Ramachandran Murali
- Molecular Biology top 2%
- Oncology top 2%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Cancer Research top 5%
- Co-authors
- Alan BerezovHongtao ZhangMark I. GreeneQiang WangJeffrey A. DrebinGeng ZhangThomas Kieber‐EmmonsRoger M. Burnett
- Topics
- Monoclonal and Polyclonal Antibodies Research (39 papers)HER2/EGFR in Cancer Research (21 papers)Glycosylation and Glycoproteins Research (16 papers)
- Cited by
- OncologyVirologyImmunology
- Partner nations
- United StatesJapanIndia
In The Last Decade
Ramachandran Murali
158 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 157
- Molecular Biology 2.7k
- Oncology 1.5k
- Immunology 909
- Radiology, Nuclear Medicine and Imaging 830
- Cancer Research 470
Countries citing papers authored by Ramachandran Murali
This map shows the geographic impact of Ramachandran Murali'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 Ramachandran Murali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramachandran Murali more than expected).
Fields of papers citing papers by Ramachandran Murali
This network shows the impact of papers produced by Ramachandran Murali. 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 Ramachandran Murali. The network helps show where Ramachandran Murali may publish in the future.
Co-authorship network of co-authors of Ramachandran Murali
This figure shows the co-authorship network connecting the top 25 collaborators of Ramachandran Murali. A scholar is included among the top collaborators of Ramachandran Murali 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 Ramachandran Murali. Ramachandran Murali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 28 | |
| 7 | 27 | |
| 8 | Disabling the Nuclear Translocalization of RelA/NF-κB by a Small Molecule Inhibits Triple-Negative Breast Cancer Growth | 1 |
| 9 | 29 | |
| 10 | 16 | |
| 11 | 17 | |
| 12 | 18 | |
| 13 | 49 | |
| 14 | Modelling photosynthetic rates of Indian red mangroves (Rhizophora mucronata Poir.) to climatic factors. | 1 |
| 15 | 29 | |
| 16 | 282 | |
| 17 | AUTOPHAGY IS THE EMERGING ROLE IN PLANT DEFENSE AGAINST PATHOGEN ATTACK | 3 |
| 18 | 17 | |
| 19 | 38 | |
| 20 | Antibody like peptidomimetics as large scale immunodetection probes. | 3 |
About Ramachandran Murali
Ramachandran Murali is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 163 papers that have together received 5.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (39 papers), HER2/EGFR in Cancer Research (21 papers) and Glycosylation and Glycoproteins Research (16 papers). The work is most often cited by research in Oncology (1.5k citations), Virology (240 citations) and Immunology (909 citations). Ramachandran Murali has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Alan Berezov, Hongtao Zhang, Mark I. Greene, Mark I. Greene, Qiang Wang, Jeffrey A. Drebin, Geng Zhang, Thomas Kieber‐Emmons, Roger M. Burnett and Stephen J. Pandol. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.