Paramita Ray

599 total citations
26 papers, 455 citations indexed

About

Paramita Ray is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Paramita Ray has authored 26 papers receiving a total of 455 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Paramita Ray's work include Cancer-related Molecular Pathways (7 papers), Lung Cancer Treatments and Mutations (4 papers) and MicroRNA in disease regulation (3 papers). Paramita Ray is often cited by papers focused on Cancer-related Molecular Pathways (7 papers), Lung Cancer Treatments and Mutations (4 papers) and MicroRNA in disease regulation (3 papers). Paramita Ray collaborates with scholars based in India, Saudi Arabia and United States. Paramita Ray's co-authors include Alpana Saxena, Rashid Mir, Jamsheed Javid, Mariyam Zuberi, Bidhan Chandra Koner, RC Jiloha, Sudha Prasad, Joydeep Das, Shiekh Tanveer Ahmad and Gauri Gandhi and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, Annals of Emergency Medicine and Molecular Cancer Research.

In The Last Decade

Paramita Ray

22 papers receiving 448 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paramita Ray India 10 258 185 105 48 31 26 455
Anna M. Jansen Netherlands 11 168 0.7× 139 0.8× 65 0.6× 81 1.7× 34 1.1× 12 565
Yutao Gao China 10 194 0.8× 118 0.6× 51 0.5× 66 1.4× 51 1.6× 18 358
Marcy E. Richardson United States 14 558 2.2× 84 0.5× 65 0.6× 49 1.0× 37 1.2× 35 762
Jozef Višňovský Slovakia 12 152 0.6× 66 0.4× 74 0.7× 81 1.7× 42 1.4× 47 384
Mary M. Gallenberg United States 6 154 0.6× 82 0.4× 101 1.0× 131 2.7× 18 0.6× 12 355
Ningxia Sun China 13 261 1.0× 189 1.0× 80 0.8× 20 0.4× 12 0.4× 34 490
Constanze Banz‐Jansen Germany 11 105 0.4× 78 0.4× 72 0.7× 115 2.4× 26 0.8× 26 346
Anyu Bao China 13 117 0.5× 65 0.4× 42 0.4× 34 0.7× 56 1.8× 24 349
Sabine Preisler-Adams Germany 10 276 1.1× 216 1.2× 39 0.4× 145 3.0× 49 1.6× 16 687
Sarah J. Hainer United States 17 882 3.4× 152 0.8× 51 0.5× 22 0.5× 31 1.0× 36 1.1k

Countries citing papers authored by Paramita Ray

Since Specialization
Citations

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

Fields of papers citing papers by Paramita Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paramita Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Paramita Ray. A scholar is included among the top collaborators of Paramita Ray 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 Paramita Ray. Paramita Ray 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.
Ray, Paramita, Shirish Shukla, Yaqing Zhang, et al.. (2025). SMURF2 Facilitates GAP17 Isoform 1 Membrane Displacement to Promote Mutant p53–KRAS Oncogenic Synergy. Molecular Cancer Research. 23(6). 530–541.
2.
Ray, Paramita, Sangeeta Jaiswal, Daysha Ferrer-Torres, et al.. (2024). GRAIL1 Stabilizes Misfolded Mutant p53 through a Ubiquitin Ligase-Independent, Chaperone Regulatory Function. Molecular Cancer Research. 22(11). 996–1010.
3.
Ray, D., S. Jolly, David Karnak, et al.. (2020). Predicting Radiation Pneumonitis Using Plasma Biomarkers Related to TNFα-NFκB Pathway. International Journal of Radiation Oncology*Biology*Physics. 108(3). e570–e570. 1 indexed citations
4.
Jain, Shyama, et al.. (2016). Serum microRNA-21 expression as a prognostic and therapeutic biomarker for breast cancer patients. Tumor Biology. 37(11). 15275–15282. 39 indexed citations
5.
6.
Mir, Rashid, et al.. (2015). Potential impact of (rs 4645878) BAX promoter −248G>A and (rs 1042522) TP53 72Arg>pro polymorphisms on epithelial ovarian cancer patients. Clinical & Translational Oncology. 18(1). 73–81. 9 indexed citations
7.
Javid, Jamsheed, et al.. (2015). Extracellular cytochrome c as a biomarker for monitoring therapeutic efficacy and prognosis of non-small cell lung cancer patients. Tumor Biology. 36(6). 4253–4260. 35 indexed citations
8.
Mir, Rashid, Jamsheed Javid, Zahula Mariyam, et al.. (2015). Cell Free EGFR mRNA Expression and Implications for Survival and Metastasis in Non-Small Cell Lung Cancer Cases. Asian Pacific Journal of Cancer Prevention. 16(15). 6445–6449. 8 indexed citations
9.
Javid, Jamsheed, Rashid Mir, P.K. Julka, Paramita Ray, & Alpana Saxena. (2015). Role of survivin re-expression in the development and progression of non-small cell lung cancer. Tumor Biology. 36(7). 5543–5550. 9 indexed citations
10.
Javid, Jamsheed, Rashid Mir, Zahula Mariyam, et al.. (2015). Clinical Implication of EGF A61G Polymorphism in the Risk of Non Small Cell Lung Adenocarcinoma Patients: A Case Control Study. Asian Pacific Journal of Cancer Prevention. 16(17). 7529–7534. 7 indexed citations
11.
Javid, Jamsheed, et al.. (2015). Association of p53 and mdm2 in the development and progression of non-small cell lung cancer. Tumor Biology. 36(7). 5425–5432. 17 indexed citations
12.
Mir, Rashid, Jamsheed Javid, Istaq Ahmad, et al.. (2015). Clinical significance of TP53 (R72P) and MDM2 (T309G) polymorphisms in breast cancer patients. Clinical & Translational Oncology. 18(7). 728–734. 10 indexed citations
13.
Javid, Jamsheed, Rashid Mir, Zahula Mariyam, et al.. (2015). Clinical Significance of the NQO1 C609T Polymorphism in Non Small Cell Lung Adenocarcinoma Patients. Asian Pacific Journal of Cancer Prevention. 16(17). 7653–7658. 2 indexed citations
14.
Gandhi, Gauri, et al.. (2015). Does vitamin D mediate inhibition of epithelial ovarian cancer by modulating cytokines?. Clinical & Translational Oncology. 17(8). 590–595. 5 indexed citations
15.
Javid, Jamsheed, Rashid Mir, Zahula Mariyam, et al.. (2015). Prognostic significance of serum ERBB3 and ERBB4 mRNA in lung adenocarcinoma patients. Tumor Biology. 37(1). 857–863. 6 indexed citations
16.
Zuberi, Mariyam, Rashid Mir, Joydeep Das, et al.. (2015). Expression of serum miR-200a, miR-200b, and miR-200c as candidate biomarkers in epithelial ovarian cancer and their association with clinicopathological features. Clinical & Translational Oncology. 17(10). 779–787. 116 indexed citations
17.
Javid, Jamsheed, Rashid Mir, Zahula Mariyam, et al.. (2014). CC genotype of anti-apoptotic gene BCL-2 (−938 C/A) is an independent prognostic marker of unfavorable clinical outcome in patients with non-small-cell lung cancer. Clinical & Translational Oncology. 17(4). 289–295. 9 indexed citations
18.
Bokobza, J., et al.. (2013). D-dimer Testing in PERC Negative Patients for the Diagnosis of Pulmonary Embolism. Annals of Emergency Medicine. 62(4). S23–S23.
19.
Das, Nabajit, et al.. (2009). Status of Bengal Slow Loris Nycticebus bengalensis (Primates: Lorisidae) in Gibbon Wildlife Sanctuary, Assam, India. Journal of Threatened Taxa. 1(11). 558–561. 13 indexed citations
20.
Pujol, Jean-Louis, et al.. (1993). [CYFRA 21-1: a new marker of epidermoid cancer of the bronchi. Comparison with 3 other markers].. PubMed. 22(22). 1039–42. 5 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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