R. Sarma

670 citations
14 papers · 566 · h-index 11

Impact in

  • Neurology top 10%
    • Neurological diseases and metabolism
  • Physiology top 10%
    • Alzheimer's disease research and treatments

Papers in

    • Protein Structure and Dynamics 7
    • Glycosylation and Glycoproteins Research 3
    • Biochemical and Molecular Research 2
    • Machine Learning in Bioinformatics 1
    • Enzyme Structure and Function 8

R. Sarma

14 papers receiving 547 citations

Peers

R. Sarma
Comparison fields: 5 of 65
  • Neurology 101
  • Physiology 203
  • Molecular Biology 459
  • Nutrition and Dietetics 96
  • Biotechnology 27
Replace Takashi Higurashi with:
Takashi Higurashi Japan
Rosemary A. Staniforth United Kingdom
Maria F. Mossuto Italy
Saravanakumar Narayanan Germany
M. Schwalbe Germany
Ralf Jansen Germany
Jon H. Come United States
A. Last United Kingdom
M.J. Kornblatt Canada
Anne Dhulesia United Kingdom
R. Sarma relative to Takashi Higurashi Japan Takashi Higurashi's profile →
Citations per field
00.5×3.4×
Takashi Higurashi · 1×
Citations per year

Countries citing papers authored by R. Sarma

Since Specialization
Citations

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

Fields of papers citing papers by R. Sarma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Sarma, 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 R. Sarma Line = papers co-authored together R. Sarma links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1993205
2 1987136
3 199644
4 198227
5 197624
6 197423
7 198221
8 197720
9 198018
10 197515
11 198114
12 19719
13 19788
14 19842

About R. Sarma

R. Sarma is a scholar working on Molecular Biology, Materials Chemistry, Physiology, Immunology and Clinical Biochemistry, having authored 14 papers that have together received 566 indexed citations. Recurring topics across this work include Enzyme Structure and Function (8 papers), Protein Structure and Dynamics (7 papers), Glycosylation and Glycoproteins Research (3 papers), Alzheimer's disease research and treatments (2 papers), Biochemical and Molecular Research (2 papers), Neurological diseases and metabolism (1 paper), Machine Learning in Bioinformatics (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Neurology (101 citations), Physiology (203 citations), Molecular Biology (459 citations), Nutrition and Dietetics (96 citations) and Biotechnology (27 citations). R. Sarma has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include P D Gorevic, Blas Frangione, R. Bott, Bernardino Ghetti, Giorgio Giaccone, Gianluigi Forloni, Fabrizio Tagliavini, F Passerini, Laura Verga and Elena Ghibaudi. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Tetrahedron Letters, Biochemistry and Annals of the New York Academy of Sciences.

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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