M Ramanarayanan
- Co-authors
- Ricardo Mesa‐TejadaTsuneya OhnoIafa KeydarS. SpiegelmanCecilia M. FenoglioP. SrinivasanElazar RabbaniJames Bausch
- Topics
- Virus-based gene therapy research (5 papers)Allergic Rhinitis and Sensitization (5 papers)Monoclonal and Polyclonal Antibodies Research (4 papers)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
M Ramanarayanan
21 papers receiving 306 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 130
- Genetics 121
- Immunology 109
- Oncology 62
- Radiology, Nuclear Medicine and Imaging 52
Countries citing papers authored by M Ramanarayanan
This map shows the geographic impact of M Ramanarayanan'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 Ramanarayanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Ramanarayanan more than expected).
Fields of papers citing papers by M Ramanarayanan
This network shows the impact of papers produced by M Ramanarayanan. 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 Ramanarayanan. The network helps show where M Ramanarayanan may publish in the future.
Co-authorship network of co-authors of M Ramanarayanan
This figure shows the co-authorship network connecting the top 25 collaborators of M Ramanarayanan. A scholar is included among the top collaborators of M Ramanarayanan 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 Ramanarayanan. M Ramanarayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 4 | |
| 3 | Immunoglobulins and the immune system. | 6 |
| 4 | Correlation of a micro-ELISA assay with the skin test and the RAST assay in inhalant allergy. | 16 |
| 5 | 19 | |
| 6 | 4 | |
| 7 | 12 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | An immunoperoxidase assay for serum ragweed-specific IgE. | 6 |
| 11 | 42 | |
| 12 | Immunohistochemical evidence for RNA virus related components in human breast cancer. | 6 |
| 13 | 23 | |
| 14 | 92 | |
| 15 | 35 | |
| 16 | 13 | |
| 17 | Formation of 2,4-dihydroxybenzoic acid & resorcinol as intermediates in the degradation of salicylic acid by Aspergillus nidulans. | 3 |
| 18 | 39 | |
| 19 | 6 | |
| 20 | Purification & properties of a soluble reduced nicotinamide adenine dinucleotide (NADH) dehydrogenase from Agrobacterium tumefaciens. | 1 |
About M Ramanarayanan
M Ramanarayanan is a scholar working on Immunology and Allergy, Virology and Genetics, having authored 21 papers that have together received 370 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Allergic Rhinitis and Sensitization (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology and Allergy (38 citations), Otorhinolaryngology (23 citations) and Immunology (109 citations). M Ramanarayanan has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Ricardo Mesa‐Tejada, Tsuneya Ohno, Iafa Keydar, S. Spiegelman, Cecilia M. Fenoglio, P. Srinivasan, Elazar Rabbani, James Bausch, David S. Hurst and Charles C. Marboe. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer.
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.