Liesbeth Boersma

10.6k total citations · 1 hit paper
176 papers, 7.0k citations indexed

About

Liesbeth Boersma is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Liesbeth Boersma has authored 176 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Radiology, Nuclear Medicine and Imaging, 62 papers in Pulmonary and Respiratory Medicine and 59 papers in Radiation. Recurrent topics in Liesbeth Boersma's work include Advanced Radiotherapy Techniques (59 papers), Breast Cancer Treatment Studies (57 papers) and Lung Cancer Diagnosis and Treatment (46 papers). Liesbeth Boersma is often cited by papers focused on Advanced Radiotherapy Techniques (59 papers), Breast Cancer Treatment Studies (57 papers) and Lung Cancer Diagnosis and Treatment (46 papers). Liesbeth Boersma collaborates with scholars based in Netherlands, Belgium and United States. Liesbeth Boersma's co-authors include Joos V. Lebesque, Philippe Lambin, Yvette Seppenwoolde, J. Belderbos, Katrien De Jaeger, Sara Müller, Dirk De Ruysscher, Angela van Baardwijk, Paul Baas and André Dekker and has published in prestigious journals such as Journal of Clinical Oncology, The Lancet Oncology and British Journal of Cancer.

In The Last Decade

Liesbeth Boersma

167 papers receiving 6.8k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ESTRO consensus guideline on target volume delineation for elective radiation therapy of early stage breast cancer

2015 485 citations Birgitte Vrou Offersen, Liesbeth Boersma et al. Radiotherapy and Oncology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liesbeth Boersma Netherlands	48	3.6k	3.5k	3.3k	1.5k	1.4k	176	7.0k
Coen Hurkmans Netherlands	38	3.0k 0.8×	2.7k 0.8×	3.4k 1.0×	1.4k 0.9×	881 0.6×	119	5.8k
Yolande Lievens Belgium	41	3.2k 0.9×	3.2k 0.9×	2.6k 0.8×	628 0.4×	1.6k 1.2×	190	6.4k
Filippo Alongi Italy	39	4.3k 1.2×	2.3k 0.7×	3.6k 1.1×	651 0.4×	1.1k 0.8×	320	6.7k
Marianne Aznar United Kingdom	38	2.5k 0.7×	2.6k 0.7×	3.1k 0.9×	1.3k 0.9×	641 0.5×	205	5.6k
Dirk De Ruysscher Netherlands	48	5.0k 1.4×	3.1k 0.9×	2.2k 0.6×	921 0.6×	2.8k 2.0×	237	8.4k
Lorenzo Livi Italy	36	2.6k 0.7×	1.5k 0.4×	1.5k 0.5×	1.7k 1.1×	1.7k 1.2×	391	6.0k
David Ball Australia	49	6.1k 1.7×	3.7k 1.0×	1.7k 0.5×	672 0.4×	2.7k 1.9×	251	9.3k
Vincent Khoo United Kingdom	47	7.2k 2.0×	3.0k 0.8×	3.6k 1.1×	1.5k 1.0×	2.6k 1.8×	227	11.4k
James A. Hayman United States	49	4.3k 1.2×	3.4k 1.0×	3.3k 1.0×	3.4k 2.2×	2.6k 1.9×	250	10.9k
Shankar Siva Australia	46	4.6k 1.3×	2.7k 0.8×	1.7k 0.5×	893 0.6×	1.9k 1.4×	313	7.3k

Countries citing papers authored by Liesbeth Boersma

Since Specialization

Citations

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

Fields of papers citing papers by Liesbeth Boersma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liesbeth Boersma

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

All Works

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20 of 20 papers shown

Roozendaal, Lori M. van, Johannes H.W. de Wilt, Thijs van Dalen, et al.. (2024). De-escalation of axillary treatment in the event of a positive sentinel lymph node biopsy in cT1–2 N0 breast cancer treated with mastectomy: nationwide registry study (BOOG 2013-07). British journal of surgery. 111(4). 6 indexed citations

Kaidar‐Person, Orit, Miri Sklair‐Levy, Rinat Bernstein‐Molho, et al.. (2024). Residual breast tissue after mastectomy and reconstruction: A substudy of the Spatial location of breast cancer local rECurRence aftEr masTectomy (SECRET) project. European Journal of Surgical Oncology. 50(11). 108607–108607. 2 indexed citations

Fijten, Rianne, Liesbeth Boersma, Petros Kalendralis, et al.. (2023). External validation of a prediction model for timely implementation of innovations in radiotherapy. Radiotherapy and Oncology. 179. 109459–109459. 3 indexed citations

Boersma, Liesbeth, Ingvil Mjaaland, & Frederieke van Duijnhoven. (2023). Regional radiotherapy after primary systemic treatment for cN+ breast cancer patients. The Breast. 68. 181–188. 4 indexed citations

Boersma, Liesbeth, M. Sattler, John H. Maduro, et al.. (2022). Model-Based Selection for Proton Therapy in Breast Cancer: Development of the National Indication Protocol for Proton Therapy and First Clinical Experiences. Clinical Oncology. 34(4). 247–257. 19 indexed citations

Boersma, Liesbeth, Marie-Jeanne T. F. D. Vrancken Peeters, Michel W.J.M. Wouters, et al.. (2022). Transparency in quality of radiotherapy for breast cancer in the Netherlands: a national registration of radiotherapy-parameters. Radiation Oncology. 17(1). 73–73. 5 indexed citations

Jacobs, Maria, Linda G.W. Kerkmeijer, Dirk De Ruysscher, et al.. (2021). Implementation of MR-linac and proton therapy in two radiotherapy departments in The Netherlands: Recommendations based on lessons learned. Radiotherapy and Oncology. 167. 14–24. 6 indexed citations

Kaidar‐Person, Orit, Philip Poortmans, Birgitte Vrou Offersen, et al.. (2021). A multidisciplinary approach for autologous breast reconstruction: A narrative (re)view for better management. Radiotherapy and Oncology. 157. 263–271. 9 indexed citations

Russell, Nicola S., Björn Winkens, Paulien G. Westhoff, et al.. (2021). A patient decision aid for breast cancer patients deciding on their radiation treatment, no change in decisional conflict but better informed choices. Technical Innovations & Patient Support in Radiation Oncology. 20. 1–9. 9 indexed citations

10.

Hurkmans, Coen, et al.. (2021). Harmonization of breast cancer radiotherapy treatment planning in the Netherlands. Technical Innovations & Patient Support in Radiation Oncology. 19. 26–32. 15 indexed citations

11.

Weide, Hiska L. van der, Miranda C.A. Kramer, D. Scandurra, et al.. (2020). Proton therapy for selected low grade glioma patients in the Netherlands. Radiotherapy and Oncology. 154. 283–290. 27 indexed citations

12.

Bosma, Sophie C.J., Marlous Hoogstraat, Erik van Werkhoven, et al.. (2020). A case-control study to identify molecular risk factors for local recurrence in young breast cancer patients. Radiotherapy and Oncology. 156. 127–135. 6 indexed citations

13.

Samiei, Sanaz, Liesbeth Boersma, Renée W. Y. Granzier, et al.. (2019). Risk of Positive Sentinel Lymph Node After Neoadjuvant Systemic Therapy in Clinically Node-Negative Breast Cancer: Implications for Postmastectomy Radiation Therapy and Immediate Breast Reconstruction. Annals of Surgical Oncology. 26(12). 3902–3909. 4 indexed citations

14.

Bours, Gerrie, et al.. (2019). Perceived facilitating and limiting factors for healthcare professionals to adopting a patient decision aid for breast cancer aftercare: A cross-sectional study. Patient Education and Counseling. 103(1). 145–151. 3 indexed citations

15.

Aalders, K.C., Emily L. Postma, Luc J. A. Strobbe, et al.. (2016). Contemporary Locoregional Recurrence Rates in Young Patients With Early-Stage Breast Cancer. Journal of Clinical Oncology. 34(18). 2107–2114. 39 indexed citations

16.

Loon, Judith van, Dirk De Ruysscher, Rinus Wanders, et al.. (2009). Selective Nodal Irradiation on Basis of 18FDG-PET Scans in Limited-Disease Small-Cell Lung Cancer: A Prospective Study. International Journal of Radiation Oncology*Biology*Physics. 77(2). 329–336. 111 indexed citations

17.

Bosmans, Geert, Hugo J.W.L. Aerts, Angela van Baardwijk, et al.. (2007). D7-05: FDG-PET allows identification of radioresistant areas within the tumor during and after radiation treatment of NSCLC. Journal of Thoracic Oncology. 2(8). S411–S412.

18.

Ruysscher, Dirk De, Rinus Wanders, Monique Hochstenbag, et al.. (2007). HI-CHART: A Phase I/II Study on the Feasibility of High-Dose Continuous Hyperfractionated Accelerated Radiotherapy in Patients With Inoperable Non–Small-Cell Lung Cancer. International Journal of Radiation Oncology*Biology*Physics. 71(1). 132–138. 31 indexed citations

19.

Dekker, André, Guy Bosmans, Jeroen Buijsen, et al.. (2005). Comparison between free breathing, slow and respiratory correlated CT in radiation treatment planning for lung cancer patients. Medical Physics. 32(6). 1945–1945.

20.

Seppenwoolde, Yvette, Sara Müller, Jacqueline Theuws, et al.. (2000). Radiation dose-effect relations and local recovery in perfusion for patients with non–small-cell lung cancer. International Journal of Radiation Oncology*Biology*Physics. 47(3). 681–690. 106 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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