André Forjaz

450 citations
15 papers · 182 · 1 hit paper · h-index 7

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis

Papers in

André Forjaz

12 papers receiving 179 citations

André Forjaz's Hit Papers

3D genomic mapping reveals multifocality of human pancreatic precancers 2024 · 89 citations
890+1Years since publication255075

Peers

André Forjaz
Comparison fields: 5 of 32
  • Health Informatics 8
  • Oncology 72
  • Modeling and Simulation 9
  • Biophysics 10
  • Cancer Research 12
Replace Rebecca Reichel with:
Rebecca Reichel United States
Erin R. Spiller United States
Cristina Almagro-Pérez United States
Falone C. Amoa United States
Maulik K. Nariya United States
Ulla‐Maija Haltia Finland
Praneeth Reddy Sudalagunta United States
Eirini Tsirvouli Norway
Shaimaa H. Bakr United States
Hendrik Hache Germany
André Forjaz relative to Rebecca Reichel United States Rebecca Reichel's profile →
Citations per field
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Rebecca Reichel · 1×
Citations per year

Countries citing papers authored by André Forjaz

Since Specialization
Citations

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

Fields of papers citing papers by André Forjaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André Forjaz. 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 André Forjaz. The network helps show where André Forjaz may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
3D genomic mapping reveals multifocality of human pancreatic precancers
Hit paper breakdown →
202489
2 202531
3 202416
4 20249
5 20248
6 20257
7 20257
8 20245
9 20254
10 20254
11 20251
12 20251
13 20260
14 20260
15 20260

About André Forjaz

André Forjaz is a scholar working on Oncology, Computer Vision and Pattern Recognition, Biophysics, Molecular Biology and Cell Biology, having authored 15 papers that have together received 182 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (5 papers), Single-cell and spatial transcriptomics (2 papers), 3D Printing in Biomedical Research (2 papers), Congenital heart defects research (1 paper), Anatomy and Medical Technology (1 paper), Gene Regulatory Network Analysis (1 paper), Medical Image Segmentation Techniques (1 paper) and Pancreatitis Pathology and Treatment (1 paper). The work is most often cited by research in Health Informatics (8 citations), Oncology (72 citations), Modeling and Simulation (9 citations), Biophysics (10 citations) and Cancer Research (12 citations). André Forjaz has collaborated with scholars based in United States, Spain and South Korea. Frequent co-authors include Denis Wirtz, Ashley L. Kiemen, Laura DeLong Wood, Pei-Hsun Wu, Ralph H. Hruban, Pei‐Hsun Wu, Mark A. Atkinson, Scott E. Kern, Saurabh Joshi and Meng‐Horng Lee. Their work appears in journals such as Nature Methods, JCI Insight, The American Journal of Surgical Pathology, Science Advances and Nature reviews. Cancer.

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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