Vertika Rai

747 total citations · 1 hit paper
12 papers, 588 citations indexed

About

Vertika Rai is a scholar working on Periodontics, Molecular Biology and Otorhinolaryngology. According to data from OpenAlex, Vertika Rai has authored 12 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Periodontics, 4 papers in Molecular Biology and 3 papers in Otorhinolaryngology. Recurrent topics in Vertika Rai's work include Oral Health Pathology and Treatment (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Head and Neck Cancer Studies (3 papers). Vertika Rai is often cited by papers focused on Oral Health Pathology and Treatment (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Head and Neck Cancer Studies (3 papers). Vertika Rai collaborates with scholars based in India, Algeria and South Korea. Vertika Rai's co-authors include A.R. Mohanty, Chandan Chakraborty, Aurobinda Routray, Rashmi Mukherjee, Ananta K. Ghosh, Virendra Kumar, Dipankar Das, Yogesh Kisan Mali, Mukesh Soni and Haewon Byeon and has published in prestigious journals such as Mechanical Systems and Signal Processing, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy and Archives of Oral Biology.

In The Last Decade

Vertika Rai

11 papers receiving 561 citations

Hit Papers

Bearing fault diagnosis using FFT of intrinsic mode funct... 2006 2026 2012 2019 2006 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vertika Rai India 5 395 291 130 62 52 12 588
Jianyu Zhang China 11 378 1.0× 329 1.1× 106 0.8× 50 0.8× 18 0.3× 32 503
Francisco de Assis Boldt Brazil 7 347 0.9× 211 0.7× 118 0.9× 34 0.5× 9 0.2× 23 454
Zhang Dang China 11 290 0.7× 199 0.7× 132 1.0× 78 1.3× 5 0.1× 37 459
Mariano Artés Spain 6 306 0.8× 365 1.3× 160 1.2× 18 0.3× 7 0.1× 7 551
Yuqiao Zheng China 11 118 0.3× 66 0.2× 89 0.7× 127 2.0× 11 0.2× 55 376
Feibin Zhang China 11 397 1.0× 284 1.0× 123 0.9× 33 0.5× 10 0.2× 25 505
Qing Xiong China 11 276 0.7× 290 1.0× 137 1.1× 49 0.8× 16 0.3× 24 429

Countries citing papers authored by Vertika Rai

Since Specialization
Citations

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

Fields of papers citing papers by Vertika Rai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vertika Rai

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

All Works

12 of 12 papers shown
1.
Das, Dipankar, et al.. (2024). Antibiotic susceptibility profiling of Pseudomonas aeruginosa in nosocomial infection. 1–5. 12 indexed citations
2.
Rai, Vertika, et al.. (2024). Deciphering the Nanometabolomics Paradigm: Understanding the Role of Pathophysiology and Biomarkers in Predicting Oral Cancer. Journal of Maxillofacial and Oral Surgery. 1 indexed citations
4.
Rai, Vertika, et al.. (2024). Forgive and Forego? Exploring Interpersonal Forgiveness in Non-Reconciled Relationships Among Young Adults. Psychological Studies. 70(1). 46–60. 1 indexed citations
5.
Rai, Vertika, et al.. (2023). Machine Learning-Based Monitoring and Prognosis of Chronic Kidney Disease Patients. 1–6. 1 indexed citations
6.
Rai, Vertika, et al.. (2019). Evaluation of oxidative stress and the microenvironment in oral submucous fibrosis. Heliyon. 5(4). e01502–e01502. 11 indexed citations
7.
Rai, Vertika, et al.. (2018). Delineating metabolic dysfunction in cellular metabolism of oral submucous fibrosis using 1H nuclear magnetic resonance spectroscopy. Archives of Oral Biology. 97. 102–108. 4 indexed citations
8.
Rai, Vertika, et al.. (2018). Evaluation of aberrant metabolism related proteins in oral submucous fibrosis: A pilot study. Journal of Oral Biosciences. 60(4). 87–91. 2 indexed citations
9.
Rai, Vertika, et al.. (2017). Evaluating an alternative cost effective protocol to screen and detect oral pre-cancerous and cancerous lesions. International Journal of Applied Dental Sciences. 3(4). 178–184. 1 indexed citations
10.
Rai, Vertika, Rashmi Mukherjee, Ananta K. Ghosh, Aurobinda Routray, & Chandan Chakraborty. (2017). “Omics” in oral cancer: New approaches for biomarker discovery. Archives of Oral Biology. 87. 15–34. 44 indexed citations
11.
Rai, Vertika, et al.. (2017). Serum-based diagnostic prediction of oral submucous fibrosis using FTIR spectrometry. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 189. 322–329. 45 indexed citations
12.
Rai, Vertika & A.R. Mohanty. (2006). Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert–Huang transform. Mechanical Systems and Signal Processing. 21(6). 2607–2615. 466 indexed citations breakdown →

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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