Michael Reedijk

4.8k citations
51 papers · 3.9k · 1 hit paper · h-index 33

Impact in

Papers in

    • Developmental Biology and Gene Regulation 9
    • Metabolism, Diabetes, and Cancer 5
    • TGF-β signaling in diseases 5
    • Epigenetics and DNA Methylation 4
    • Cancer Cells and Metastasis 8
    • Cancer Immunotherapy and Biomarkers 5

Michael Reedijk

50 papers receiving 3.8k citations

Michael Reedijk's Hit Papers

High-level Coexpression of JAG1 and NOTCH1 Is Observed in Human Breast Cancer and Is Associated with Poor Overall Survival 2005 · 641 citations
6410+7+14Years since publication200400600

Peers

Michael Reedijk
Comparison fields: 5 of 103
  • Oncology 1.2k
  • Cancer Research 649
  • Molecular Biology 2.4k
  • Immunology and Allergy 191
  • Immunology 610
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Viví Ann Flørenes Norway
Oddbjørn Straume Norway
Olga Aprelikova United States
Seth A. Ettenberg United States
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Michael Reedijk relative to Yoshinori Ino Japan Yoshinori Ino's profile →
Citations per field
00.5×1.5×
Yoshinori Ino · 1×
Citations per year

Countries citing papers authored by Michael Reedijk

Since Specialization
Citations

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

Fields of papers citing papers by Michael Reedijk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
High-level Coexpression of JAG1 and NOTCH1 Is Observed in Human Breast Cancer and Is Associated with Poor Overall Survival
Hit paper breakdown →
2005641
2 1991240
3 1992228
4 2012200
5 1992182
6 2007169
7 2011161
8 1990147
9 2009136
10 2010125
11 2007121
12 2013112
13 201796
14 199294
15 201590
16 201886
17 199882
18 201275
19 201373
20 201371

About Michael Reedijk

Michael Reedijk is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Cell Biology, having authored 51 papers that have together received 3.9k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (9 papers), Cancer Cells and Metastasis (8 papers), Immune cells in cancer (6 papers), Metabolism, Diabetes, and Cancer (5 papers), Breast Cancer Treatment Studies (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), TGF-β signaling in diseases (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (649 citations), Molecular Biology (2.4k citations), Immunology and Allergy (191 citations) and Immunology (610 citations). Michael Reedijk has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Tony Pawson, David R. McCready, Hui Zhang, Sean E. Egan, Gina Lockwood, X. Johné Liu, Naomi Miller, Silvia Odorcic, Lynn Chang and Alan Bernstein. Their work appears in journals such as Molecular and Cellular Biology, Cancer Research, Breast Cancer Research and Treatment, Journal of Clinical Oncology and Proceedings of the National Academy of Sciences.

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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