Henry Heberle
Impact in
- Molecular Biology top 10%
- RNA modifications and cancer
- Gut microbiota and health
- Bioinformatics and Genomic Networks
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Scientific Computing and Data Management 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Rosane MinghimGuilherme P. TellesGabriela Vaz MeirellesFelipe Rodrigues da SilvaJulian HeinrichSebastian SchmidtFloriane MontanariMarcelo Falsarella Carazzolle
- Journals
- Journal of Cheminformatics (3 papers)BMC Bioinformatics (2 papers)Journal of Computer Science and Technology (1 paper)SHILAP Revista de lepidopterología (1 paper)
In The Last Decade
Henry Heberle
7 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Molecular Biology 825
- Cancer Research 167
- Plant Science 281
- Aging 13
- Periodontics 32
Countries citing papers authored by Henry Heberle
This map shows the geographic impact of Henry Heberle'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 Henry Heberle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Heberle more than expected).
Fields of papers citing papers by Henry Heberle
This network shows the impact of papers produced by Henry Heberle. 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 Henry Heberle. The network helps show where Henry Heberle may publish in the future.
Co-authors
The 16 scholars most cited alongside Henry Heberle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 13 | |
| 3 | 2022 | 18 | |
| 4 | 2022 | 8 | |
| 5 | 2017 | 15 | |
| 6 | InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams Hit paper breakdown → | 2015 | 1722 |
| 7 | 2012 | 11 |
About Henry Heberle
Henry Heberle is a scholar working on Information Systems and Management, Computational Theory and Mathematics, Biophysics, Computer Vision and Pattern Recognition and Materials Chemistry, having authored 7 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (4 papers), Computational Drug Discovery Methods (3 papers), Data Visualization and Analytics (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Computing and Data Management (2 papers), Multimedia Communication and Technology (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Molecular Biology (825 citations), Cancer Research (167 citations), Plant Science (281 citations), Aging (13 citations) and Periodontics (32 citations). Henry Heberle has collaborated with scholars based in Germany, Brazil and Austria. Frequent co-authors include Rosane Minghim, Guilherme P. Telles, Gabriela Vaz Meirelles, Felipe Rodrigues da Silva, Julian Heinrich, Sebastian Schmidt, Floriane Montanari, Marcelo Falsarella Carazzolle, Rafael M. Martins and Hélio Pedrini. Their work appears in journals such as Journal of Cheminformatics, BMC Bioinformatics, Journal of Computer Science and Technology and SHILAP Revista de lepidopterología.
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.