Michael De Lay

1.1k citations
10 papers · 900 indexed · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Metabolism, Diabetes, and Cancer 1
    • Glioma Diagnosis and Treatment 3
    • Chronic Lymphocytic Leukemia Research 2

Michael De Lay

10 papers receiving 885 citations

Peers

Michael De Lay
Comparison fields: 5 of 62
  • Cancer Research 387
  • Genetics 224
  • Immunology 171
  • Molecular Biology 546
  • Oncology 206
Replace Ingrid Moen with:
Ingrid Moen Norway
Svenja Zapf Germany
Tushar Tomar Netherlands
Shaoyan Xi China
Mine Esencay United States
Ulrike Ulbricht Germany
Amber Heath United States
Olga Méndez Spain
Catherine Richon France
Marianne Kastemar Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Michael De Lay

Since Specialization
Citations

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

Fields of papers citing papers by Michael De Lay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2010350
2 2013161
3 2017111
4 200697
5 201762
6 201254
7 201752
8 20158
9 20164
10 20071

About Michael De Lay

Michael De Lay is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Pathology and Forensic Medicine, having authored 10 papers that have together received 900 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Glioma Diagnosis and Treatment (3 papers), Cell Adhesion Molecules Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Nuclear Receptors and Signaling (2 papers), Macrophage Migration Inhibitory Factor (2 papers), MicroRNA in disease regulation (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Cancer Research (387 citations), Genetics (224 citations), Immunology (171 citations), Molecular Biology (546 citations) and Oncology (206 citations). Michael De Lay has collaborated with scholars based in United States and Japan. Frequent co-authors include Manish K. Aghi, Arman Jahangiri, Agnieszka Bronisz, E. Antonio Chiocca, Sean Lawler, James R. Van Brocklyn, Michael C. Ostrowski, Jeff Palatini, Gerard J. Nuovo and Jakub Godlewski. Their work appears in journals such as Blood, Autophagy, Clinical Cancer Research, Neurosurgery and Molecular Cell.

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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