Daniel Mariappa
- Molecular Biology
- Immunology
- Organic Chemistry top 10%
- Reproductive Medicine top 10%
- Public Health, Environmental and Occupational Health
- Co-authors
- Daan M. F. van AaltenAndrew T. FerenbachRiccardo TrapannoneH.‐Arno J. MüllerPolani B. SeshagiriRavindranath H. AladakattiDavid G. CampbellRahul Pandey
- Topics
- Glycosylation and Glycoproteins Research (10 papers)Galectins and Cancer Biology (7 papers)Carbohydrate Chemistry and Synthesis (6 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe EMBO Journal
- Partner nations
- United KingdomIndiaNetherlands
In The Last Decade
Daniel Mariappa
14 papers receiving 320 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 263
- Immunology 158
- Organic Chemistry 150
- Reproductive Medicine 44
- Public Health, Environmental and Occupational Health 43
Countries citing papers authored by Daniel Mariappa
This map shows the geographic impact of Daniel Mariappa'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 Daniel Mariappa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mariappa more than expected).
Fields of papers citing papers by Daniel Mariappa
This network shows the impact of papers produced by Daniel Mariappa. 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 Daniel Mariappa. The network helps show where Daniel Mariappa may publish in the future.
Co-authorship network of co-authors of Daniel Mariappa
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mariappa. A scholar is included among the top collaborators of Daniel Mariappa 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 Daniel Mariappa. Daniel Mariappa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 18 | |
| 3 | 48 | |
| 4 | 49 | |
| 5 | 17 | |
| 6 | 34 | |
| 7 | 23 | |
| 8 | 36 | |
| 9 | 10 | |
| 10 | 21 | |
| 11 | 31 | |
| 12 | Tyrosine phosphorylated proteins in mammalian spermatozoa: molecular and functional aspects. | 14 |
| 13 | 5 | |
| 14 | Pentoxifylline induced signalling events during capacitation of hamster spermatozoa: significance of protein tyrosine phosphorylation. | 5 |
About Daniel Mariappa
Daniel Mariappa is a scholar working on Reproductive Medicine, Immunology and Virology, having authored 14 papers that have together received 322 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Galectins and Cancer Biology (7 papers) and Carbohydrate Chemistry and Synthesis (6 papers). The work is most often cited by research in Immunology (158 citations), Organic Chemistry (150 citations) and Reproductive Medicine (44 citations). Daniel Mariappa has collaborated with scholars based in United Kingdom, India and Netherlands. Frequent co-authors include Daan M. F. van Aalten, Andrew T. Ferenbach, Riccardo Trapannone, H.‐Arno J. Müller, Polani B. Seshagiri, Ravindranath H. Aladakatti, David G. Campbell, Rahul Pandey, Robert Gourlay and Christian F. Lehner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.
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.