Sanne de Wit

1.0k total citations
15 papers, 694 citations indexed

About

Sanne de Wit is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Sanne de Wit has authored 15 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Cancer Research. Recurrent topics in Sanne de Wit's work include Cancer Cells and Metastasis (13 papers), Cancer Genomics and Diagnostics (6 papers) and Extracellular vesicles in disease (4 papers). Sanne de Wit is often cited by papers focused on Cancer Cells and Metastasis (13 papers), Cancer Genomics and Diagnostics (6 papers) and Extracellular vesicles in disease (4 papers). Sanne de Wit collaborates with scholars based in Netherlands, United States and Germany. Sanne de Wit's co-authors include Leon W.M.M. Terstappen, Harry J.M. Groen, Guus van Dalum, T. Jeroen N. Hiltermann, C.J.M. van Rijn, Arjan G.J. Tibbe, Leonie L. Zeune, Aufried Lenferink, Menno Tamminga and Wim Timens and has published in prestigious journals such as Cancer Research, Scientific Reports and Clinical Cancer Research.

In The Last Decade

Sanne de Wit

15 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sanne de Wit Netherlands	11	479	361	205	176	146	15	694
Kiki Andree Netherlands	10	338 0.7×	224 0.6×	130 0.6×	89 0.5×	182 1.2×	19	522
Leonie L. Zeune Netherlands	11	294 0.6×	257 0.7×	226 1.1×	99 0.6×	138 0.9×	14	524
Luan Nguyen Netherlands	9	501 1.0×	386 1.1×	432 2.1×	188 1.1×	70 0.5×	14	913
Rui P. Neves Germany	16	659 1.4×	680 1.9×	474 2.3×	166 0.9×	218 1.5×	28	1.1k
Fangmeng Fu China	15	211 0.4×	286 0.8×	293 1.4×	130 0.7×	87 0.6×	66	744
Cha-Mei Tang United States	11	493 1.0×	270 0.7×	172 0.8×	171 1.0×	211 1.4×	16	721
Lori E. Lowes Canada	16	508 1.1×	416 1.2×	224 1.1×	263 1.5×	236 1.6×	24	838
Eugenia R. Zanella Italy	7	399 0.8×	213 0.6×	313 1.5×	113 0.6×	49 0.3×	14	668
Luis Enrique Cortés‐Hernández France	12	323 0.7×	250 0.7×	187 0.9×	82 0.5×	122 0.8×	18	514
Amine Sahmoud United States	4	402 0.8×	284 0.8×	449 2.2×	56 0.3×	131 0.9×	9	790

Countries citing papers authored by Sanne de Wit

Since Specialization

Citations

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

Fields of papers citing papers by Sanne de Wit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanne de Wit

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

All Works

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15 of 15 papers shown

1.

Nanou, Afroditi, Michael Craig Miller, Leonie L. Zeune, et al.. (2020). Tumour-derived extracellular vesicles in blood of metastatic cancer patients associate with overall survival. British Journal of Cancer. 122(6). 801–811. 64 indexed citations

2.

Zeune, Leonie L., Guus van Dalum, Afroditi Nanou, et al.. (2020). Deep learning of circulating tumour cells. Nature Machine Intelligence. 2(2). 124–133. 63 indexed citations

3.

Tamminga, Menno, Sanne de Wit, Caroline Van De Wauwer, et al.. (2019). Analysis of Released Circulating Tumor Cells During Surgery for Non-Small Cell Lung Cancer. Clinical Cancer Research. 26(7). 1656–1666. 29 indexed citations

4.

Tamminga, Menno, Sanne de Wit, T. Jeroen N. Hiltermann, et al.. (2019). Circulating tumor cells in advanced non-small cell lung cancer patients are associated with worse tumor response to checkpoint inhibitors. Journal for ImmunoTherapy of Cancer. 7(1). 173–173. 93 indexed citations

5.

Tamminga, Menno, Sanne de Wit, Ed Schuuring, et al.. (2019). Circulating tumor cells in lung cancer are prognostic and predictive for worse tumor response in both targeted- and chemotherapy. Translational Lung Cancer Research. 8(6). 854–861. 30 indexed citations

6.

Nanou, Afroditi, Leonie L. Zeune, Sanne de Wit, et al.. (2019). Abstract 4464: Tumor-derived extracellular vesicles in blood of metastatic breast, colorectal, prostate, and non-small cell lung cancer patients associate with worse survival. Cancer Research. 79(13_Supplement). 4464–4464. 2 indexed citations

7.

Nanou, Afroditi, Leonie L. Zeune, Sanne de Wit, et al.. (2019). Abstract 4464: Tumor-derived extracellular vesicles in blood of metastatic breast, colorectal, prostate, and non-small cell lung cancer patients associate with worse survival. 4464–4464. 1 indexed citations

8.

Wit, Sanne de, Elisabetta Rossi, Sabrina Weber, et al.. (2018). Single tube liquid biopsy for advanced non‐small cell lung cancer. International Journal of Cancer. 144(12). 3127–3137. 46 indexed citations

9.

Zeune, Leonie L., et al.. (2018). How to Agree on a CTC: Evaluating the Consensus in Circulating Tumor Cell Scoring. Cytometry Part A. 93(12). 1202–1206. 32 indexed citations

10.

Wit, Sanne de, Leonie L. Zeune, T. Jeroen N. Hiltermann, et al.. (2018). Classification of Cells in CTC-Enriched Samples by Advanced Image Analysis. Cancers. 10(10). 377–377. 33 indexed citations

11.

Wit, Sanne de, Guus van Dalum, Aufried Lenferink, et al.. (2015). The detection of EpCAM+ and EpCAM– circulating tumor cells. Scientific Reports. 5(1). 12270–12270. 214 indexed citations

12.

Wit, Sanne de, Guus van Dalum, Aufried Lenferink, et al.. (2015). Abstract 377: EpCAM+ and EpCAM- circulating tumor cells in metastatic lung cancer. Cancer Research. 75(15_Supplement). 377–377. 1 indexed citations

13.

Wit, Sanne de, Guus van Dalum, & Leon W.M.M. Terstappen. (2014). Detection of Circulating Tumor Cells. Scientifica. 2014. 1–11. 60 indexed citations

14.

Wit, Sanne de, Guus van Dalum, Aufried Lenferink, et al.. (2014). Abstract 4825: Circulating tumor cells in metastatic lung cancer enriched by EpCAM expression and physical characteristics. Cancer Research. 74(19_Supplement). 4825–4825. 2 indexed citations

15.

Wit, Sanne de & F. J. Cleton. (1994). Hypercalcemia in patients with breast cancer: a survival study. Journal of Cancer Research and Clinical Oncology. 120(10). 610–614. 24 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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