Rianne Veenstra

402 total citations
9 papers, 180 citations indexed

About

Rianne Veenstra is a scholar working on Pathology and Forensic Medicine, Immunology and Oncology. According to data from OpenAlex, Rianne Veenstra has authored 9 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Rianne Veenstra's work include Lymphoma Diagnosis and Treatment (9 papers), Immune Cell Function and Interaction (6 papers) and Viral-associated cancers and disorders (4 papers). Rianne Veenstra is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), Immune Cell Function and Interaction (6 papers) and Viral-associated cancers and disorders (4 papers). Rianne Veenstra collaborates with scholars based in Netherlands, China and United Kingdom. Rianne Veenstra's co-authors include Arjan Diepstra, Anke van den Berg, Lydia Visser, Kushi Kushekhar, Philip M. Kluin, Marcel Nijland, Gustaaf W. van Imhoff, Chuanhui Xu, Ilja M. Nolte and Bouke G. Hepkema and has published in prestigious journals such as PLoS ONE, Cancers and OncoImmunology.

In The Last Decade

Rianne Veenstra

9 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rianne Veenstra Netherlands	7	113	112	100	28	18	9	180
Muhammed B. Sabdia Australia	6	66 0.6×	96 0.9×	55 0.6×	36 1.3×	11 0.6×	17	144
Pentti Mäntymaa Finland	12	66 0.6×	127 1.1×	98 1.0×	43 1.5×	26 1.4×	31	332
Machiko Tsukaguchi Japan	7	107 0.9×	102 0.9×	148 1.5×	76 2.7×	34 1.9×	10	259
Tengpeng Hu Denmark	7	105 0.9×	95 0.8×	83 0.8×	20 0.7×	8 0.4×	8	195
João Raposo Portugal	5	159 1.4×	81 0.7×	55 0.6×	21 0.8×	122 6.8×	21	202
Jana Mihályová Czechia	7	57 0.5×	136 1.2×	71 0.7×	90 3.2×	49 2.7×	16	251
Hideharu Muto Japan	5	53 0.5×	46 0.4×	51 0.5×	70 2.5×	24 1.3×	16	160
Rebecca Caeser United Kingdom	7	57 0.5×	119 1.1×	64 0.6×	104 3.7×	35 1.9×	12	213
Cliff I. Oduor United States	7	87 0.8×	124 1.1×	49 0.5×	80 2.9×	15 0.8×	18	226
Kelly M. Arcipowski United States	7	56 0.5×	102 0.9×	96 1.0×	102 3.6×	10 0.6×	7	250

Countries citing papers authored by Rianne Veenstra

Since Specialization

Citations

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

Fields of papers citing papers by Rianne Veenstra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rianne Veenstra

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

All Works

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9 of 9 papers shown

1.

Liu, Yichen, Debora de Jong, Jasper Koerts, et al.. (2022). The Role of the MYC/miR-150/MYB/ZDHHC11 Network in Hodgkin Lymphoma and Diffuse Large B-Cell Lymphoma. Genes. 13(2). 227–227. 7 indexed citations

2.

Veenstra, Rianne, Ilja M. Nolte, Bouke G. Hepkema, et al.. (2021). Interaction between ERAP Alleles and HLA Class I Types Support a Role of Antigen Presentation in Hodgkin Lymphoma Development. Cancers. 13(3). 414–414. 6 indexed citations

3.

Nolte, Ilja M., Kushi Kushekhar, Rianne Veenstra, et al.. (2021). HLA Expression in Relation to HLA Type in Classic Hodgkin Lymphoma Patients. Cancers. 13(22). 5833–5833. 5 indexed citations

4.

Fletcher, Luke B., Rianne Veenstra, Amie E. Hwang, et al.. (2017). HLA expression and HLA type associations in relation to EBV status in Hispanic Hodgkin lymphoma patients. PLoS ONE. 12(3). e0174457–e0174457. 7 indexed citations

5.

Nijland, Marcel, Rianne Veenstra, Lydia Visser, et al.. (2017). HLA dependent immune escape mechanisms in B-cell lymphomas: Implications for immune checkpoint inhibitor therapy?. OncoImmunology. 6(4). e1295202–e1295202. 79 indexed citations

6.

Wu, Rui, Marcel Nijland, Bea Rutgers, et al.. (2016). Proteomics Based Identification of Proteins with Deregulated Expression in B Cell Lymphomas. PLoS ONE. 11(1). e0146624–e0146624. 8 indexed citations

7.

Liu, Yuxuan, Anke van den Berg, Rianne Veenstra, et al.. (2013). PML Nuclear Bodies and SATB1 Are Associated with HLA Class I Expression in EBV+ Hodgkin Lymphoma. PLoS ONE. 8(8). e72930–e72930. 5 indexed citations

8.

Kushekhar, Kushi, Ilja M. Nolte, Lydia Visser, et al.. (2012). HLA Associations in Classical Hodgkin Lymphoma: EBV Status Matters. PLoS ONE. 7(7). e39986–e39986. 45 indexed citations

9.

Hepkema, Bouke G., Ilja M. Nolte, Kushi Kushekhar, et al.. (2012). HLA-A*02:07 Is a Protective Allele for EBV Negative and a Susceptibility Allele for EBV Positive Classical Hodgkin Lymphoma in China. PLoS ONE. 7(2). e31865–e31865. 18 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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