V. B. Kartha

1.2k total citations
40 papers, 999 citations indexed

About

V. B. Kartha is a scholar working on Biophysics, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, V. B. Kartha has authored 40 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biophysics, 16 papers in Molecular Biology and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in V. B. Kartha's work include Spectroscopy Techniques in Biomedical and Chemical Research (19 papers), Photodynamic Therapy Research Studies (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). V. B. Kartha is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (19 papers), Photodynamic Therapy Research Studies (8 papers) and Metabolomics and Mass Spectrometry Studies (7 papers). V. B. Kartha collaborates with scholars based in India, France and Germany. V. B. Kartha's co-authors include C. Murali Krishna, Santhosh Chidangil, Ganesh D. Sockalingum, P. Uma Devi, Michel Manfait, Jacob Kurien, Lavanya Rai, Keerthilatha M. Pai, Grégory Kegelaer and Sylvain Rubin and has published in prestigious journals such as Cancer Research, International Journal of Cancer and RSC Advances.

In The Last Decade

V. B. Kartha

40 papers receiving 973 citations

Peers

V. B. Kartha
Katherine M. Ashton United Kingdom
Helen F. Stringfellow United Kingdom
Luis H. Galindo United States
Ketan Gajjar United Kingdom
Kan Lin Singapore
Maneesh N. Singh United Kingdom
Kenny Kong United Kingdom
V. B. Kartha
Citations per year, relative to V. B. Kartha V. B. Kartha (= 1×) peers Jacob Kurien

Countries citing papers authored by V. B. Kartha

Since Specialization
Citations

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

Fields of papers citing papers by V. B. Kartha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. B. Kartha. 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 V. B. Kartha. The network helps show where V. B. Kartha may publish in the future.

Co-authorship network of co-authors of V. B. Kartha

This figure shows the co-authorship network connecting the top 25 collaborators of V. B. Kartha. A scholar is included among the top collaborators of V. B. Kartha 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 V. B. Kartha. V. B. Kartha 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.
Warrier, Anish Kumar, et al.. (2024). Advances in microplastic characterization: Spectroscopic techniques and heavy metal adsorption insights. TrAC Trends in Analytical Chemistry. 183. 118111–118111. 17 indexed citations
2.
Pai, Keerthilatha M., et al.. (2023). Protein profile pattern analysis: A multifarious, in vitro diagnosis technique for universal screening. Journal of Chromatography B. 1232. 123944–123944. 5 indexed citations
3.
Lukose, Jijo, et al.. (2023). Laser induced fluorescence spectroscopy analysis of kidney tissues: A pilot study for the identification of renal cell carcinoma. Journal of Biophotonics. 16(11). e202300021–e202300021. 1 indexed citations
4.
Devasia, Tom, et al.. (2023). Serum protein profile study of myocardial infarction using a LED induced fluorescence based HPLC system. Journal of Chromatography B. 1217. 123616–123616. 9 indexed citations
5.
Lukose, Jijo, et al.. (2022). Cardiovascular biomarkers in body fluids: progress and prospects in optical sensors. Biophysical Reviews. 14(4). 1023–1050. 24 indexed citations
6.
Pai, Keerthilatha M., et al.. (2021). Photonics of human saliva: potential optical methods for the screening of abnormal health conditions and infections. Biophysical Reviews. 13(3). 359–385. 13 indexed citations
7.
Lukose, Jijo, et al.. (2021). Development of a spectroscopic technique that enables the saliva based detection of COVID-19 at safe distances. Results in Chemistry. 3. 100210–100210. 5 indexed citations
8.
George, Sajan D., et al.. (2021). Human tear fluid analysis for clinical applications: progress and prospects. Expert Review of Molecular Diagnostics. 21(8). 767–787. 23 indexed citations
9.
Pai, Keerthilatha M., et al.. (2015). Ultra-sensitive high performance liquid chromatography–laser-induced fluorescence based proteomics for clinical applications. Journal of Proteomics. 127(Pt A). 202–210. 9 indexed citations
10.
Bhat, G. Subraya, V. B. Kartha, Lavanya Rai, & Santhosh Chidangil. (2014). A Comparison of Protein Profiles of Cervical Tissue Homogenate, Exfoliated Cells from Cervix and Serum in Normal and Cervical Malignancy Conditions. Journal of Chromatographic Science. 53(1). 167–176. 5 indexed citations
11.
Choudhari, K.S., V. K. Unnikrishnan, Nandita Shenoy, et al.. (2013). Salivary protein markers: a noninvasive protein profile-based method for the early diagnosis of oral premalignancy and malignancy. Journal of Biomedical Optics. 18(10). 101317–101317. 19 indexed citations
12.
Rai, Lavanya, et al.. (2010). Protein profile analysis of cellular samples from the cervix for the objective diagnosis of cervical cancer using HPLC-LIF. Journal of Chromatography B. 878(31). 3225–3230. 17 indexed citations
13.
Prabhu, V.K., K.S. Choudhari, V. K. Unnikrishnan, et al.. (2010). Evaluation of high-performance liquid chromatography laser-induced fluorescence for serum protein profiling for early diagnosis of oral cancer. Journal of Biomedical Optics. 15(6). 67007–67007. 20 indexed citations
14.
Rai, Lavanya, et al.. (2008). Serum protein profile study of normal and cervical cancer subjects by high performance liquid chromatography with laser-induced fluorescence. Journal of Biomedical Optics. 13(5). 54062–54062. 18 indexed citations
15.
Bhat, Rani Akhil, Krishna Kishore Mahato, Sudha D. Kamath, Satadru Ray, & V. B. Kartha. (2006). Photoacoustic spectroscopic studies of ovarian tissue in different pathological conditions: Classification using cluster analysis. Cancer Research. 66. 840–841. 2 indexed citations
16.
Satyamoorthy, Kapaettu, et al.. (2006). Optical diagnosis of cervical cancer by fluorescence spectroscopy technique. International Journal of Cancer. 119(1). 139–145. 46 indexed citations
17.
Krishna, C. Murali, Grégory Kegelaer, Isabelle Adt, et al.. (2006). Combined Fourier transform infrared and Raman spectroscopic approach for identification of multidrug resistance phenotype in cancer cell lines. Biopolymers. 82(5). 462–470. 59 indexed citations
18.
Venkatakrishna, K, V. B. Kartha, Keerthilatha M. Pai, et al.. (2003). HPLC-LIF for early detection of oral cancer. Current Science. 84(4). 551–557. 38 indexed citations
19.
Krishna, C. Murali, et al.. (2003). Autofluorescence of oral tissue for optical pathology in oral malignancy. Journal of Photochemistry and Photobiology B Biology. 73(1-2). 49–58. 44 indexed citations
20.
Kartha, V. B., et al.. (2002). Tissue Raman Spectroscopy for the Study of Radiation Damage: Brain Irradiation of Mice. Radiation Research. 157(2). 175–182. 207 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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