Roland de Wind

2.5k total citations
8 papers, 74 citations indexed

About

Roland de Wind is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Biophysics. According to data from OpenAlex, Roland de Wind has authored 8 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Biophysics. Recurrent topics in Roland de Wind's work include Cancer Immunotherapy and Biomarkers (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Digital Imaging for Blood Diseases (2 papers). Roland de Wind is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Spectroscopy Techniques in Biomedical and Chemical Research (3 papers) and Digital Imaging for Blood Diseases (2 papers). Roland de Wind collaborates with scholars based in Belgium, United States and United Kingdom. Roland de Wind's co-authors include Soizic Garaud, Christos Sotiriou, Karen Willard‐Gallo, Christine Desmedt, Erik Goormaghtigh, Laurence Buisseret, Denis Larsimont, Anaïs Boisson, Céline Naveaux and Cinzia Solinas and has published in prestigious journals such as Annals of Oncology, The Analyst and European Journal of Nuclear Medicine and Molecular Imaging.

In The Last Decade

Roland de Wind

7 papers receiving 73 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roland de Wind Belgium	3	41	33	18	14	10	8	74
Sean Macdonald Australia	4	40 1.0×	30 0.9×	19 1.1×	13 0.9×	4 0.4×	6	65
Benjamin Woodhams United Kingdom	2	41 1.0×	22 0.7×	18 1.0×	6 0.4×	24 2.4×	3	76
Art Tucker United Kingdom	4	54 1.3×	44 1.3×	28 1.6×	12 0.9×	4 0.4×	5	75
Rohan Dasari United States	4	82 2.0×	54 1.6×	37 2.1×	10 0.7×	16 1.6×	6	104
Fiona G. M. Cooke United Kingdom	4	26 0.6×	9 0.3×	33 1.8×	4 0.3×	24 2.4×	5	80
Aylin Vance United States	5	23 0.6×	23 0.7×	106 5.9×	48 3.4×	22 2.2×	8	158
M. D. Malik United States	2	37 0.9×	3 0.1×	35 1.9×	9 0.6×	27 2.7×	2	78
P. Bartalini Switzerland	5	13 0.3×	7 0.2×	3 0.2×	10 0.7×	4 0.4×	11	111
Charlotte Kallaway United Kingdom	3	126 3.1×	99 3.0×	48 2.7×	19 1.4×	29 2.9×	4	158
Jan Michálek Czechia	6	11 0.3×	2 0.1×	28 1.6×	10 0.7×	17 1.7×	11	70

Countries citing papers authored by Roland de Wind

Since Specialization

Citations

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

Fields of papers citing papers by Roland de Wind

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland de Wind. 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 Roland de Wind. The network helps show where Roland de Wind may publish in the future.

Co-authorship network of co-authors of Roland de Wind

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

All Works

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8 of 8 papers shown

Karfis, Ioannis, et al.. (2025). The SCARLET trial: a prospective phase II study of somatostatin receptor imaging for potential radiotheranostic application in patients with relapsing and refractory multiple myeloma. European Journal of Nuclear Medicine and Molecular Imaging. 53(3). 1521–1531.

Solinas, Cinzia, Anaïs Boisson, David N. Brown, et al.. (2016). Tumor infiltrating lymphocytes and tertiary lymphoid structures in paired primary tumors and metastases from breast cancer patients. Annals of Oncology. 27. vi547–vi547. 4 indexed citations

Solinas, Cinzia, Laurence Buisseret, Soizic Garaud, et al.. (2015). Evaluation of PDL1 expression in breast cancer by immunohistochemistry. Annals of Oncology. 26. iii25–iii25. 2 indexed citations

Solinas, Cinzia, Laurence Buisseret, Soizic Garaud, et al.. (2015). PDL1 and PD1 expression by tumor infiltrating lymphocytes in primary breast cancer. Annals of Oncology. 26. vi4–vi4. 1 indexed citations

Garaud, Soizic, Roland de Wind, Christine Desmedt, et al.. (2015). Characterization of human breast cancer tissues by infrared imaging. The Analyst. 141(2). 606–619. 64 indexed citations

Wang, Xiaoxiao, Laurence Buisseret, Roland de Wind, et al.. (2014). Reproducibility of Assessing Immune Infiltration in Core Biopsies Compared to Primary Breast Tumors. Annals of Oncology. 25. i17–i17. 1 indexed citations

Garaud, Soizic, Laurence Buisseret, Hugues Duvillier, et al.. (2014). Characterization of Tumor Infiltrating Lymphocytes in Human Breast Cancer by Infrared Imaging. Annals of Oncology. 25. i19–i19. 1 indexed citations

Garaud, Soizic, Hugues Duvillier, Christine Desmedt, et al.. (2013). Infrared Imaging: a Potential New Tool to Characterize Lymphocytic Infiltration in Human Breast Cancer. Annals of Oncology. 24. iii40–iii40. 1 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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