Saravanakumar Narayanan

924 citations
9 papers · 661 indexed · h-index 9
Topics
Prion Diseases and Protein Misfolding (3 papers)Chemical Synthesis and Analysis (2 papers)Peptidase Inhibition and Analysis (2 papers)

In The Last Decade

Saravanakumar Narayanan

9 papers receiving 655 citations

Peers

Saravanakumar Narayanan
Comparison fields: 5 of 75
  • Molecular Biology 510
  • Physiology 353
  • Cell Biology 102
  • Materials Chemistry 88
  • Biomaterials 65
Replace Claudia Parrini with:
Claudia Parrini Italy
Katja Wiesehan Germany
M. Schwalbe Germany
Karin Wieligmann Germany
Theodoros K. Karamanos United Kingdom
Giorgio Favrin United Kingdom
Miyo Sakai Japan
Benedetta Bolognesi Spain
Timo Eichner United States
Marcus Bokvist Sweden
Saravanakumar Narayanan relative to Claudia Parrini Italy Claudia Parrini's profile →
Citations per field
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Claudia Parrini · 1×
Citations per year

Countries citing papers authored by Saravanakumar Narayanan

Since Specialization
Citations

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

Fields of papers citing papers by Saravanakumar Narayanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanakumar Narayanan

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanakumar Narayanan. A scholar is included among the top collaborators of Saravanakumar Narayanan 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 Saravanakumar Narayanan. Saravanakumar Narayanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 24
2 16
3 58
4 139
5 32
6 47
7 108
8 205
9 32

About Saravanakumar Narayanan

Saravanakumar Narayanan is a scholar working on Nutrition and Dietetics, Molecular Biology and Nuclear and High Energy Physics, having authored 9 papers that have together received 661 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (3 papers), Chemical Synthesis and Analysis (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Physiology (353 citations), Molecular Biology (510 citations) and Cell Biology (102 citations). Saravanakumar Narayanan has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Bernd Reif, Michael S. Wolfe, Toru Sato, Christopher M. Dobson, Luís Serrano, Fabrizio Chiti, Francesc Avilés, Matilde Parreño, Elisa Giannoni and Jesús Zurdo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

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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