Leandro A. Bugnon

423 citations
22 papers · 267 · h-index 11

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Machine Learning in Bioinformatics
    • Genomics and Phylogenetic Studies
    • RNA Research and Splicing

Papers in

    • Machine Learning in Bioinformatics 4
    • Genomics and Phylogenetic Studies 3
    • RNA and protein synthesis mechanisms 3
    • MicroRNA in disease regulation 6
    • Cancer-related molecular mechanisms research 3

Leandro A. Bugnon

22 papers receiving 266 citations

Peers

Leandro A. Bugnon
Comparison fields: 5 of 61
  • Cancer Research 85
  • Molecular Biology 134
  • Infectious Diseases 29
  • Small Animals 7
  • Parasitology 6
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Citations per field
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Citations per year

Countries citing papers authored by Leandro A. Bugnon

Since Specialization
Citations

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

Fields of papers citing papers by Leandro A. Bugnon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro A. Bugnon. 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 Leandro A. Bugnon. The network helps show where Leandro A. Bugnon may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201936
2 201833
3 202232
4 202120
5 202020
6 201916
7 202115
8 202113
9 202012
10 201712
11 202012
12 20259
13 20246
14 20176
15 20195
16 20245
17 20204
18 20234
19 20233
20 20222

About Leandro A. Bugnon

Leandro A. Bugnon is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Experimental and Cognitive Psychology and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 267 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Machine Learning in Bioinformatics (4 papers), Heart Rate Variability and Autonomic Control (3 papers), Genomics and Phylogenetic Studies (3 papers), Emotion and Mood Recognition (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA and protein synthesis mechanisms (3 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Cancer Research (85 citations), Molecular Biology (134 citations), Infectious Diseases (29 citations), Small Animals (7 citations) and Parasitology (6 citations). Leandro A. Bugnon has collaborated with scholars based in Argentina, United Kingdom and United States. Frequent co-authors include Diego H. Milone, Georgina Stegmayer, Leandro E. Di Persia, M. Gérard, Federico Ariel, Emilio Fenoy, Milton Pividori, Laura Kamenetzky, Rafael A. Calvo and Gabriela Merino. Their work appears in journals such as Briefings in Bioinformatics, Bioinformatics, Data in Brief, Computers in Biology and Medicine and Patterns.

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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