M. Rohini
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Bone Metabolism and Diseases
- Circular RNAs in diseases
- TGF-β signaling in diseases
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA modifications and cancer
Papers in
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- Bone Metabolism and Diseases 5
- Cancer-related gene regulation 5
- TGF-β signaling in diseases 4
- Epigenetics and DNA Methylation 2
- Histone Deacetylase Inhibitors Research 2
- Signaling Pathways in Disease 2
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- MicroRNA in disease regulation 5
- Co-authors
- N. Selvamurugan (15 shared papers)Panimaya Jeffreena Miranda (1 shared paper)M. Vairamani (2 shared papers)Nicola C. Partridge (3 shared papers)R.L. Akshaya (5 shared papers)Zhiming He (2 shared papers)Ganesh Sanjeev (3 shared papers)K. Gomathi (1 shared paper)
- Journals
- International Journal of Biological Macromolecules (5 papers)Biochimie (3 papers)Current Protein and Peptide Science (1 paper)Biological Chemistry (1 paper)Current Cancer Drug Targets (1 paper)
- Partner nations
- IndiaUnited States
In The Last Decade
M. Rohini
15 papers receiving 378 citations
Peers
Comparison fields: 5 of 67
- Cancer Research 145
- Molecular Biology 249
- Rheumatology 25
- Genetics 16
- Orthopedics and Sports Medicine 12
Countries citing papers authored by M. Rohini
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
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-authors
The 9 scholars most cited alongside M. Rohini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 94 | |
| 2 | 2018 | 88 | |
| 3 | 2018 | 47 | |
| 4 | 2019 | 30 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 18 | |
| 7 | 2021 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2020 | 5 | |
| 15 | 2022 | 4 |
About M. Rohini
M. Rohini is a scholar working on Molecular Biology, Cancer Research, Oncology, Pathology and Forensic Medicine and Immunology, having authored 15 papers that have together received 385 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related gene regulation (5 papers), TGF-β signaling in diseases (4 papers), Epigenetics and DNA Methylation (2 papers), Histone Deacetylase Inhibitors Research (2 papers), Signaling Pathways in Disease (2 papers) and Bone health and treatments (2 papers). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (249 citations), Rheumatology (25 citations), Genetics (16 citations) and Orthopedics and Sports Medicine (12 citations). M. Rohini has collaborated with scholars based in India and United States. Frequent co-authors include N. Selvamurugan, Panimaya Jeffreena Miranda, M. Vairamani, Nicola C. Partridge, R.L. Akshaya, Zhiming He, Ganesh Sanjeev, K. Gomathi and R. Ilangovan. Their work appears in journals such as International Journal of Biological Macromolecules, Biochimie, Current Protein and Peptide Science, Biological Chemistry and Current Cancer Drug Targets.
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.