Isabelle da Piedade

6.3k citations
9 papers · 5.1k indexed · 3 hit papers · h-index 7

Isabelle da Piedade

9 papers receiving 5.0k citations

Hit Papers

JASPAR, the open access database of transcription factor-...559200420262011201810002.0k3.0k

Peers

Isabelle da Piedade
Comparison fields: 5 of 131
  • Cancer Research 3.2k
  • Molecular Biology 4.1k
  • Immunology 659
  • Aging 44
  • Radiology, Nuclear Medicine and Imaging 390
Replace Elsa R. Flores with:
Elsa R. Flores United States
Chang‐Zheng Chen United States
Guanling Huang China
Doron Ginsberg Israel
Irina Khrebtukova United States
Ian Pitha United States
Cátálin Bárbácioru United States
Ravi Braich United States
Michele A. Cleary United States
Claudio Santoro Italy
Isabelle da Piedade relative to Elsa R. Flores United States Elsa R. Flores's profile →
Citations per field
00.5×4.5×
Elsa R. Flores · 1×
Citations per year

Countries citing papers authored by Isabelle da Piedade

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

9 of 9 papers shown
#Work
1 202224
2 20216
3 201931
4 201417
5 20132
6 20097
7
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 updatebreakdown →
2007559
8
Combinatorial microRNA target predictionsbreakdown →
20053783
9
IMGT unique numbering for immunoglobulin and T cell receptor constant domains and Ig superfamily C-like domainsbreakdown →
2004677

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), Gene expression and cancer classification (2 papers), Glycosylation and Glycoproteins Research (1 paper), Carbohydrate Chemistry and Synthesis (1 paper), Protein Structure and Dynamics (1 paper), Autophagy in Disease and Therapy (1 paper) and Phagocytosis and Immune Regulation (1 paper). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026