Gh. Rasool Bhat

468 total citations · 1 hit paper
23 papers, 261 citations indexed

About

Gh. Rasool Bhat is a scholar working on Molecular Biology, Oncology and Physiology. According to data from OpenAlex, Gh. Rasool Bhat has authored 23 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Physiology. Recurrent topics in Gh. Rasool Bhat's work include RNA modifications and cancer (6 papers), Telomeres, Telomerase, and Senescence (6 papers) and DNA Repair Mechanisms (4 papers). Gh. Rasool Bhat is often cited by papers focused on RNA modifications and cancer (6 papers), Telomeres, Telomerase, and Senescence (6 papers) and DNA Repair Mechanisms (4 papers). Gh. Rasool Bhat collaborates with scholars based in India, United States and Qatar. Gh. Rasool Bhat's co-authors include Rakesh Kumar, Bilal Rah, Hana Q. Sadida, Ekta Rai, Muzafar A. Macha, Ibrahim Altedlawi Albalawi, Farrukh Jamal, Swarkar Sharma, Shahab Uddin and Mayank Singh and has published in prestigious journals such as Scientific Reports, Gene and International Journal of Environmental Research and Public Health.

In The Last Decade

Gh. Rasool Bhat

22 papers receiving 260 citations

Hit Papers

Cancer cell plasticity: from cellular, molecular, and gen... 2024 2026 2025 2024 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gh. Rasool Bhat India 9 141 49 45 45 21 23 261
Filipa Ponte Portugal 8 179 1.3× 45 0.9× 70 1.6× 34 0.8× 20 1.0× 15 285
Shuya Sun China 11 192 1.4× 65 1.3× 68 1.5× 20 0.4× 35 1.7× 20 324
Martyna Pakuła Poland 10 143 1.0× 57 1.2× 91 2.0× 62 1.4× 8 0.4× 15 289
Céline Franckhauser France 7 294 2.1× 28 0.6× 62 1.4× 20 0.4× 27 1.3× 12 355
Qingtao Yan China 11 211 1.5× 67 1.4× 78 1.7× 61 1.4× 31 1.5× 20 339
Ali Dadbin United States 8 192 1.4× 73 1.5× 98 2.2× 61 1.4× 16 0.8× 10 355
Zhenzhen Zi United States 6 110 0.8× 24 0.5× 35 0.8× 25 0.6× 21 1.0× 6 232
Adam K. Willson United States 5 210 1.5× 173 3.5× 46 1.0× 15 0.3× 14 0.7× 8 325
John Tat United States 6 188 1.3× 18 0.4× 48 1.1× 29 0.6× 10 0.5× 17 305
Nikolai D. Aksenov Russia 10 244 1.7× 56 1.1× 84 1.9× 52 1.2× 25 1.2× 14 338

Countries citing papers authored by Gh. Rasool Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Gh. Rasool Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gh. Rasool Bhat. 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 Gh. Rasool Bhat. The network helps show where Gh. Rasool Bhat may publish in the future.

Co-authorship network of co-authors of Gh. Rasool Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Gh. Rasool Bhat. A scholar is included among the top collaborators of Gh. Rasool Bhat 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 Gh. Rasool Bhat. Gh. Rasool Bhat 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
2.
Bhat, Gh. Rasool, Hana Q. Sadida, Bilal Rah, et al.. (2024). Cancer cell plasticity: from cellular, molecular, and genetic mechanisms to tumor heterogeneity and drug resistance. Cancer and Metastasis Reviews. 43(1). 197–228. 102 indexed citations breakdown →
3.
4.
Verma, Sonali, et al.. (2023). Genetic analysis of polymorphism rs10937405 of TP63 gene in breast and ovarian cancer patients of North Indian Cohort. Journal of Cancer Research and Therapeutics. 19(2). 214–217. 2 indexed citations
5.
Alnuqaydan, Abdullah M., Abdulmajeed G. Almutary, Gh. Rasool Bhat, et al.. (2022). Evaluation of the Cytotoxic, Anti-Inflammatory, and Immunomodulatory Effects of Withaferin A (WA) against Lipopolysaccharide (LPS)-Induced Inflammation in Immune Cells Derived from BALB/c Mice. Pharmaceutics. 14(6). 1256–1256. 15 indexed citations
6.
Bhat, Gh. Rasool, et al.. (2022). Innovative in Silico Approaches for Characterization of Genes and Proteins. Frontiers in Genetics. 13. 865182–865182. 15 indexed citations
7.
Verma, Sonali, et al.. (2022). Role of genetic, environmental, and hormonal factors in the progression of PCOS: A review. 3. 3–3. 13 indexed citations
8.
Bhat, Gh. Rasool, Sonali Verma, Bhawani Shankar Sharma, et al.. (2021). REV3L single nucleotide variants lead to increased susceptibility towards non-small cell lung cancer in the population of Jammu and Kashmir. Cancer Epidemiology. 75. 102047–102047. 3 indexed citations
9.
Katoch, Archana, Souneek Chakraborty, Bhanu Sharma, et al.. (2021). ANKLE1 as New Hotspot Mutation for Breast Cancer in Indian Population and Has a Role in DNA Damage and Repair in Mammalian Cells. Frontiers in Genetics. 11. 609758–609758. 5 indexed citations
10.
Bhat, Gh. Rasool, et al.. (2021). Genetic evaluation of the variants using MassARRAY in non-small cell lung cancer among North Indians. Scientific Reports. 11(1). 11291–11291. 5 indexed citations
11.
Bhat, Gh. Rasool, et al.. (2021). Evaluation of 17 genetic variants in association with leukemia in the north Indian population using MassARRAY Sequenom. Journal of Biochemical and Molecular Toxicology. 35(7). e22792–e22792. 2 indexed citations
12.
Bhat, Gh. Rasool, et al.. (2020). Dual labeled fluorescence probe based qPCR assay to measure the telomere length. Gene. 767. 145178–145178. 3 indexed citations
13.
Verma, Sonali, Indu Sharma, Varun Sharma, et al.. (2020). MassArray analysis of genomic susceptibility variants in ovarian cancer. Scientific Reports. 10(1). 21101–21101. 2 indexed citations
14.
Sharma, Varun, Indu Sharma, Bhanu Sharma, et al.. (2020). MassARRAY-based single nucleotide polymorphism analysis in breast cancer of north Indian population. BMC Cancer. 20(1). 861–861. 8 indexed citations
15.
Sharma, Varun, Indu Sharma, Sonali Verma, et al.. (2020). MassARRAY analysis of twelve cancer related SNPs in esophageal squamous cell carcinoma in J&K, India. BMC Cancer. 20(1). 497–497. 10 indexed citations
16.
Bhat, Gh. Rasool, et al.. (2020). Genetic variant rs2494938 of LRFN2 gene is associated with non-small cell lung cancer risk in North-Indian population. 3 Biotech. 10(9). 410–410. 1 indexed citations
17.
Sharma, Varun, Indu Sharma, Gurvinder Singh, et al.. (2020). Telomere Maintenance Genes are associated with Type 2 Diabetes Susceptibility in Northwest Indian Population Group. Scientific Reports. 10(1). 6444–6444. 13 indexed citations
18.
Bhat, Gh. Rasool, Sonali Verma, Varun Sharma, et al.. (2019). Association of ARID5B and IKZF1 Variants with Leukemia from Northern India. Genetic Testing and Molecular Biomarkers. 23(3). 176–179. 9 indexed citations
19.
Bhat, Gh. Rasool, Sonali Verma, Varun Sharma, et al.. (2019). Association of newly identified genetic variant rs2853677 of TERT with non-small cell lung cancer and leukemia in population of Jammu and Kashmir, India. BMC Cancer. 19(1). 493–493. 11 indexed citations
20.
Bhat, Gh. Rasool, Rakesh Kumar, A.J.S. Bhanwer, et al.. (2016). Role of telomeres and associated maintenance genes in Type 2 Diabetes Mellitus: A review. Diabetes Research and Clinical Practice. 122. 92–100. 29 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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