Maddaly Ravi

2.1k total citations · 1 hit paper
67 papers, 1.6k citations indexed

About

Maddaly Ravi is a scholar working on Biomedical Engineering, Molecular Biology and Oncology. According to data from OpenAlex, Maddaly Ravi has authored 67 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Biomedical Engineering, 25 papers in Molecular Biology and 20 papers in Oncology. Recurrent topics in Maddaly Ravi's work include 3D Printing in Biomedical Research (18 papers), Cancer Cells and Metastasis (14 papers) and DNA Repair Mechanisms (8 papers). Maddaly Ravi is often cited by papers focused on 3D Printing in Biomedical Research (18 papers), Cancer Cells and Metastasis (14 papers) and DNA Repair Mechanisms (8 papers). Maddaly Ravi collaborates with scholars based in India, United States and Saudi Arabia. Maddaly Ravi's co-authors include S. Kaviya, F Solomon, Solomon F.D. Paul, Gomathy Baskar, Thirunavukkarasu Palaniyandi, Asha Sivaji, Sandhiya Viswanathan, Barani Kumar Rajendran, Suresh Ranga Rao and Sarah Kuruvilla and has published in prestigious journals such as Oncogene, FEBS Letters and Experimental Cell Research.

In The Last Decade

Maddaly Ravi

60 papers receiving 1.5k citations

Hit Papers

3D Cell Culture Systems: Advantages and Applications 2014 2026 2018 2022 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maddaly Ravi India 15 689 431 325 180 161 67 1.6k
Siyoung Choi United States 17 389 0.6× 439 1.0× 260 0.8× 179 1.0× 142 0.9× 29 1.2k
Marta Kapałczyńska Poland 6 594 0.9× 449 1.0× 469 1.4× 112 0.6× 214 1.3× 8 1.4k
Jianjun Li China 24 504 0.7× 652 1.5× 154 0.5× 120 0.7× 108 0.7× 93 1.5k
Łukasz Łuczewski Poland 10 586 0.9× 475 1.1× 439 1.4× 115 0.6× 183 1.1× 21 1.5k
Ofra Benny Israel 25 552 0.8× 541 1.3× 251 0.8× 367 2.0× 81 0.5× 67 1.8k
Violetta Filas Poland 15 593 0.9× 511 1.2× 530 1.6× 118 0.7× 164 1.0× 43 1.7k
Esmeralda Carrillo Spain 19 361 0.5× 441 1.0× 190 0.6× 186 1.0× 158 1.0× 50 1.2k
Audrey F. Adcock United States 15 1.1k 1.6× 747 1.7× 503 1.5× 254 1.4× 231 1.4× 30 2.5k
Xi Yang China 26 393 0.6× 743 1.7× 212 0.7× 404 2.2× 167 1.0× 75 1.9k
Fredrik Johansson United States 15 1.1k 1.6× 709 1.6× 235 0.7× 247 1.4× 349 2.2× 25 2.3k

Countries citing papers authored by Maddaly Ravi

Since Specialization
Citations

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

Fields of papers citing papers by Maddaly Ravi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maddaly Ravi

This figure shows the co-authorship network connecting the top 25 collaborators of Maddaly Ravi. A scholar is included among the top collaborators of Maddaly Ravi 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 Maddaly Ravi. Maddaly Ravi 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.
Palaniyandi, Thirunavukkarasu, et al.. (2025). Exploring the potential of stem cell therapy: Applications, types, and future directions. Acta Histochemica. 127(2). 152237–152237.
2.
Baskar, Gomathy, Maddaly Ravi, Sandhiya Viswanathan, et al.. (2024). Biosynthesis of iron oxide nanoparticles from red seaweed Hypnea valentiae and evaluation of their antioxidant and antitumor potential via the AKT/PI3K pathway. Process Biochemistry. 141. 155–169. 6 indexed citations
3.
Thiruppathi, Govindhan, et al.. (2024). Effect of ruthenium(II) complexes on MDA-MB-231 cells and lifespan/tumor growth in gld-1mutant, Daf-16 TF and stress productive genes: A perspective study. Journal of Inorganic Biochemistry. 257. 112580–112580. 2 indexed citations
4.
Prathap, Lavanya, et al.. (2024). Microfluidics as diagnostic tools. Clinica Chimica Acta. 556. 117841–117841. 12 indexed citations
5.
Palaniyandi, Thirunavukkarasu, Sandhiya Viswanathan, Gomathy Baskar, et al.. (2024). Assessment of genome mutation analysis for tumor-informed detection of circulating tumor DNA in patients with breast cancer. Clinica Chimica Acta. 561. 119818–119818. 3 indexed citations
6.
Palaniyandi, Thirunavukkarasu, Maddaly Ravi, Asha Sivaji, et al.. (2024). Recent advances in microfluidic chip technologies for applications as preclinical testing devices for the diagnosis and treatment of triple-negative breast cancers. Pathology - Research and Practice. 264. 155711–155711. 3 indexed citations
7.
Ravi, Maddaly, et al.. (2024). Drug resistance in human cancers — Mechanisms and implications. Life Sciences. 352. 122907–122907. 13 indexed citations
8.
Palaniyandi, Thirunavukkarasu, et al.. (2024). Implications and progression of peroxiredoxin 2 (PRDX2) in various human diseases. Pathology - Research and Practice. 254. 155080–155080. 10 indexed citations
9.
Palaniyandi, Thirunavukkarasu, Sudhakar Natarajan, Rajeswary Hari, et al.. (2023). Role of homeobox d10 gene targeted signaling pathways in cancers. Pathology - Research and Practice. 248. 154643–154643. 6 indexed citations
10.
Palaniyandi, Thirunavukkarasu, et al.. (2023). Prospectives of mirna gene signaling pathway in triple-negative breast cancer. Pathology - Research and Practice. 248. 154658–154658. 4 indexed citations
11.
Baskar, Gomathy, Thirunavukkarasu Palaniyandi, Sandhiya Viswanathan, et al.. (2023). Pharmacological effect of gold nanoparticles from red algae Halymenia venusta on A549 cell line. Inorganic Chemistry Communications. 155. 111005–111005. 9 indexed citations
12.
Ravi, Maddaly, et al.. (2023). Applications of Premature Chromosome Condensation technique for genetic analysis. Toxicology in Vitro. 94. 105736–105736.
13.
Palaniyandi, Thirunavukkarasu, et al.. (2023). Biomarkers and biosensors for early cancer diagnosis, monitoring and prognosis. Pathology - Research and Practice. 250. 154812–154812. 18 indexed citations
14.
Palaniyandi, Thirunavukkarasu, et al.. (2023). Prospectives and retrospectives of microfluidics devices and lab-on-A-chip emphasis on cancer. Clinica Chimica Acta. 552. 117646–117646. 14 indexed citations
15.
Ravi, Maddaly, et al.. (2023). Significance of cell culture phases for utilizing 3D cultures of A549 cells for in vitro studies. Cell Biology International. 47(10). 1760–1764. 2 indexed citations
16.
Ramesh, Anuradha, et al.. (2021). Devices and techniques used to obtain and analyze three‐dimensional cell cultures. Biotechnology Progress. 37(3). e3126–e3126. 19 indexed citations
17.
Kumar, Ayush, et al.. (2019). Software Defect Prediction Analysis by using Machine Learning Algorithms. International Journal of Recent Technology and Engineering (IJRTE). 8(2S11). 3544–3546. 7 indexed citations
18.
Ravi, Maddaly, et al.. (2017). Contributions of 3D Cell Cultures for Cancer Research. Journal of Cellular Physiology. 232(10). 2679–2697. 55 indexed citations
19.
Ravi, Maddaly, et al.. (2017). Cancer Cytokines and the Relevance of 3D Cultures for Studying Those Implicated in Human Cancers. Journal of Cellular Biochemistry. 118(9). 2544–2558. 10 indexed citations
20.
Ravi, Maddaly, et al.. (2014). 3D Cell Culture Systems: Advantages and Applications. Journal of Cellular Physiology. 230(1). 16–26. 877 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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