Carla Wauters

1.5k total citations
41 papers, 1.0k citations indexed

About

Carla Wauters is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, Carla Wauters has authored 41 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pathology and Forensic Medicine, 21 papers in Cancer Research and 15 papers in Oncology. Recurrent topics in Carla Wauters's work include Breast Lesions and Carcinomas (21 papers), Breast Cancer Treatment Studies (19 papers) and Cancer and Skin Lesions (8 papers). Carla Wauters is often cited by papers focused on Breast Lesions and Carcinomas (21 papers), Breast Cancer Treatment Studies (19 papers) and Cancer and Skin Lesions (8 papers). Carla Wauters collaborates with scholars based in Netherlands, Sweden and Germany. Carla Wauters's co-authors include Luc J. A. Strobbe, Th. Wobbes, T.J.M. Ruers, Bauke Kooistra, Hanneke Joosten, M Pruszczyński, Peter Bult, Jeroen van der Laak, Maschenka Balkenhol and Marjolein L. Smidt and has published in prestigious journals such as PLoS ONE, Cancer and British journal of surgery.

In The Last Decade

Carla Wauters

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla Wauters Netherlands 17 388 323 307 301 245 41 1.0k
Olorunsola F. Agbaje United Kingdom 15 438 1.1× 262 0.8× 138 0.4× 153 0.5× 201 0.8× 26 971
Manohar Pradhan Norway 15 356 0.9× 291 0.9× 135 0.4× 102 0.3× 240 1.0× 50 1.1k
Michael Koretz Israel 13 355 0.9× 246 0.8× 293 1.0× 158 0.5× 178 0.7× 30 804
Sara Kochanny United States 16 341 0.9× 205 0.6× 67 0.2× 232 0.8× 261 1.1× 37 1.0k
Shir‐Hwa Ueng Taiwan 23 459 1.2× 408 1.3× 424 1.4× 357 1.2× 192 0.8× 78 1.8k
Neil Sharma United Kingdom 17 239 0.6× 200 0.6× 110 0.4× 243 0.8× 105 0.4× 69 894
Andrey Bychkov Japan 26 307 0.8× 95 0.3× 151 0.5× 410 1.4× 312 1.3× 93 1.8k
Mark J. Dryden United States 14 398 1.0× 466 1.4× 384 1.3× 98 0.3× 230 0.9× 24 1.1k
Gordon Hutchins United Kingdom 14 1.0k 2.7× 283 0.9× 546 1.8× 271 0.9× 85 0.3× 26 1.4k
Alexis V. Nees United States 17 160 0.4× 394 1.2× 465 1.5× 228 0.8× 440 1.8× 33 1.0k

Countries citing papers authored by Carla Wauters

Since Specialization
Citations

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

Fields of papers citing papers by Carla Wauters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Wauters

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

All Works

20 of 20 papers shown
1.
Creytens, David, Ariadne H.A.G. Ooms, Heidi V.N. Küsters‐Vandevelde, et al.. (2022). Computer-Aided Assessment of Melanocytic Lesions by Means of a Mitosis Algorithm. Diagnostics. 12(2). 436–436. 11 indexed citations
2.
Stijns, Rutger C. H., Irıs D. Nagtegaal, Fatih Polat, et al.. (2021). USPIO-enhanced MRI of lymph nodes in rectal cancer: A node-to-node comparison with histopathology. European Journal of Radiology. 138. 109636–109636. 19 indexed citations
3.
4.
Eijkelenboom, Astrid, et al.. (2017). CTNNB1-mutated melanocytic lesions with DPN like features: a distinct subtype of melanocytic tumors? A report of two cases. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 472(4). 683–687. 1 indexed citations
5.
Siebers, Albert G., Leon F.A.G. Massuger, J.C. van der Linden, et al.. (2017). High-risk human papillomavirus detection in self-sampling compared to physician-taken smear in a responder population of the Dutch cervical screening: Results of the VERA study. Preventive Medicine. 101. 96–101. 69 indexed citations
6.
Wauters, Carla, et al.. (2016). Modified Core Wash Cytology: A reliable same day biopsy result for breast clinics. European Journal of Surgical Oncology. 42(12). 1821–1826. 2 indexed citations
7.
Roozendaal, Lori M. van, B. Goorts, Kristien Keymeulen, et al.. (2016). Sentinel lymph node biopsy can be omitted in DCIS patients treated with breast conserving therapy. Breast Cancer Research and Treatment. 156(3). 517–525. 47 indexed citations
8.
Chung, Justin, et al.. (2016). Does Nipple Discharge Color Predict (pre‐) Malignant Breast Pathology?. The Breast Journal. 22(2). 202–208. 8 indexed citations
9.
Veltkamp, Marcel, et al.. (2015). Propionibacterium acnes isolated from lymph nodes of patients with sarcoidosis.. PubMed. 32(3). 271–4. 17 indexed citations
10.
Wely, Bob J. van, et al.. (2013). Ultrasound-guided fine-needle aspiration of suspicious nodes in breast cancer patients; selecting patients with extensive nodal involvement. Breast Cancer Research and Treatment. 140(1). 113–118. 30 indexed citations
11.
Pepels, Manon J., Carla Wauters, R.F.M. Schapers, et al.. (2013). Is the sentinel lymph node pathology protocol in breast cancer patients associated with the risk of regional recurrence?. European Journal of Surgical Oncology. 39(5). 437–441. 4 indexed citations
12.
Wauters, Carla, et al.. (2012). Contribution of CSF cytology in the diagnostic work-up of breast cancer patients with neurological symptoms: a retrospective analysis over two decades. Journal of Neuro-Oncology. 107(3). 581–589. 4 indexed citations
13.
Kooistra, Bauke, Carla Wauters, Th. Wobbes, & Luc J. A. Strobbe. (2011). Conclusiveness of fine needle aspiration in 2419 histologically confirmed benign and malignant breast lesions. The Breast. 20(3). 229–232. 8 indexed citations
14.
Wauters, Carla, Bauke Kooistra, & Luc J. A. Strobbe. (2009). The role of laboratory processing in determining diagnostic conclusiveness of breast fine needle aspirations: conventional smearing versus a monolayer preparation. Journal of Clinical Pathology. 62(10). 931–934. 7 indexed citations
15.
Wauters, Carla, et al.. (2009). Modified core wash cytology procedure for the immediate diagnosis of core needle biopsies of breast lesions. Cancer Cytopathology. 117(5). 333–337. 8 indexed citations
16.
17.
Kooistra, Bauke, Carla Wauters, & Luc J. A. Strobbe. (2008). Indeterminate Breast Fine-Needle Aspiration: Repeat Aspiration or Core Needle Biopsy?. Annals of Surgical Oncology. 16(2). 281–284. 16 indexed citations
18.
Wely, Bob J. van, et al.. (2008). False-negative sentinel lymph node biopsy. British journal of surgery. 95(11). 1352–1355. 17 indexed citations
19.
Kooistra, Bauke, et al.. (2008). The diagnostic value of nipple discharge cytology in 618 consecutive patients. European Journal of Surgical Oncology. 35(6). 573–577. 40 indexed citations
20.
Bonjer, H. J., et al.. (1996). An unusual case of multiple endocrine neoplasia type 1 and the role of In-pentetreotide scintigraphy. The Netherlands Journal of Medicine. 49(3). 112–115. 2 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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