Madhuri Jayathirtha

1.1k total citations
24 papers, 702 citations indexed

About

Madhuri Jayathirtha is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Madhuri Jayathirtha has authored 24 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Spectroscopy and 3 papers in Oncology. Recurrent topics in Madhuri Jayathirtha's work include Mass Spectrometry Techniques and Applications (10 papers), Advanced Proteomics Techniques and Applications (9 papers) and RNA modifications and cancer (6 papers). Madhuri Jayathirtha is often cited by papers focused on Mass Spectrometry Techniques and Applications (10 papers), Advanced Proteomics Techniques and Applications (9 papers) and RNA modifications and cancer (6 papers). Madhuri Jayathirtha collaborates with scholars based in United States, Romania and India. Madhuri Jayathirtha's co-authors include S.H. Mishra, Costel C. Darie, Brîndușa Alina Petre, Emmalyn J. Dupree, Marius Mihăşan, Anca-Narcisa Neagu, M. Rajani, M. N. Ravishankara, Harish Padh and Neeta Shrivastava and has published in prestigious journals such as Journal of the American Chemical Society, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Madhuri Jayathirtha

22 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Madhuri Jayathirtha United States 11 341 194 120 108 59 24 702
Hye Jin Kim South Korea 16 293 0.9× 125 0.6× 58 0.5× 70 0.6× 57 1.0× 31 581
Brîndușa Alina Petre Romania 16 434 1.3× 230 1.2× 40 0.3× 69 0.6× 53 0.9× 47 770
Haonan Wang China 16 334 1.0× 38 0.2× 60 0.5× 62 0.6× 39 0.7× 32 699
Teruki Yoshimura Japan 22 460 1.3× 57 0.3× 155 1.3× 61 0.6× 35 0.6× 73 1.1k
Nadia Bouchemal France 12 627 1.8× 57 0.3× 47 0.4× 106 1.0× 94 1.6× 19 966
Jianyu Liu China 16 306 0.9× 32 0.2× 59 0.5× 126 1.2× 35 0.6× 56 692
Subas Chandra Dinda India 17 347 1.0× 57 0.3× 33 0.3× 137 1.3× 109 1.8× 67 954
Liwei Xu China 13 246 0.7× 273 1.4× 24 0.2× 124 1.1× 52 0.9× 22 630
Andrew W. Schultz United States 9 646 1.9× 105 0.5× 20 0.2× 90 0.8× 32 0.5× 9 925
Hyang Sook Chun South Korea 10 216 0.6× 36 0.2× 28 0.2× 50 0.5× 40 0.7× 19 575

Countries citing papers authored by Madhuri Jayathirtha

Since Specialization
Citations

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

Fields of papers citing papers by Madhuri Jayathirtha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhuri Jayathirtha

This figure shows the co-authorship network connecting the top 25 collaborators of Madhuri Jayathirtha. A scholar is included among the top collaborators of Madhuri Jayathirtha 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 Madhuri Jayathirtha. Madhuri Jayathirtha 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.
Jayathirtha, Madhuri, et al.. (2025). From Jumping Gene to Cancer: Revisiting the Role of JTB Protein. Biomedicines. 13(7). 1705–1705.
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Jayathirtha, Madhuri, et al.. (2022). Investigation of the effects of overexpression of jumping translocation breakpoint (JTB) protein in MCF7 cells for potential use as a biomarker in breast cancer.. PubMed. 12(4). 1784–1823. 11 indexed citations
5.
Jayathirtha, Madhuri, et al.. (2022). Investigation of the effects of downregulation of jumping translocation breakpoint (JTB) protein expression in MCF7 cells for potential use as a biomarker in breast cancer.. PubMed. 12(9). 4373–4398. 9 indexed citations
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Jayathirtha, Madhuri, Elena Gabriela Hitruc, Marius Zaharia, et al.. (2021). A Proteomic Approach to Identify Zein Proteins upon Eco-Friendly Ultrasound-Based Extraction. Biomolecules. 11(12). 1838–1838. 8 indexed citations
8.
Jayathirtha, Madhuri, et al.. (2021). Investigation and Characterization of the Jumping Translocation Breakpoint (JTB) Protein using Mass Spectrometry based Proteomics. The FASEB Journal. 35(S1). 3 indexed citations
9.
Dupree, Emmalyn J., et al.. (2020). A Critical Review of Bottom-Up Proteomics: The Good, the Bad, and the Future of This Field. Proteomes. 8(3). 14–14. 207 indexed citations
10.
Jayathirtha, Madhuri, et al.. (2020). Mass Spectrometric (MS) Analysis of Proteins and Peptides. Current Protein and Peptide Science. 22(2). 92–120. 10 indexed citations
11.
Sokolowska, Izabela, Armand G. Ngounou Wetie, Alisa G. Woods, Madhuri Jayathirtha, & Costel C. Darie. (2019). Role of Mass Spectrometry in Investigating a Novel Protein: The Example of Tumor Differentiation Factor (TDF). Advances in experimental medicine and biology. 1140. 417–433. 1 indexed citations
12.
Wetie, Armand G. Ngounou, Izabela Sokolowska, Emmalyn J. Dupree, et al.. (2019). Proteomics and Non-proteomics Approaches to Study Stable and Transient Protein-Protein Interactions. Advances in experimental medicine and biology. 1140. 121–142. 3 indexed citations
13.
Jayathirtha, Madhuri, et al.. (2019). Recent Applications of Mass Spectrometry at Clarkson University. Advances in experimental medicine and biology. 1140. 771–785. 2 indexed citations
14.
Woods, Alisa G., Izabela Sokolowska, Armand G. Ngounou Wetie, et al.. (2019). Mass Spectrometry for Proteomics-Based Investigation. Advances in experimental medicine and biology. 1140. 1–26. 17 indexed citations
15.
Jayathirtha, Madhuri & Costel C. Darie. (2019). Investigation of Antibody-Drug Conjugates by Mass Spectrometry. Advances in experimental medicine and biology. 1140. 251–263.
16.
Boolani, Ali, et al.. (2019). Trends in Analysis of Cortisol and Its Derivatives. Advances in experimental medicine and biology. 1140. 649–664. 11 indexed citations
17.
Jayathirtha, Madhuri & S.H. Mishra. (2004). Preliminary immunomodulatory activities of methanol extracts of Eclipta alba and Centella asiatica. Phytomedicine. 11(4). 361–365. 164 indexed citations
18.
Jain, Vandana, et al.. (2002). In vitro regeneration of roots of Phyla nodiflora and Leptadenia reticulata, and comparison of roots from cultured and natural plants for secondary metabolites.. PubMed. 40(12). 1382–6. 6 indexed citations
19.
Ravishankara, M. N., Neeta Shrivastava, Madhuri Jayathirtha, Harish Padh, & M. Rajani. (2000). Diospyros montana Roxbの樹皮からの腫よう阻害剤であるジオスピリンを定量するための感度の良い高性能薄層クロマトグラフィー. Journal of Chromatography B. 744(2). 257–262. 15 indexed citations
20.
Ravishankara, M. N., Neeta Shrivastava, Madhuri Jayathirtha, Harish Padh, & M. Rajani. (2000). Sensitive high-performance thin-layer chromatographic method for the estimation of diospyrin, a tumour inhibitory agent from the stem bark of Diospyros montana Roxb.. Journal of Chromatography B Biomedical Sciences and Applications. 744(2). 257–262. 23 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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