R. Robilotto

1.3k citations
3 papers · 208 · h-index 3

Impact in

    • Genomics and Phylogenetic Studies
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • Molecular Biology Techniques and Applications
    • Bioinformatics and Genomic Networks
    • Cancer-related molecular mechanisms research

Papers in

    • Genomics and Phylogenetic Studies 2
    • RNA and protein synthesis mechanisms 2
    • Bioinformatics and Genomic Networks 1
    • Machine Learning in Bioinformatics 1
    • Ubiquitin and proteasome pathways 1
    • RNA modifications and cancer 1
    • Molecular Biology Techniques and Applications 1

R. Robilotto

3 papers receiving 204 citations

Peers

R. Robilotto
Comparison fields: 5 of 52
  • Molecular Biology 168
  • Cancer Research 26
  • Aging 3
  • Genetics 37
  • Plant Science 44
Replace Kian Hong Kock with:
Kian Hong Kock United States
Randall A. Dass United States
J. Goni Spain
Teresa Szczepińska Poland
Mustafa Malik Ghulam France
Yannis Nevers Switzerland
Zong-Ming Guo China
Elliot A. Hershberg United States
Long Vo Ngoc United States
Mateus Patrício Spain
R. Robilotto relative to Kian Hong Kock United States Kian Hong Kock's profile →
Citations per field
00.5×10×
Kian Hong Kock · 1×
Citations per year

Countries citing papers authored by R. Robilotto

Since Specialization
Citations

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

Fields of papers citing papers by R. Robilotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside R. Robilotto, 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 R. Robilotto Line = papers co-authored together R. Robilotto links everyone, so they are left out of the graph.

All Works

About R. Robilotto

R. Robilotto is a scholar working on Molecular Biology, Infectious Diseases, Organic Chemistry, Surgery and Communication, having authored 3 papers that have together received 208 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), RNA and protein synthesis mechanisms (2 papers), Bioinformatics and Genomic Networks (1 paper), Machine Learning in Bioinformatics (1 paper), Ubiquitin and proteasome pathways (1 paper), RNA modifications and cancer (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (168 citations), Cancer Research (26 citations), Aging (3 citations), Genetics (37 citations) and Plant Science (44 citations). R. Robilotto has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mark Gerstein, Gang Fang, Nitin Bhardwaj, Suganthi Balasubramanian, Deyou Zheng, Nicholas Carriero, Adam Frankish, Philip Cayting and Ekta Khurana. Their work appears in journals such as Genome biology, BMC Genomics and PLoS Computational Biology.

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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