Daniel Mariappa

427 citations
14 papers · 322 · h-index 11

Impact in

    • Galectins and Cancer Biology
    • Invertebrate Immune Response Mechanisms
    • Carbohydrate Chemistry and Synthesis

Papers in

Daniel Mariappa

14 papers receiving 320 citations

Peers

Daniel Mariappa
Comparison fields: 5 of 46
  • Immunology 158
  • Organic Chemistry 150
  • Reproductive Medicine 44
  • Molecular Biology 263
  • Aging 6
Replace Masashi Hada with:
Masashi Hada Japan
Smitha Sripathy United States
Matt Benasutti United States
Mary R. Pixley United States
Elisa Kreibich Germany
Benjamin M. Adams United States
Ewald Heroes Belgium
Yogesh Ostwal Germany
Kyoko Hiragami-Hamada Germany
Jocelyn Staunton United States
Daniel Mariappa relative to Masashi Hada Japan Masashi Hada's profile →
Citations per field
00.5×6.3×
Masashi Hada · 1×
Citations per year

Countries citing papers authored by Daniel Mariappa

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Daniel Mariappa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Mariappa Line = papers co-authored together Daniel Mariappa links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201649
2 201748
3 201436
4 201534
5 200931
6 201523
7 201121
8 201818
9 201517
10
Tyrosine phosphorylated proteins in mammalian spermatozoa: molecular and functional aspects.
200714
11 202211
12 201310
13 20055
14
Pentoxifylline induced signalling events during capacitation of hamster spermatozoa: significance of protein tyrosine phosphorylation.
20035

About Daniel Mariappa

Daniel Mariappa is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Public Health, Environmental and Occupational Health and Reproductive Medicine, 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), Carbohydrate Chemistry and Synthesis (6 papers), Sperm and Testicular Function (3 papers), Reproductive Biology and Fertility (3 papers), Ovarian function and disorders (2 papers), Plant Molecular Biology Research (1 paper) and HIV Research and Treatment (1 paper). The work is most often cited by research in Immunology (158 citations), Organic Chemistry (150 citations), Reproductive Medicine (44 citations), Molecular Biology (263 citations) and Aging (6 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, Polani B. Seshagiri, H.‐Arno J. Müller, Ravindranath H. Aladakatti, Robert Gourlay, Rahul Pandey, Christian F. Lehner and Matthias Trost. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, The EMBO Journal, PLoS Genetics and Nature Chemical Biology.

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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