Isabelle da Piedade
- Molecular Biology top 1%
- Cancer Research top 0.2%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics top 10%
- Co-authors
- Philip MacMenaminKristin C. GunsalusMatthew N. PoyAzra KrekDominic GrünNikolaus RajewskyMarkus StoffelMan‐Hung Eric Tang
- Topics
- Genomics and Chromatin Dynamics (2 papers)RNA modifications and cancer (2 papers)Gene expression and cancer classification (2 papers)
- Partner nations
- DenmarkUnited StatesAustralia
In The Last Decade
Isabelle da Piedade
9 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 4.1k
- Cancer Research 3.2k
- Immunology 659
- Radiology, Nuclear Medicine and Imaging 390
- Genetics 238
Countries citing papers authored by Isabelle da Piedade
This map shows the geographic impact of Isabelle da Piedade'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 Isabelle da Piedade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Isabelle da Piedade more than expected).
Fields of papers citing papers by Isabelle da Piedade
This network shows the impact of papers produced by Isabelle da Piedade. 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 Isabelle da Piedade. The network helps show where Isabelle da Piedade may publish in the future.
Co-authorship network of co-authors of Isabelle da Piedade
This figure shows the co-authorship network connecting the top 25 collaborators of Isabelle da Piedade. A scholar is included among the top collaborators of Isabelle da Piedade 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 Isabelle da Piedade. Isabelle da Piedade is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 6 | |
| 3 | 31 | |
| 4 | 17 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 updatebreakdown → | 559 |
| 8 | Combinatorial microRNA target predictionsbreakdown → | 3783 |
| 9 | IMGT unique numbering for immunoglobulin and T cell receptor constant domains and Ig superfamily C-like domainsbreakdown → | 677 |
About Isabelle da Piedade
Isabelle da Piedade is a scholar working on Microbiology, Endocrinology and Immunology, having authored 9 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (2 papers), RNA modifications and cancer (2 papers) and Gene expression and cancer classification (2 papers). The work is most often cited by research in Cancer Research (3.2k citations), Molecular Biology (4.1k citations) and Immunology (659 citations). Isabelle da Piedade has collaborated with scholars based in Denmark, United States and Australia. Frequent co-authors include Philip MacMenamin, Kristin C. Gunsalus, Matthew N. Poy, Azra Krek, Dominic Grün, Nikolaus Rajewsky, Markus Stoffel, Man‐Hung Eric Tang, Ole Winther and Jan Christian Bryne. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Scientific Reports.
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.