Jay Gopal Ray

904 total citations
35 papers, 628 citations indexed

About

Jay Gopal Ray is a scholar working on Periodontics, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Jay Gopal Ray has authored 35 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Periodontics, 11 papers in Molecular Biology and 9 papers in Otorhinolaryngology. Recurrent topics in Jay Gopal Ray's work include Oral Health Pathology and Treatment (19 papers), Head and Neck Cancer Studies (9 papers) and Oral and Maxillofacial Pathology (8 papers). Jay Gopal Ray is often cited by papers focused on Oral Health Pathology and Treatment (19 papers), Head and Neck Cancer Studies (9 papers) and Oral and Maxillofacial Pathology (8 papers). Jay Gopal Ray collaborates with scholars based in India, United States and Saudi Arabia. Jay Gopal Ray's co-authors include Raghunath Chatterjee, Amit Chattopadhyay, Keya Chaudhuri, Kannan Ranganathan, Shalini Datta, Daniel J. Caplan, Atul Katarkar, Sanjit Mukherjee, Sayantan Laha and К. Ray Chaudhuri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Cellular Biochemistry and Periodontology 2000.

In The Last Decade

Jay Gopal Ray

29 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Gopal Ray India 12 317 250 174 150 148 35 628
Bruno Augusto Linhares Almeida Mariz Brazil 13 84 0.3× 104 0.4× 47 0.3× 72 0.5× 87 0.6× 43 402
Massimo Maffei Italy 13 62 0.2× 157 0.6× 51 0.3× 36 0.2× 27 0.2× 36 449
Mushfiq Hassan Shaikh Canada 12 43 0.1× 133 0.5× 69 0.4× 110 0.7× 6 0.0× 32 378
G. Martinez Brazil 10 90 0.3× 51 0.2× 18 0.1× 60 0.4× 14 0.1× 15 395
Zeni Wu China 13 56 0.2× 211 0.8× 71 0.4× 18 0.1× 6 0.0× 38 513
Kenji Hisamatsu Japan 9 18 0.1× 165 0.7× 83 0.5× 77 0.5× 4 0.0× 15 426
Saumya Shukla India 11 16 0.1× 74 0.3× 46 0.3× 67 0.4× 7 0.0× 58 383
Yan-Feng Chen China 10 18 0.1× 62 0.2× 37 0.2× 69 0.5× 7 0.0× 13 309
Araceli Valverde United States 12 31 0.1× 216 0.9× 181 1.0× 2 0.0× 64 0.4× 28 534
Naoko Ishida Japan 14 38 0.1× 148 0.6× 75 0.4× 3 0.0× 17 0.1× 39 515

Countries citing papers authored by Jay Gopal Ray

Since Specialization
Citations

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

Fields of papers citing papers by Jay Gopal Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Gopal Ray

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Gopal Ray. A scholar is included among the top collaborators of Jay Gopal 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 Jay Gopal Ray. Jay Gopal 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.
Aravindan, Sheeja, et al.. (2025). Solitary Fibrous Tumor of the Oral Cavity: A Rare Entity with Immunohistochemical Profiling. Indian Journal of Otolaryngology and Head & Neck Surgery. 77(8). 3239–3242.
2.
Ray, Jay Gopal, et al.. (2024). A brief insight regarding Nasopalatine duct cyst- Report of two cases with a review of literature. Journal of Oral and Maxillofacial Pathology. 28(3). 483–487.
3.
4.
Ray, Jay Gopal, et al.. (2023). MiRNAs as non-invasive biomarkers in the serum of Oral Squamous Cell Carcinoma (OSCC) and Oral Potentially Malignant Disorder (OPMD) patients. Archives of Oral Biology. 147. 105627–105627. 7 indexed citations
5.
Ray, Jay Gopal, et al.. (2023). Corpus alienum (foreign body) embedded in the oral cavity of children: An agony of parents and diagnostic dilemma among clinicians. Journal of Oral and Maxillofacial Pathology. 27(4). 765–767. 1 indexed citations
6.
Subbannayya, Yashwanth, Shankargouda Patil, Vinuth N. Puttamallesh, et al.. (2021). Molecular alterations in oral cancer using high-throughput proteomic analysis of formalin-fixed paraffin-embedded tissue. Journal of Cell Communication and Signaling. 15(3). 447–459. 11 indexed citations
7.
Patel, Krishna, Firdous Ahmad Bhat, Shankargouda Patil, et al.. (2021). Whole-Exome Sequencing Analysis of Oral Squamous Cell Carcinoma Delineated by Tobacco Usage Habits. Frontiers in Oncology. 11. 660696–660696. 21 indexed citations
8.
Babu, Niraj, Vishalakshi Nanjappa, Sandip Chavan, et al.. (2018). Identification of potential biomarkers of head and neck squamous cell carcinoma using iTRAQ based quantitative proteomic approach. Data in Brief. 19. 1124–1130. 7 indexed citations
9.
Katarkar, Atul, Chandraday Prodhan, Sanjit Mukherjee, Jay Gopal Ray, & Keya Chaudhuri. (2018). Role of matrix metalloproteinase-9 polymorphisms in basement membrane degradation and pathogenesis of oral submucous fibrosis. Meta Gene. 16. 255–263. 7 indexed citations
10.
Chakraborty, Joyeeta, Aditi Chandra, Atul Katarkar, et al.. (2017). Genome-wide DNA methylation profile identified a unique set of differentially methylated immune genes in oral squamous cell carcinoma patients in India. Clinical Epigenetics. 9(1). 13–13. 50 indexed citations
11.
Chattopadhyay, Amit & Jay Gopal Ray. (2016). Molecular Pathology of Malignant Transformation of Oral Submucous Fibrosis. Journal of Environmental Pathology Toxicology and Oncology. 35(3). 193–205. 27 indexed citations
12.
Ray, Jay Gopal, Kannan Ranganathan, & Amit Chattopadhyay. (2016). Malignant transformation of oral submucous fibrosis: overview of histopathological aspects. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 122(2). 200–209. 73 indexed citations
13.
Sharma, Parikshit S., et al.. (2015). Oral Hygiene Status of Cancer and Non Cancer Patients -A Hospital Based Study. Journal of oral medicine. 1(2). 57–59.
14.
15.
Swain, Niharika & Jay Gopal Ray. (2011). Altered Trace Element Level and Antioxidant Activity in whole blood of Oral Leukoplakia and Cancer patients in comparison with healthy controls. 2(2). 2–6. 11 indexed citations
16.
Mukherjee, Sanjit, et al.. (2011). Association of XRCC1, XRCC3, and NAT2 polymorphisms with the risk of oral submucous fibrosis among eastern Indian population. Journal of Oral Pathology and Medicine. 41(4). 292–302. 15 indexed citations
17.
Majumder, Mousumi, et al.. (2009). Variant haplotypes atXRCC1and risk of oral leukoplakia in HPV non‐infected samples. Journal of Oral Pathology and Medicine. 38(2). 174–180. 11 indexed citations
18.
Chattopadhyay, Amit & Jay Gopal Ray. (2007). AgNOR cut‐point to distinguish mild and moderate epithelial dysplasia. Journal of Oral Pathology and Medicine. 37(2). 78–82. 11 indexed citations
19.
Ray, Jay Gopal, Amit Chattopadhyay, & Daniel J. Caplan. (2003). Usefulness of AgNOR counts in diagnosing epithelial dysplasia. Journal of Oral Pathology and Medicine. 32(2). 71–76. 21 indexed citations
20.
Chattopadhyay, Amit, Jay Gopal Ray, & Daniel J. Caplan. (2002). AgNOR count as objective marker for dysplastic features in oral leukoplakia. Journal of Oral Pathology and Medicine. 31(9). 512–517. 24 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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