Sheyla Trefflich
Impact in
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- Cancer-related molecular mechanisms research
Papers in
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- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Gene Regulatory Network Analysis 2
- Machine Learning in Bioinformatics 1
- Microbial Metabolic Engineering and Bioproduction 1
- RNA Research and Splicing 1
- Genetics 1
- Genetic Mapping and Diversity in Plants and Animals 1
- Co-authors
- Mauro A. A. Castro (6 shared papers)Vinícius Almir Weiss (1 shared paper)Leonardo M. Cruz (1 shared paper)Kerstin B. Meyer (2 shared papers)Rodrigo Juliani Siqueira Dalmolin (3 shared papers)Vinicius S Chagas (2 shared papers)Bruce A.J. Ponder (2 shared papers)Clarice S. Groeneveld (3 shared papers)
- Journals
- Bioinformatics (2 papers)International Journal of Molecular Sciences (1 paper)Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (1 paper)Molecular Biology and Evolution (1 paper)Methods in molecular biology (1 paper)
- Partner nations
- BrazilUnited KingdomSweden
In The Last Decade
Sheyla Trefflich
6 papers receiving 70 citations
Peers
Comparison fields: 5 of 41
- Cancer Research 12
- Parasitology 5
- Molecular Biology 52
- Aging 1
- Computational Theory and Mathematics 6
Countries citing papers authored by Sheyla Trefflich
This map shows the geographic impact of Sheyla Trefflich'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 Sheyla Trefflich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sheyla Trefflich more than expected).
Fields of papers citing papers by Sheyla Trefflich
This network shows the impact of papers produced by Sheyla Trefflich. 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 Sheyla Trefflich. The network helps show where Sheyla Trefflich may publish in the future.
Co-authors
The 21 scholars most cited alongside Sheyla Trefflich, 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 | 2017 | 41 | |
| 2 | 2019 | 14 | |
| 3 | 2021 | 5 | |
| 4 | 2021 | 5 | |
| 5 | 2019 | 4 | |
| 6 | 2024 | 2 |
About Sheyla Trefflich
Sheyla Trefflich is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Organic Chemistry, having authored 6 papers that have together received 71 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Gene Regulatory Network Analysis (2 papers), Machine Learning in Bioinformatics (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), Cancer-related molecular mechanisms research (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cancer Research (12 citations), Parasitology (5 citations), Molecular Biology (52 citations), Aging (1 citation) and Computational Theory and Mathematics (6 citations). Sheyla Trefflich has collaborated with scholars based in Brazil, United Kingdom and Sweden. Frequent co-authors include Mauro A. A. Castro, Vinícius Almir Weiss, Leonardo M. Cruz, Kerstin B. Meyer, Rodrigo Juliani Siqueira Dalmolin, Vinicius S Chagas, Bruce A.J. Ponder, Clarice S. Groeneveld, A. Gordon Robertson and José Miguel Ortega. Their work appears in journals such as Bioinformatics, International Journal of Molecular Sciences, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Molecular Biology and Evolution and Methods in molecular 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.