Anita M.A.C. Trapman

466 citations
7 papers · 378 indexed · h-index 6
Topics
HER2/EGFR in Cancer Research (4 papers)Cancer Genomics and Diagnostics (2 papers)Cancer-related Molecular Pathways (2 papers)

In The Last Decade

Anita M.A.C. Trapman

7 papers receiving 366 citations

Peers

Anita M.A.C. Trapman
Comparison fields: 5 of 39
  • Oncology 219
  • Molecular Biology 187
  • Cancer Research 143
  • Genetics 67
  • Endocrinology, Diabetes and Metabolism 66
Replace Boris Freydin with:
Boris Freydin United States
Golareh Habibi Canada
Zhefu Ma United States
RA Walker United Kingdom
Manuela Kohler Germany
José Roberto Fígaro Caldeira Brazil
Charles Sinclair United Kingdom
Ulla Delle Sweden
K Ito Japan
M M Louchez France
Anita M.A.C. Trapman relative to Boris Freydin United States Boris Freydin's profile →
Citations per field
00.5×1.5×
Boris Freydin · 1×
Citations per year

Countries citing papers authored by Anita M.A.C. Trapman

Since Specialization
Citations

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

Fields of papers citing papers by Anita M.A.C. Trapman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anita M.A.C. Trapman. 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 Anita M.A.C. Trapman. The network helps show where Anita M.A.C. Trapman may publish in the future.

Co-authorship network of co-authors of Anita M.A.C. Trapman

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2 30
3 2
4 6
5 74
6 71
7
Prognostic value of receptors for insulin-like growth factor 1, somatostatin, and epidermal growth factor in human breast cancer.
190

About Anita M.A.C. Trapman

Anita M.A.C. Trapman is a scholar working on Oncology, Cancer Research and Immunology and Allergy, having authored 7 papers that have together received 378 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (143 citations), Oncology (219 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Anita M.A.C. Trapman has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include John A. Foekens, Henk Portengen, W L van Putten, J. Alexieva-Figusch, Jean Claude Reubi, Mieke Timmermans, Jan G.M. Klijn, Anieta M. Sieuwerts, Marion E. Meijer‐van Gelder and Maxime P. Look. Their work appears in journals such as Scientific Reports, Clinical Cancer Research and Annals of Oncology.

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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