M. Rohini

456 total citations
15 papers, 369 citations indexed

About

M. Rohini is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, M. Rohini has authored 15 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 9 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in M. Rohini's work include MicroRNA in disease regulation (8 papers), Bone Metabolism and Diseases (7 papers) and Cancer-related gene regulation (5 papers). M. Rohini is often cited by papers focused on MicroRNA in disease regulation (8 papers), Bone Metabolism and Diseases (7 papers) and Cancer-related gene regulation (5 papers). M. Rohini collaborates with scholars based in India and United States. M. Rohini's co-authors include N. Selvamurugan, Panimaya Jeffreena Miranda, M. Vairamani, R.L. Akshaya, Nicola C. Partridge, Arumugam Balasubramanian, Zhiming He, Ganesh Sanjeev, K. Gomathi and R. Ilangovan and has published in prestigious journals such as Life Sciences, Journal of Cellular Physiology and International Journal of Biological Macromolecules.

In The Last Decade

M. Rohini

15 papers receiving 360 citations

Peers

M. Rohini
Yayoi Izu Japan
Kimi Kong United States
Rita Gerard-O’Riley United States
Zhefu Zhao Germany
Zhe Zhong China
M. Rohini
Citations per year, relative to M. Rohini M. Rohini (= 1×) peers Yuanyuan Xiong

Countries citing papers authored by M. Rohini

Since Specialization
Citations

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

Fields of papers citing papers by M. Rohini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Rohini

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

All Works

15 of 15 papers shown
2.
Akshaya, R.L., M. Rohini, Zhiming He, Nicola C. Partridge, & N. Selvamurugan. (2022). MiR-4638-3p regulates transforming growth factor-β1-induced activating transcription factor-3 and cell proliferation, invasion, and apoptosis in human breast cancer cells. International Journal of Biological Macromolecules. 222(Pt B). 1974–1982. 13 indexed citations
3.
Sanjeev, Ganesh, et al.. (2021). Regulation of bone metastasis and metastasis suppressors by non-coding RNAs in breast cancer. Biochimie. 187. 14–24. 6 indexed citations
4.
Sanjeev, Ganesh, et al.. (2021). A computational approach on studying the regulation of TGF-β1-stimulated Runx2 expression by MicroRNAs in human breast cancer cells. Computers in Biology and Medicine. 137. 104823–104823. 12 indexed citations
5.
Rohini, M., M. Vairamani, & N. Selvamurugan. (2021). TGF-β1-stimulation of NFATC2 and ATF3 proteins and their interaction for matrix metalloproteinase 13 expression in human breast cancer cells. International Journal of Biological Macromolecules. 192. 1325–1330. 8 indexed citations
6.
Rohini, M., et al.. (2021). Parathyroid Hormone-regulation of Runx2 by MiR-290 for MatrixMetalloproteinase-13 Expression in Rat Osteoblastic Cells. Current Molecular Medicine. 22(6). 549–561. 10 indexed citations
7.
8.
Gomathi, K., et al.. (2020). Histone acetyl transferases and their epigenetic impact on bone remodeling. International Journal of Biological Macromolecules. 170. 326–335. 17 indexed citations
9.
Rohini, M., et al.. (2020). miR‐873‐3p targets HDAC4 to stimulate matrix metalloproteinase‐13 expression upon parathyroid hormone exposure in rat osteoblasts. Journal of Cellular Physiology. 235(11). 7996–8009. 25 indexed citations
10.
Sanjeev, Ganesh, et al.. (2020). Regulation of Runx2 and Its Signaling Pathways by MicroRNAs in Breast Cancer Metastasis. Current Protein and Peptide Science. 22(7). 534–547. 5 indexed citations
11.
Akshaya, R.L., M. Rohini, & N. Selvamurugan. (2020). Regulation of Breast Cancer Progression by Noncoding RNAs. Current Cancer Drug Targets. 20(10). 757–767. 6 indexed citations
12.
Rohini, M., et al.. (2019). Regulation of Runx2 by MicroRNAs in osteoblast differentiation. Life Sciences. 232. 116676–116676. 95 indexed citations
13.
Rohini, M., Arumugam Balasubramanian, M. Vairamani, & N. Selvamurugan. (2019). Stimulation of ATF3 interaction with Smad4 via TGF-β1 for matrix metalloproteinase 13 gene activation in human breast cancer cells. International Journal of Biological Macromolecules. 134. 954–961. 28 indexed citations
14.
Rohini, M., et al.. (2018). Role of activating transcription factor 3 and its interacting proteins under physiological and pathological conditions. International Journal of Biological Macromolecules. 120(Pt A). 310–317. 84 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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