Mieke Timmermans

5.9k citations
42 papers · 4.5k indexed · 2 hit papers · h-index 24
Topics
Cancer Cells and Metastasis (8 papers)Molecular Biology Techniques and Applications (7 papers)Cancer Genomics and Diagnostics (6 papers)
Journals
The LancetNature CommunicationsSHILAP Revista de lepidopterología

In The Last Decade

Mieke Timmermans

41 papers receiving 4.4k citations

Hit Papers

Gene-expression profiles to predict distant metastasis of...20052026201220192005200550010001.5k2.0k

Peers

Mieke Timmermans
Comparison fields: 5 of 119
  • Molecular Biology 3.0k
  • Cancer Research 1.7k
  • Oncology 1.6k
  • Genetics 552
  • Pulmonary and Respiratory Medicine 422
Replace Fei Yang with:
Fei Yang China
Jack X. Yu United States
Dmitri Talantov United States
Johanna Smeds Sweden
Pierre Farmer Switzerland
Danila Coradini Italy
Vessela N. Kristensen Norway
Els M.J.J. Berns Netherlands
Amir A. Jazaeri United States
Dimitry S.A. Nuyten United States
Mieke Timmermans relative to Fei Yang China Fei Yang's profile →
Citations per field
00.5×1.5×
Fei Yang · 1×
Citations per year

Countries citing papers authored by Mieke Timmermans

Since Specialization
Citations

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

Fields of papers citing papers by Mieke Timmermans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mieke Timmermans

This figure shows the co-authorship network connecting the top 25 collaborators of Mieke Timmermans. A scholar is included among the top collaborators of Mieke Timmermans 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 Mieke Timmermans. Mieke Timmermans is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 5
4 0
5 135
6 60
7 36
8 37
9 32
10 100
11 6
12 103
13 49
14 1
15 35
16 31
17 70
18 67
19
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancerbreakdown →
2097
20 46

About Mieke Timmermans

Mieke Timmermans is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 42 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), Molecular Biology Techniques and Applications (7 papers) and Cancer Genomics and Diagnostics (6 papers). The work is most often cited by research in Cancer Research (1.7k citations), Oncology (1.6k citations) and Molecular Biology (3.0k citations). Mieke Timmermans has collaborated with scholars based in Netherlands, United States and Denmark. Frequent co-authors include Anieta M. Sieuwerts, Maxime P. Look, Fei Yang, Jack X. Yu, Dmitri Talantov, John A. Foekens, Jan G.M. Klijn, Marion E. Meijer‐van Gelder, Els M.J.J. Berns and David Atkins. Their work appears in journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

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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