Raeka S. Aiyar

1.8k citations
15 papers · 885 indexed · h-index 12
    • Mitochondrial Function and Pathology 6
    • ATP Synthase and ATPases Research 4
    • Bioinformatics and Genomic Networks 2
    • Photosynthetic Processes and Mechanisms 2
    • CRISPR and Genetic Engineering 2
    • Fungal and yeast genetics research 2
    • RNA and protein synthesis mechanisms 2
    • Genetic Mapping and Diversity in Plants and Animals 2

Raeka S. Aiyar

15 papers receiving 863 citations

Peers

Raeka S. Aiyar
Comparison fields: 5 of 137
  • Molecular Biology 637
  • Aging 15
  • Clinical Biochemistry 44
  • Cancer Research 72
  • Genetics 129
Replace Shanta M. Messerli with:
Shanta M. Messerli United States
Giulia Calloni Germany
Gérard Faye France
Maria Alba Sorolla Spain
Masaya Oki Japan
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Raeka S. Aiyar relative to Shanta M. Messerli United States Shanta M. Messerli's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raeka S. Aiyar

Since Specialization
Citations

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

Fields of papers citing papers by Raeka S. Aiyar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 202122
2 201911
3 201733
4 201625
5 2015100
6 201473
7 201428
8 201363
9 2013335
10 201359
11 20121
12 201245
13 201168
14 20086
15 200216

About Raeka S. Aiyar

Raeka S. Aiyar is a scholar working on Sensory Systems, Molecular Biology and Information Systems and Management, having authored 15 papers that have together received 885 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (6 papers), ATP Synthase and ATPases Research (4 papers), Bioinformatics and Genomic Networks (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), CRISPR and Genetic Engineering (2 papers), Fungal and yeast genetics research (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Molecular Biology (637 citations), Aging (15 citations) and Clinical Biochemistry (44 citations). Raeka S. Aiyar has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Lars M. Steinmetz, Julien Gagneur, Manu M. Tekkedil, Wolfgang Huber, Jan O. Korbel, Anna Jauch, Paul Theodor Pyl, Jonathan J. M. Landry, Adrian M. Stütz and Nicolas Delhomme. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neurology.

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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