R
Rajkumar Krishnan
Researcher at SRM University
Publications - 27
Citations - 109
Rajkumar Krishnan is an academic researcher from SRM University. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 3, co-authored 11 publications receiving 68 citations.
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Journal ArticleDOI
Association of serum and salivary tumor necrosis factor-α with histological grading in oral cancer and its role in differentiating premalignant and malignant oral disease.
Rajkumar Krishnan,Dinesh Kumar Thayalan,Rajashree Padmanaban,Ramya Ramadas,Ramesh Kumar Annasamy,Nirmala Anandan +5 more
TL;DR: Salivary TNF-α is proved to be superior for detecting oral squamous cell carcinoma and increase in T NF-α with histological grading and clinical staging suggests a role in prognosis.
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Salivary Metabolomics for Oral Cancer Detection: A Narrative Review
TL;DR: The prevalence, epidemiologic characteristics, and risk factors of oral cancers, as well as the currently available screening programs, in India and Japan, imply that the development of biomarkers by itself is inadequate in cancer detection.
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Oral pemphigus vulgaris: A case report with direct immunofluorescence study
TL;DR: A case of PV with only oral manifestations in a 36-year-old male is reported, suggesting that the presence of autoantibodies is consistent with an autoimmune disease.
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Estimation of Salivary 8-Hydroxydeoxyguanosine (8-OHdG) as a Potential Biomarker in Assessing Progression towards Malignancy: A Case-Control Study.
TL;DR: There were significant differences in the concentration of salivary 8-OHdG between healthy controls, OSMF, and OSCC patients, and this level can be used as a novel biomarker of DNA damage to assess disease progression.
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C-deletion in exon 4 codon 63 of p53 gene as a molecular marker for oral squamous cell carcinoma: A preliminary study.
Hemani Sukhija,Rajkumar Krishnan,N Balachander,Karthik Raghavendhar,Ramya Ramadoss,Sukanta Sen +5 more
TL;DR: It is suggested that detection of mutation in exon 4 codon 63 of p53 by PCR is a fast, reliable, accurate, and sensitive molecular method for OSCC diagnosis.