Gavuthami Murugesan

466 citations
7 papers · 320 · h-index 5

Impact in

    • 14-3-3 protein interactions
    • Ubiquitin and proteasome pathways
    • Glycosylation and Glycoproteins Research
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses

Papers in

    • 14-3-3 protein interactions 3
    • Glycosylation and Glycoproteins Research 2
    • Ubiquitin and proteasome pathways 2
    • Melanoma and MAPK Pathways 1
    • Galectins and Cancer Biology 2
    • Phagocytosis and Immune Regulation 1
    • Complement system in diseases 1

Gavuthami Murugesan

7 papers receiving 317 citations

Peers

Gavuthami Murugesan
Comparison fields: 5 of 47
  • Molecular Biology 274
  • Immunology 76
  • Pharmacology 40
  • Cell Biology 33
  • Oncology 36
Replace Yumi Ueda with:
Yumi Ueda Japan
Charles S. Fermaintt United States
Ook-Joon Yoo South Korea
Markus Dangl Germany
Ingrid Almlöf Sweden
Ho-Tak Lau United States
Mobeen Malik United States
Silvia Vincenti Italy
Sean D. McKenna United States
Zhong‐Yin Zhang United States
Gavuthami Murugesan relative to Yumi Ueda Japan Yumi Ueda's profile →
Citations per field
00.5×
Yumi Ueda · 1×
Citations per year

Countries citing papers authored by Gavuthami Murugesan

Since Specialization
Citations

This map shows the geographic impact of Gavuthami Murugesan'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 Gavuthami Murugesan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gavuthami Murugesan more than expected).

Fields of papers citing papers by Gavuthami Murugesan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavuthami Murugesan. 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 Gavuthami Murugesan. The network helps show where Gavuthami Murugesan may publish in the future.

Co-authors

The 24 scholars most cited alongside Gavuthami Murugesan, 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 Gavuthami Murugesan Line = papers co-authored together Gavuthami Murugesan links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2015156
2 202159
3 201450
4 202039
5 20229
6 20224
7 20223

About Gavuthami Murugesan

Gavuthami Murugesan is a scholar working on Molecular Biology, Immunology, Pharmacology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 7 papers that have together received 320 indexed citations. Recurring topics across this work include 14-3-3 protein interactions (3 papers), Galectins and Cancer Biology (2 papers), Microbial Natural Products and Biosynthesis (2 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Phagocytosis and Immune Regulation (1 paper), Melanoma and MAPK Pathways (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Molecular Biology (274 citations), Immunology (76 citations), Pharmacology (40 citations), Cell Biology (33 citations) and Oncology (36 citations). Gavuthami Murugesan has collaborated with scholars based in United Kingdom, Germany and Portugal. Frequent co-authors include Carol MacKintosh, Michele Tinti, Rachel Toth, Fábio Madeira, Paul R. Crocker, Bernd Weigle, Margaret J. Stafford, Christian Cole, Geoffrey J. Barton and Gerta Hoxhaj. Their work appears in journals such as Current Opinion in Chemical Biology, Biomedicines, Database, Bioinformatics and Glycobiology.

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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