Ruma Ray

579 total citations
16 papers, 499 citations indexed

About

Ruma Ray is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Complementary and alternative medicine. According to data from OpenAlex, Ruma Ray has authored 16 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Complementary and alternative medicine. Recurrent topics in Ruma Ray's work include Cardiac Ischemia and Reperfusion (4 papers), Advanced Glycation End Products research (3 papers) and NF-κB Signaling Pathways (3 papers). Ruma Ray is often cited by papers focused on Cardiac Ischemia and Reperfusion (4 papers), Advanced Glycation End Products research (3 papers) and NF-κB Signaling Pathways (3 papers). Ruma Ray collaborates with scholars based in India, United Arab Emirates and United States. Ruma Ray's co-authors include Tapas Chandra Nag, Dharamvir Singh Arya, Neha Rani, Jagriti Bhatia, Saurabh Bharti, Moganty R. Rajeswari, Ashok Sharma, Santosh Kumari, Dharamvir Singh Arya and Sandeep Seth and has published in prestigious journals such as PLoS ONE, Cancer Letters and Oxidative Medicine and Cellular Longevity.

In The Last Decade

Ruma Ray

16 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruma Ray India 12 190 91 81 65 64 16 499
Meihua Yan China 16 317 1.7× 97 1.1× 51 0.6× 72 1.1× 68 1.1× 35 768
Kirtikar Shukla United States 16 211 1.1× 59 0.6× 53 0.7× 49 0.8× 41 0.6× 29 570
Liuyi Dong China 16 306 1.6× 119 1.3× 107 1.3× 38 0.6× 71 1.1× 26 692
Dongyan Gao China 15 368 1.9× 125 1.4× 83 1.0× 36 0.6× 47 0.7× 21 771
Guoguang Wang China 14 235 1.2× 45 0.5× 41 0.5× 48 0.7× 53 0.8× 29 637
Yongpan Huang China 15 258 1.4× 48 0.5× 75 0.9× 71 1.1× 71 1.1× 28 617
Guozhu Han China 13 294 1.5× 51 0.6× 60 0.7× 25 0.4× 38 0.6× 33 610
Yu Mi Ha South Korea 17 378 2.0× 126 1.4× 123 1.5× 53 0.8× 116 1.8× 22 783
Abdel‐Aziz H. Abdel‐Aziz Egypt 15 255 1.3× 49 0.5× 75 0.9× 62 1.0× 31 0.5× 23 709
Marwa M. Khalaf Egypt 14 235 1.2× 73 0.8× 212 2.6× 70 1.1× 79 1.2× 42 714

Countries citing papers authored by Ruma Ray

Since Specialization
Citations

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

Fields of papers citing papers by Ruma Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruma Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Ruma Ray. A scholar is included among the top collaborators of Ruma 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 Ruma Ray. Ruma Ray is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Verma, Vipin Kumar, Salma Malik, Ruma Ray, et al.. (2024). Abatacept: A Promising Repurposed Solution for Myocardial Infarction-Induced Inflammation in Rat Models. Oxidative Medicine and Cellular Longevity. 2024. 1–22. 1 indexed citations
2.
Khan, Sana Irfan, Rajiv Malhotra, Manoj Kumar, et al.. (2021). Cardioprotective effects of azilsartan compared with that of telmisartan on an in vivo model of myocardial ischemia‐reperfusion injury. Journal of Biochemical and Molecular Toxicology. 35(7). e22785–e22785. 7 indexed citations
3.
Verma, Vipin Kumar, et al.. (2020). Erdosteine salvages cardiac necrosis: Novel effect through modulation of MAPK and Nrf‐2/HO‐1 pathway. Journal of Biochemical and Molecular Toxicology. 34(12). e22590–e22590. 4 indexed citations
4.
Malhotra, Rajiv, Sana Irfan Khan, Vishwajeet Singh, et al.. (2018). Fisetin attenuates isoproterenol-induced cardiac ischemic injury in vivo by suppressing RAGE/NF-κB mediated oxidative stress, apoptosis and inflammation. Phytomedicine. 56. 147–155. 41 indexed citations
5.
Khan, Sana Irfan, Rajiv Malhotra, Neha Rani, et al.. (2017). Febuxostat Modulates MAPK/NF‐κBp65/TNF‐α Signaling in Cardiac Ischemia‐Reperfusion Injury. Oxidative Medicine and Cellular Longevity. 2017(1). 8095825–8095825. 39 indexed citations
6.
Rani, Neha, Saurabh Bharti, Jagriti Bhatia, et al.. (2016). Chrysin, a PPAR-γ agonist improves myocardial injury in diabetic rats through inhibiting AGE-RAGE mediated oxidative stress and inflammation. Chemico-Biological Interactions. 250. 59–67. 94 indexed citations
7.
Rani, Neha, Saurabh Bharti, Jagriti Bhatia, et al.. (2015). Inhibition of TGF-β by a novel PPAR-γ agonist, chrysin, salvages β-receptor stimulated myocardial injury in rats through MAPKs-dependent mechanism. Nutrition & Metabolism. 12(1). 11–11. 28 indexed citations
8.
Ray, Ruma, et al.. (2013). Acute oral toxicity and histopathological study of combination of endosulfan and cypermethrin in wistar rats. Toxicology International. 20(1). 61–61. 22 indexed citations
9.
Rani, Neha, Saurabh Bharti, Tapas Chandra Nag, et al.. (2013). Regulation of Heat Shock Proteins 27 and 70, p-Akt/p-eNOS and MAPKs by Naringin Dampens Myocardial Injury and Dysfunction In Vivo after Ischemia/Reperfusion. PLoS ONE. 8(12). e82577–e82577. 49 indexed citations
10.
Tanwar, Vineeta, Mahaveer Golechha, Tapas Chandra Nag, et al.. (2010). Crocus sativus L. (saffron) attenuates isoproterenol-induced myocardial injury via preserving cardiac functions and strengthening antioxidant defense system. Experimental and Toxicologic Pathology. 64(6). 557–564. 41 indexed citations
11.
Sharma, Ashok, Ruma Ray, & Moganty R. Rajeswari. (2010). High-Mobility Group A1 (HMGA1) Protein Expression Correlates With Cisplatin-Induced Cell Death in Squamous Cell Carcinoma of Skin. Cancer Investigation. 28(4). 340–349. 6 indexed citations
12.
Kumar, Santosh, et al.. (2009). Catecholamine-induced myocardial fibrosis and oxidative stress is attenuated by <I>Terminalia arjuna</I> (Roxb.). Journal of Pharmacy and Pharmacology. 61(11). 1529–1536. 48 indexed citations
13.
Tanwar, Vineeta, et al.. (2009). Dose‐dependent actions of curcumin in experimentally induced myocardial necrosis: a biochemical, histopathological, and electron microscopic evidence. Cell Biochemistry and Function. 28(1). 74–82. 32 indexed citations
14.
Kumar, Santosh, et al.. (2009). Catecholamine-induced myocardial fibrosis and oxidative stress is attenuated by Terminalia arjuna (Roxb.). Journal of Pharmacy and Pharmacology. 61(11). 1529–1536. 27 indexed citations
15.
Sharma, Ashok, Ruma Ray, & Moganty R. Rajeswari. (2008). Overexpression of High Mobility Group (HMG) B1 and B2 Proteins Directly Correlates with the Progression of Squamous Cell Carcinoma in Skin. Cancer Investigation. 26(8). 843–851. 45 indexed citations
16.
Rajeswari, Moganty R., Dinesh Kumar Singh, Aklank Jain, & Ruma Ray. (2001). Elevated levels of high-mobility-group chromosomal proteins, HMGA1, in murine skin carcinoma. Cancer Letters. 173(1). 93–99. 15 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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