Pradeep Bandaru

1.5k citations
5 papers · 1.0k indexed · 1 hit paper · h-index 5
Topics
Protein Kinase Regulation and GTPase Signaling (2 papers)RNA regulation and disease (2 papers)RNA Research and Splicing (2 papers)
Partner nations
United States

In The Last Decade

Pradeep Bandaru

5 papers receiving 1.0k citations

Hit Papers

FMRP targets distinct mRNA sequence elements to regulate ...20122026201620212012100200300400500

Peers

Pradeep Bandaru
Comparison fields: 5 of 82
  • Molecular Biology 858
  • Genetics 378
  • Cancer Research 142
  • Cognitive Neuroscience 126
  • Oncology 61
Replace Mathieu Quesnel-Vallières with:
Mathieu Quesnel-Vallières United States
Kenji Kokura Japan
Rongxin Fang United States
Hatice Özel Abaan United States
Sarah J. L. Graham United Kingdom
Ido Sagi Israel
Bhaven K. Mehta United States
Maria Ivshina United States
Alexandra Stützer Germany
Dave O’Hanlon Canada
Pradeep Bandaru relative to Mathieu Quesnel-Vallières United States Mathieu Quesnel-Vallières's profile →
Citations per field
00.5×3.0×
Mathieu Quesnel-Vallières · 1×
Citations per year

Countries citing papers authored by Pradeep Bandaru

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Bandaru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Bandaru

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1 51
2 70
3 135
4
FMRP targets distinct mRNA sequence elements to regulate protein expressionbreakdown →
521
5 260

About Pradeep Bandaru

Pradeep Bandaru is a scholar working on Molecular Biology, Genetics and Infectious Diseases, having authored 5 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), RNA regulation and disease (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Genetics (378 citations), Molecular Biology (858 citations) and Cancer Research (142 citations). Pradeep Bandaru has collaborated with scholars based in United States. Frequent co-authors include Markus Hafner, Thomas Tuschl, Jeffrey D. Nusbaum, Neelanjan Mukherjee, Mathias Munschauer, David L. Corcoran, Manuel Ascano, Christine Langlois, Jason B. Miller and Uwe Ohler. Their work appears in journals such as Nature, eLife and RNA.

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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