Riyaz Basha

4.8k total citations · 1 hit paper
97 papers, 3.6k citations indexed

About

Riyaz Basha is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Riyaz Basha has authored 97 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 25 papers in Oncology and 23 papers in Cancer Research. Recurrent topics in Riyaz Basha's work include Heavy Metal Exposure and Toxicity (12 papers), Trace Elements in Health (12 papers) and Alzheimer's disease research and treatments (11 papers). Riyaz Basha is often cited by papers focused on Heavy Metal Exposure and Toxicity (12 papers), Trace Elements in Health (12 papers) and Alzheimer's disease research and treatments (11 papers). Riyaz Basha collaborates with scholars based in United States, India and Trinidad and Tobago. Riyaz Basha's co-authors include Nasser H. Zawia, Debomoy K. Lahiri, Maen Abdelrahim, Umesh T. Sankpal, Bryan Maloney, Jinfang Wu, Jamboor K. Vishwanatha, Nasser Zawia, Stephen Safe and Fernando Cardozo‐Pelaez and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Riyaz Basha

96 papers receiving 3.5k citations

Hit Papers

Ovarian cancer: Current status and strategies for improvi... 2019 2026 2021 2023 2019 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
Riyaz Basha United States 32 1.4k 1.0k 626 591 449 97 3.6k
Eun-Sook Lee United States 40 1.2k 0.8× 707 0.7× 753 1.2× 562 1.0× 329 0.7× 128 4.3k
Josef Abel Germany 38 1.4k 1.0× 1.4k 1.4× 746 1.2× 258 0.4× 675 1.5× 96 4.3k
Honglian Shi United States 34 1.8k 1.3× 544 0.5× 489 0.8× 445 0.8× 722 1.6× 68 4.4k
Dai Nakae Japan 36 1.9k 1.3× 688 0.7× 425 0.7× 345 0.6× 859 1.9× 188 5.0k
Roger Godschalk Netherlands 41 2.0k 1.4× 1.0k 1.0× 397 0.6× 537 0.9× 1.5k 3.2× 163 5.0k
Samuel Caito United States 26 1.4k 1.0× 678 0.7× 509 0.8× 741 1.3× 244 0.5× 46 3.7k
Edward A. Lock United Kingdom 39 1.9k 1.3× 622 0.6× 335 0.5× 350 0.6× 833 1.9× 168 4.9k
Youngmi Kim Pak South Korea 39 2.4k 1.6× 344 0.3× 312 0.5× 1.1k 1.9× 449 1.0× 127 4.7k
Marco T. Núñez Chile 41 1.6k 1.1× 647 0.6× 2.1k 3.3× 932 1.6× 250 0.6× 127 5.7k
Pedro F. Oliveira Portugal 48 2.2k 1.5× 441 0.4× 452 0.7× 908 1.5× 541 1.2× 260 7.7k

Countries citing papers authored by Riyaz Basha

Since Specialization
Citations

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

Fields of papers citing papers by Riyaz Basha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riyaz Basha

This figure shows the co-authorship network connecting the top 25 collaborators of Riyaz Basha. A scholar is included among the top collaborators of Riyaz Basha 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 Riyaz Basha. Riyaz Basha 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.
Behera, Santosh Kumar, et al.. (2024). Docking and molecular dynamic simulations of Mithramycin-A and Tolfenamic acid against Sp1 and survivin. Process Biochemistry. 137. 207–216. 4 indexed citations
2.
Behera, Santosh Kumar, et al.. (2023). In Silico Analysis Determining the Binding Interactions of NAD(P)H: Quinone Oxidoreductase 1 and Resveratrol via Docking and Molecular Dynamic Simulations. SHILAP Revista de lepidopterología. 82(2). 280–288. 3 indexed citations
3.
Chen, Li‐Ling, et al.. (2023). Oxidative Stress and Cancer: Harnessing the Therapeutic Potential of Curcumin and Analogues Against Cancer. SHILAP Revista de lepidopterología. 82(2). 317–325. 4 indexed citations
4.
Dariya, Begum, et al.. (2023). Colorectal cancer: Genetic alterations, novel biomarkers, current therapeutic strategies and clinical trials. Gene. 892. 147857–147857. 22 indexed citations
5.
Sankpal, Umesh T., et al.. (2023). Abstract 6255: Anti-proliferative effect of two copper complexes against medulloblastoma cells. Cancer Research. 83(7_Supplement). 6255–6255. 2 indexed citations
6.
Kumar, Vimal, et al.. (2023). Restorative Rehabilitation of a Patient With Tooth Wear: A One-Year Clinical Follow-Up Report. Cureus. 15(4). e37798–e37798. 1 indexed citations
7.
Basha, Riyaz, et al.. (2022). Therapeutic Applications of Curcumin and Derivatives in Colorectal Cancer. PubMed. 9(1). 51–62. 5 indexed citations
8.
Patel, Krishna, et al.. (2020). Risk Factors for Esophageal Cancer, with an Emphasis on the Role of Specificity Protein Transcription Factors in Prognosis and Therapy. Critical Reviews™ in Oncogenesis. 25(4). 355–363. 5 indexed citations
9.
Patel, Krishna, et al.. (2019). Impact of the Microbiome on the Immune System. Critical Reviews in Immunology. 39(5). 313–328. 49 indexed citations
10.
Nair, Vijayalekshmi, Sandeep Sreevalsan, Riyaz Basha, et al.. (2014). Mechanism of Metformin-dependent Inhibition of Mammalian Target of Rapamycin (mTOR) and Ras Activity in Pancreatic Cancer. Journal of Biological Chemistry. 289(40). 27692–27701. 114 indexed citations
11.
Rahim, Rahimin Affandi Abdul, et al.. (2012). Proteomic Analysis of the Very Low Density Lipoprotein (VLDL) transport vesicles. Journal of Proteomics. 75(7). 2225–2235. 32 indexed citations
12.
Sankpal, Umesh T., Maen Abdelrahim, Chris M. Lee, et al.. (2012). Small molecule tolfenamic acid inhibits PC‐3 cell proliferation and invasion in vitro, and tumor growth in orthotopic mouse model for prostate cancer. The Prostate. 72(15). 1648–1658. 34 indexed citations
13.
Basha, Riyaz, Susan B. Ingersoll, Umesh T. Sankpal, et al.. (2011). Tolfenamic acid inhibits ovarian cancer cell growth and decreases the expression of c-Met and survivin through suppressing specificity protein transcription factors. Gynecologic Oncology. 122(1). 163–170. 48 indexed citations
14.
Maliakal, Pius, et al.. (2011). Relevance of Drug Metabolizing Enzyme Activity Modulation by Tea Polyphenols in the Inhibition of Esophageal Tumorigenesis. Medicinal Chemistry. 7(5). 480–487. 7 indexed citations
15.
Konduri, Santhi D., Jimmie Colón, Cheryl H. Baker, et al.. (2009). Tolfenamic acid enhances pancreatic cancer cell and tumor response to radiation therapy by inhibiting survivin protein expression. Molecular Cancer Therapeutics. 8(3). 533–542. 50 indexed citations
16.
Basha, Riyaz, Cheryl H. Baker, & Maen Abdelrahim. (2009). Biomarkers clinical relevance in cancer: Emphasis on breast cancer and prostate cancer. Current Trends in Biotechnology and Pharmacy. 3(1). 1–7. 1 indexed citations
17.
Colón, Jimmie, Riyaz Basha, Santhi D. Konduri, et al.. (2009). Tolfenamic acid decreases c-Met expression through Sp proteins degradation and inhibits lung cancer cells growth and tumor formation in orthotopic mice. Investigational New Drugs. 29(1). 41–51. 56 indexed citations
18.
Wu, Jinfang, Riyaz Basha, & Nasser H. Zawia. (2007). The Environment, Epigenetics and Amyloidogenesis. Journal of Molecular Neuroscience. 34(1). 1–7. 67 indexed citations
19.
Lahiri, Debomoy K., Bryan Maloney, Riyaz Basha, Yuan Ge, & Nasser Zawia. (2007). How and When Environmental Agents and Dietary Factors Affect the Course of Alzheimers Disease: The “LEARn” Model (Latent Early-Life Associated Regulation) May Explain the Triggering of AD. Current Alzheimer Research. 4(2). 219–228. 106 indexed citations
20.
Sreenivasulu, Y., et al.. (1996). Inhibitory Action of the Defensive Discharge of the Grasshopper,Poecilocerus Pictus, on Certain Enzymes in the Lizard,Calotes Nemoricola. Journal of enzyme inhibition. 11(2). 135–140. 1 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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