Kyra E. van Wingerden

670 total citations
8 papers, 554 citations indexed

About

Kyra E. van Wingerden is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Kyra E. van Wingerden has authored 8 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Kyra E. van Wingerden's work include Drug Transport and Resistance Mechanisms (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Hepatitis B Virus Studies (2 papers). Kyra E. van Wingerden is often cited by papers focused on Drug Transport and Resistance Mechanisms (5 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers) and Hepatitis B Virus Studies (2 papers). Kyra E. van Wingerden collaborates with scholars based in Netherlands. Kyra E. van Wingerden's co-authors include Kees Nooter, G. Stoter, M J Flens, Pieter Sonneveld, Robert Oostrum, Henry Burger, Rudolph Willem, Marcel Gielen, Dick de Vos and Rik J. Scheper and has published in prestigious journals such as British Journal of Cancer, Annals of Oncology and International Journal of Cancer.

In The Last Decade

Kyra E. van Wingerden

8 papers receiving 539 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kyra E. van Wingerden Netherlands 7 410 202 165 97 72 8 554
Xiaoping Liu China 13 244 0.6× 308 1.5× 53 0.3× 17 0.2× 41 0.6× 29 582
Benjamin F. Chu United States 8 241 0.6× 209 1.0× 29 0.2× 48 0.5× 52 0.7× 8 517
Susan B. Gates United States 9 387 0.9× 348 1.7× 45 0.3× 100 1.0× 17 0.2× 11 837
G Gargano Italy 14 100 0.2× 186 0.9× 79 0.5× 56 0.6× 88 1.2× 42 591
Carol A. Cucchi United States 11 310 0.8× 445 2.2× 34 0.2× 69 0.7× 22 0.3× 15 734
Akira Kiue Japan 13 254 0.6× 243 1.2× 46 0.3× 107 1.1× 57 0.8× 16 453
Hideyuki Tanimura Japan 12 347 0.8× 297 1.5× 100 0.6× 34 0.4× 54 0.8× 16 574
Maria A.J. van Eijndhoven Netherlands 7 356 0.9× 258 1.3× 45 0.3× 19 0.2× 77 1.1× 8 520
Jesse R. Bewley United States 7 337 0.8× 294 1.5× 36 0.2× 93 1.0× 12 0.2× 9 734
M Selner Canada 9 402 1.0× 309 1.5× 76 0.5× 35 0.4× 34 0.5× 11 740

Countries citing papers authored by Kyra E. van Wingerden

Since Specialization
Citations

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

Fields of papers citing papers by Kyra E. van Wingerden

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyra E. van Wingerden. 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 Kyra E. van Wingerden. The network helps show where Kyra E. van Wingerden may publish in the future.

Co-authorship network of co-authors of Kyra E. van Wingerden

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

All Works

8 of 8 papers shown
1.
Burger, Herman, Kees Nooter, Antonius W.M. Boersma, et al.. (1999). Distinct p53-independent apoptotic cell death signalling pathways in testicular germ cell tumour cell lines. International Journal of Cancer. 81(4). 620–628. 65 indexed citations
2.
Burger, Herman, Kees Nooter, Antonius W.M. Boersma, et al.. (1999). Distinct p53‐independent apoptotic cell death signalling pathways in testicular germ cell tumour cell lines. International Journal of Cancer. 81(4). 620–628. 4 indexed citations
3.
Vos, Dick de, Rudolph Willem, Marcel Gielen, Kyra E. van Wingerden, & Kees Nooter. (1998). The Development of Novel Organotin Anti‐Tumor Drugs: Structure and Activity. Metal-Based Drugs. 5(4). 179–188. 95 indexed citations
4.
Nooter, Kees, T.C. Kok, Fred T. Bosman, Kyra E. van Wingerden, & G. Stoter. (1998). Expression of the multidrug resistance protein (MRP) in squamous cell carcinoma of the oesophagus and response to pre-operative chemotherapy. European Journal of Cancer. 34(1). 81–86. 23 indexed citations
5.
Nooter, Kees, Guy Brutel de la Rivière, Maxime P. Look, et al.. (1997). The prognostic significance of expression of the multidrug resistance-associated protein (MRP) in primary breast cancer. British Journal of Cancer. 76(4). 486–493. 116 indexed citations
6.
Nooter, Kees, Fred T. Bosman, Henry Burger, et al.. (1996). Expression of the multidrug resistance-associated protein (MRP) gene in primary non-small-cell lung cancer. Annals of Oncology. 7(1). 75–81. 60 indexed citations
7.
Nooter, Kees, Anne Marie Westerman, M J Flens, et al.. (1995). Expression of the multidrug resistance-associated protein (MRP) gene in human cancers.. PubMed. 1(11). 1301–10. 148 indexed citations
8.
Burger, Herman, Kees Nooter, Pieter Sonneveld, et al.. (1994). High expression of the multidrug resistance‐associated protein (MRP) in chronic and prolymphocytic leukaemia. British Journal of Haematology. 88(2). 348–356. 43 indexed citations

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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