M. Denijn

444 citations
10 papers · 376 · h-index 7

Impact in

Papers in

    • S100 Proteins and Annexins 3
    • Angiogenesis and VEGF in Cancer 2
    • Signaling Pathways in Disease 1
    • Peptidase Inhibition and Analysis 2

M. Denijn

10 papers receiving 357 citations

Peers

M. Denijn
Comparison fields: 5 of 64
  • Immunology and Allergy 97
  • Cancer Research 120
  • Oncology 117
  • Cell Biology 61
  • Immunology 78
Replace M C van Altena with:
M C van Altena Netherlands
Caroline M. Cardy United Kingdom
K Tomita Japan
Erica Lorenzon Switzerland
Lingge Lu Sweden
Paul R. Pierce United States
R G Russo United States
Judy Enenstein United States
Christine Grignet‐Debrus Belgium
Yasuyoshi Sohara Japan
M. Denijn relative to M C van Altena Netherlands M C van Altena's profile →
Citations per field
00.5×1.5×
M C van Altena · 1×
Citations per year

Countries citing papers authored by M. Denijn

Since Specialization
Citations

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

Fields of papers citing papers by M. Denijn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside M. Denijn, 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 M. Denijn Line = papers co-authored together M. Denijn links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Plasminogen activators, their inhibitors, and urokinase receptor emerge in late stages of melanocytic tumor progression.
1994133
2
Melanocyte lineage-specific antigens recognized by monoclonal antibodies NKI-beteb, HMB-50, and HMB-45 are encoded by a single cDNA.
199387
3
Angiogenesis in wound healing and tumor metastasis.
199348
4 199345
5 199028
6 199211
7 199210
8 19925
9 19935
10
Hybridohistochemical demonstration of alternative splicing of the CALC-I gene.
19914

About M. Denijn

M. Denijn is a scholar working on Molecular Biology, Oncology, Surgery, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 376 indexed citations. Recurring topics across this work include S100 Proteins and Annexins (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Neuropeptides and Animal Physiology (2 papers), Cell Adhesion Molecules Research (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Peptidase Inhibition and Analysis (2 papers), Pancreatic function and diabetes (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Immunology and Allergy (97 citations), Cancer Research (120 citations), Oncology (117 citations), Cell Biology (61 citations) and Immunology (78 citations). M. Denijn has collaborated with scholars based in Netherlands. Frequent co-authors include D. J. Ruiter, Hein W. Verspaget, Kiek Verrijp, Jan H. Verheijen, Paul H.A. Quax, Ulrich H. Weidle, T. J. de Vries, G N van Muijen, Roel A. de Weger and Arthur Vogel. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Apmis, Melanoma Research, The Journal of Pathology and Histochemistry and Cell Biology.

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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