Leen Slaets

10.4k citations
45 papers · 960 · h-index 16

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • Global Cancer Incidence and Screening
    • HER2/EGFR in Cancer Research

Papers in

    • Breast Cancer Treatment Studies 21
    • Cancer Genomics and Diagnostics 8
    • HER2/EGFR in Cancer Research 7

Leen Slaets

43 papers receiving 943 citations

Peers

Leen Slaets
Comparison fields: 5 of 84
  • Cancer Research 544
  • Oncology 436
  • Pathology and Forensic Medicine 282
  • Statistics and Probability 102
  • Dermatology 66
Replace Marcus Galea with:
Marcus Galea United Kingdom
Stephen Braye Australia
Artur Katz Brazil
D. A. Berry United States
Federico Rotolo France
Bronislava M. Sigal United States
Marissa C. van Maaren Netherlands
Nitin Roper United States
L. Tabár Sweden
M N Chang United States
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Citations per field
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Citations per year

Countries citing papers authored by Leen Slaets

Since Specialization
Citations

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

Fields of papers citing papers by Leen Slaets

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015254
2 201380
3 201768
4 201362
5 201456
6 201448
7 201445
8 201745
9 201344
10 201731
11 201523
12 201723
13
[Axillary lymph node dissection versus axillary radiotherapy in patients with a positive sentinel node: the AMAROS trial].
201517
14 201616
15 201215
16 201015
17 201714
18 201913
19 201710
20 201710

About Leen Slaets

Leen Slaets is a scholar working on Cancer Research, Oncology, Genetics, Pathology and Forensic Medicine and Molecular Biology, having authored 45 papers that have together received 960 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (21 papers), Cancer Genomics and Diagnostics (8 papers), HER2/EGFR in Cancer Research (7 papers), BRCA gene mutations in cancer (7 papers), Breast Lesions and Carcinomas (6 papers), Advanced Breast Cancer Therapies (5 papers), Hepatitis B Virus Studies (4 papers) and Time Series Analysis and Forecasting (4 papers). The work is most often cited by research in Cancer Research (544 citations), Oncology (436 citations), Pathology and Forensic Medicine (282 citations), Statistics and Probability (102 citations) and Dermatology (66 citations). Leen Slaets has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Emiel J. Rutgers, Konstantinos Tryfonidis, Gerda Claeskens, Ruud M. Pijnappel, Nicolas Dif, A. Elise van Leeuwen‐Stok, Nina Bijker, Victoria Skinner, Mia Hubert and Lotte E. Elshof. Their work appears in journals such as European Journal of Cancer, Cancer Research, Journal of Clinical Oncology, Annals of Oncology and Journal of Hepatology.

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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