgical whole mount histopathology. Medical Physics. 51(4). 2549–2562. 1 indexed citations
3.
Kim, Albert, et al.. (2022). Serial prostate magnetic resonance imaging fails to predict pathological progression in patients on active surveillance. Canadian Urological Association Journal. 16(7). E370–E374. 1 indexed citations
4.
Gupta, Ena, et al.. (2021). FRUIT PEELS: A STRONG NATURAL SOURCE OF ANTIOXIDANT ANDPREBIOTICS. Carpathian Journal of Food Science and Technology. 134–143. 8 indexed citations
5.
Gupta, Karishma, et al.. (2021). Assessment of public interest and current trends in testosterone replacement therapy. International Journal of Impotence Research. 34(8). 753–756. 6 indexed citations
6.
Gupta, Karishma, et al.. (2021). Temporal improvements in renal surgery outcomes across surgical approaches. International Urology and Nephrology. 53(7). 1311–1316. 2 indexed citations
7.
Gupta, Karishma, Tarun K. Jella, Kirtishri Mishra, et al.. (2021). Urologic Education in the Era of COVID-19: Results From a Webinar-Based Reconstructive Urology Lecture Series. Urology. 152. 2–8. 7 indexed citations
8.
Gupta, Karishma, et al.. (2021). Pre-surgical chronic kidney disease continues to drive outcomes in the modern era of minimally invasive renal surgery, despite advances in technology. International Urology and Nephrology. 54(1). 1–7. 2 indexed citations
9.
10.
Gupta, Karishma, et al.. (2021). PD53-12 RISKS OF PRIMARY ACTIVE SURVEILLANCE FOR SMALL TESTICULAR MASSES. The Journal of Urology. 206(Supplement 3). 1 indexed citations
11.
Gupta, Karishma, et al.. (2020). Historical Considerations and Surgical Quality Improvement in Robotic Prostatectomy. Urologic Clinics of North America. 48(1). 35–44. 2 indexed citations
12.
Laratta, Joseph L., Jamal N. Shillingford, Andrew J. Pugely, et al.. (2019). Accuracy of cortical bone trajectory screw placement in midline lumbar fusion (MIDLF) with intraoperative cone beam navigation. Journal of Spine Surgery. 5(4). 443–450. 6 indexed citations
13.
Gupta, Karishma, Shannon Donnola, Zhina Sadeghi, et al.. (2017). Intrarenal Injection of <em>Escherichia coli</em> in a Rat Model of Pyelonephritis. Journal of Visualized Experiments. 6 indexed citations
14.
Hsu, Kuan-Hui, et al.. (2017). Multidose Preservative Free Eyedrops by Selective Removal of Benzalkonium Chloride from Ocular Formulations. Pharmaceutical Research. 34(12). 2862–2872. 12 indexed citations
15.
Shankar, Eswar, et al.. (2017). Plant Flavone Apigenin: an Emerging Anticancer Agent. Current Pharmacology Reports. 3(6). 423–446. 153 indexed citations
16.
Chakravarti, Ritu, et al.. (2015). Novel insights in mammalian catalase heme maturation: Effect of NO and thioredoxin-1. Free Radical Biology and Medicine. 82. 105–113. 26 indexed citations
17.
Donnola, Shannon, Elliott C. Dasenbrook, Lan Lŭ, et al.. (2015). Preliminary comparison of normalized T1 and non-contrast perfusion MRI assessments of regional lung disease in cystic fibrosis patients. Journal of Cystic Fibrosis. 16(2). 283–290. 14 indexed citations
18.
Kanwal, Rajnee, Karishma Gupta, & Sanjay Gupta. (2014). Cancer Epigenetics: An Introduction. Methods in molecular biology. 1238. 3–25. 186 indexed citations
19.
Gupta, Karishma, Vijay S. Thakur, Natarajan Bhaskaran, et al.. (2012). Green Tea Polyphenols Induce p53-Dependent and p53-Independent Apoptosis in Prostate Cancer Cells through Two Distinct Mechanisms. PLoS ONE. 7(12). e52572–e52572. 41 indexed citations
20.
Thakur, Vijay S., Karishma Gupta, & Sanjay Gupta. (2011). Green tea polyphenols causes cell cycle arrest and apoptosis in prostate cancer cells by suppressing class I histone deacetylases. Carcinogenesis. 33(2). 377–384. 116 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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