Ravi Muddashetty

1.8k citations
32 papers · 1.4k · h-index 15

Impact in

Papers in

    • RNA Research and Splicing 8
    • RNA modifications and cancer 8
    • RNA and protein synthesis mechanisms 5
    • Ubiquitin and proteasome pathways 4
    • Mitochondrial Function and Pathology 4
    • Genetics and Neurodevelopmental Disorders 14

Ravi Muddashetty

29 papers receiving 1.4k citations

Peers

Ravi Muddashetty
Comparison fields: 5 of 77
  • Genetics 533
  • Cancer Research 260
  • Developmental Neuroscience 61
  • Molecular Biology 1.0k
  • Cellular and Molecular Neuroscience 217
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Citations per field
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Citations per year

Countries citing papers authored by Ravi Muddashetty

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Muddashetty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007350
2 2011308
3 2002138
4 2012106
5 2005102
6 201952
7 201932
8 201931
9 200630
10 201827
11 202125
12 201525
13 201919
14 201917
15 201916
16 201814
17 202013
18 202413
19 202012
20 202110

About Ravi Muddashetty

Ravi Muddashetty is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Cancer Research, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (14 papers), RNA Research and Splicing (8 papers), RNA modifications and cancer (8 papers), Neuroscience and Neuropharmacology Research (6 papers), RNA and protein synthesis mechanisms (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Ubiquitin and proteasome pathways (4 papers) and Mitochondrial Function and Pathology (4 papers). The work is most often cited by research in Genetics (533 citations), Cancer Research (260 citations), Developmental Neuroscience (61 citations), Molecular Biology (1.0k citations) and Cellular and Molecular Neuroscience (217 citations). Ravi Muddashetty has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Gary J. Bassell, Christina Groß, Vijayalaxmi Nalavadi, Mei Xu, Sofija Kelič, Stephen T. Warren, Oskar Laur, Lei Xing, Xiaodi Yao and Tasneem Khanam. Their work appears in journals such as Stem Cell Research, Journal of Neuroscience, Journal of Molecular Biology, Experimental Brain Research and iScience.

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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