Wendy Dam

1.0k citations
35 papers · 817 · h-index 12

Impact in

  • Oncology top 10%
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Immunotherapy and Biomarkers
  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies

Papers in

    • Fibroblast Growth Factor Research 3
    • Angiogenesis and VEGF in Cancer 3
    • Renal and related cancers 2
    • Lymphatic System and Diseases 4

Wendy Dam

34 papers receiving 803 citations

Peers

Wendy Dam
Comparison fields: 5 of 73
  • Oncology 373
  • Nephrology 53
  • Cancer Research 88
  • Hepatology 39
  • Critical Care and Intensive Care Medicine 22
Replace Adam Corken with:
Adam Corken United States
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Shinichi Nakanuma Japan
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Futoshi Iida Japan
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Wendy Dam relative to Adam Corken United States Adam Corken's profile →
Citations per field
00.5×2.6×
Adam Corken · 1×
Citations per year

Countries citing papers authored by Wendy Dam

Since Specialization
Citations

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

Fields of papers citing papers by Wendy Dam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003458
2 201352
3 200038
4 201233
5 201528
6 202324
7 200721
8 202217
9 201516
10 201415
11 201915
12 202011
13 20188
14 20208
15 20187
16 20217
17 20206
18 20216
19
Effect of CDT6 on factors of angiogenic balance in tumour cell lines.
20076
20 20215

About Wendy Dam

Wendy Dam is a scholar working on Molecular Biology, Oncology, Nephrology, Genetics and Surgery, having authored 35 papers that have together received 817 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Fibroblast Growth Factor Research (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Dialysis and Renal Disease Management (3 papers), Proteoglycans and glycosaminoglycans research (3 papers), Virus-based gene therapy research (3 papers) and Renal and related cancers (2 papers). The work is most often cited by research in Oncology (373 citations), Nephrology (53 citations), Cancer Research (88 citations), Hepatology (39 citations) and Critical Care and Intensive Care Medicine (22 citations). Wendy Dam has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Nanno H. Mulder, Coby Meijer, Geke A.P. Hospers, Yoka H. Kusumanto, Jacob van den Born, Gerjan Navis, Stephan J. L. Bakker, Elisabeth G.E. de Vries, Martin H. de Borst and Harry van Goor. Their work appears in journals such as American Journal of Physiology-Renal Physiology, International Journal of Cancer, PLoS ONE, Frontiers in Immunology and Journal of Personalized Medicine.

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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