S Devarayalu

653 citations
8 papers · 586 · h-index 8

Impact in

    • Cell Adhesion Molecules Research
    • Angiogenesis and VEGF in Cancer
    • RNA Research and Splicing
    • TGF-β signaling in diseases
    • Glycosylation and Glycoproteins Research

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • Glycosylation and Glycoproteins Research 2
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • RNA Research and Splicing 2
    • Osteoarthritis Treatment and Mechanisms 2

S Devarayalu

8 papers receiving 569 citations

Peers

S Devarayalu
Comparison fields: 5 of 62
  • Immunology and Allergy 119
  • Molecular Biology 444
  • Cell Biology 88
  • Cancer Research 74
  • Rheumatology 56
Replace Maria Teresa Mucignat with:
Maria Teresa Mucignat Italy
Stephen Apone United States
Yunhua Bao United States
Darwin J. Prockop United States
Fredrik Wågberg Sweden
Laura Sipilä Finland
Motomi Enomoto Japan
Christa Prange United States
Sarah M. Short United States
Ari-Pekka Kvist Finland
S Devarayalu relative to Maria Teresa Mucignat Italy Maria Teresa Mucignat's profile →
Citations per field
00.5×1.7×
Maria Teresa Mucignat · 1×
Citations per year

Countries citing papers authored by S Devarayalu

Since Specialization
Citations

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

Fields of papers citing papers by S Devarayalu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside S Devarayalu, 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 S Devarayalu Line = papers co-authored together S Devarayalu links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 1987177
2 1992102
3 198893
4 199162
5 199052
6 199550
7 199330
8 198820

About S Devarayalu

S Devarayalu is a scholar working on Molecular Biology, Rheumatology, Cell Biology, Orthopedics and Sports Medicine and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 586 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Glycosylation and Glycoproteins Research (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), RNA Research and Splicing (2 papers), Tendon Structure and Treatment (2 papers) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology and Allergy (119 citations), Molecular Biology (444 citations), Cell Biology (88 citations), Cancer Research (74 citations) and Rheumatology (56 citations). S Devarayalu has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Paul Börnstein, John McKay, Richard Gelinas, Hans L. Vos, Paul E. Framson, Christine M. Distèche, DeAnn Liska, Stephen Apone, Susanne Edelhoff and Mary E. LaMarca. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular and Cellular Biology, Nucleic Acids Research and Genomics.

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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