Vijayendran Raghavendran

2.0k citations
15 papers · 1.6k indexed · 2 hit papers · h-index 12

Vijayendran Raghavendran

15 papers receiving 1.6k citations

Hit Papers

Bacterial cellulose: A...2502008202620142020250500750

Peers

Vijayendran Raghavendran
Comparison fields: 5 of 110
  • Neurology 596
  • Biomaterials 261
  • Cellular and Molecular Neuroscience 340
  • Neurology 130
  • Physiology 289
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Citations per year

Countries citing papers authored by Vijayendran Raghavendran

Since Specialization
Citations

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

Fields of papers citing papers by Vijayendran Raghavendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 20228
2 20218
3
Bacterial cellulose: A smart biomaterial with diverse applicationsbreakdown →
2021250
4 202038
5 202015
6 202015
7 20201
8 201911
9
Anaerobiosis revisited: growth of Saccharomyces cerevisiae under extremely low oxygen availability
201818
10 2018107
11 201812
12 2018121
13 201724
14 2015105
15
Mitochondrial Import and Accumulation of α-Synuclein Impair Complex I in Human Dopaminergic Neuronal Cultures and Parkinson Disease Brainbreakdown →
2008863

About Vijayendran Raghavendran

Vijayendran Raghavendran is a scholar working on Food Science, Biotechnology and Biomedical Engineering, having authored 15 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (10 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Fermentation and Sensory Analysis (5 papers), Catalysis for Biomass Conversion (4 papers), Fungal and yeast genetics research (3 papers), Advanced Cellulose Research Studies (2 papers), Sugarcane Cultivation and Processing (2 papers) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Neurology (596 citations), Biomaterials (261 citations) and Cellular and Molecular Neuroscience (340 citations). Vijayendran Raghavendran has collaborated with scholars based in Brazil, United Kingdom and Sweden. Frequent co-authors include Hindupur K. Anandatheerthavarada, Narayan G. Avadhani, Latha Devi, Badanavalu M. Prabhu, Ipsita Roy, Emmanuel Asare, Andreas Gombert, Annabelle Fricker, Lakshmi Tripathi and David A. Gregory. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology and Bioresource Technology.

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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