Sabine Declercq

842 citations
15 papers · 594 · h-index 7

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • Cancer Genomics and Diagnostics
    • Breast Cancer Treatment Studies

Papers in

    • Artificial Intelligence in Healthcare and Education 2
    • Cancer Immunotherapy and Biomarkers 2
    • CAR-T cell therapy research 1

Sabine Declercq

15 papers receiving 571 citations

Peers

Sabine Declercq
Comparison fields: 5 of 50
  • Oncology 270
  • Cancer Research 133
  • Immunology 117
  • Radiology, Nuclear Medicine and Imaging 62
  • Biophysics 16
Replace Marcelo Luiz Balancin with:
Marcelo Luiz Balancin Brazil
Oi Harada Japan
José van den Berg Netherlands
S. Marin Finland
Milim Kim South Korea
Ka‐Won Noh Germany
Nicolas Signolle France
Fatiha Amira Bouhidel France
Yanjun Hou United States
Lucia Gelao Italy
Sabine Declercq relative to Marcelo Luiz Balancin Brazil Marcelo Luiz Balancin's profile →
Citations per field
00.5×1.5×
Marcelo Luiz Balancin · 1×
Citations per year

Countries citing papers authored by Sabine Declercq

Since Specialization
Citations

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

Fields of papers citing papers by Sabine Declercq

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2021193
2 2020156
3 2020126
4 199463
5 200715
6 200811
7 20258
8 20176
9 20136
10 20223
11 20203
12 20221
13 20241
14 20201
15 20251

About Sabine Declercq

Sabine Declercq is a scholar working on Health Informatics, Oncology, Surgery, Radiology, Nuclear Medicine and Imaging and Epidemiology, having authored 15 papers that have together received 594 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Cancer Genomics and Diagnostics (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), CAR-T cell therapy research (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), Cardiac and Coronary Surgery Techniques (1 paper) and Stoma care and complications (1 paper). The work is most often cited by research in Oncology (270 citations), Cancer Research (133 citations), Immunology (117 citations), Radiology, Nuclear Medicine and Imaging (62 citations) and Biophysics (16 citations). Sabine Declercq has collaborated with scholars based in Belgium, Australia and Netherlands. Frequent co-authors include Jozef Bultinck, Hilde Elisa Bortier, Mark M. Kockx, Guido R.Y. De Meyer, Paul J. Willemsen, Leo Hendrickx, Frederik Deman, Cécile Colpaert, Amélie Dendooven and Jutte van der Werff ten Bosch. Their work appears in journals such as npj Breast Cancer, Histopathology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Hernia and Obesity Surgery.

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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