Robbert J. de Haas

5.8k total citations
101 papers, 3.5k citations indexed

About

Robbert J. de Haas is a scholar working on Surgery, Hepatology and Oncology. According to data from OpenAlex, Robbert J. de Haas has authored 101 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Surgery, 52 papers in Hepatology and 41 papers in Oncology. Recurrent topics in Robbert J. de Haas's work include Hepatocellular Carcinoma Treatment and Prognosis (42 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (25 papers) and Colorectal Cancer Treatments and Studies (23 papers). Robbert J. de Haas is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (42 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (25 papers) and Colorectal Cancer Treatments and Studies (23 papers). Robbert J. de Haas collaborates with scholars based in Netherlands, France and Germany. Robbert J. de Haas's co-authors include Dennis A. Wicherts, Daniel Azoulay, Denis Castaing, René Adam, Henri Bismuth, Bernard Paule, Françis Lévi, Michel Ducreux, Thomas A. Aloia and Eduardo Flores‐Villalba and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Robbert J. de Haas

93 papers receiving 3.4k citations

Peers

Robbert J. de Haas
Leyo Ruo Canada
J. Peter A. Lodge United Kingdom
Timothy G. John United Kingdom
Ana Gleisner United States
Yoo‐Seok Yoon South Korea
Robbert J. de Haas
Citations per year, relative to Robbert J. de Haas Robbert J. de Haas (= 1×) peers Alessandro Ferrero

Countries citing papers authored by Robbert J. de Haas

Since Specialization
Citations

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

Fields of papers citing papers by Robbert J. de Haas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robbert J. de Haas. 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 Robbert J. de Haas. The network helps show where Robbert J. de Haas may publish in the future.

Co-authorship network of co-authors of Robbert J. de Haas

This figure shows the co-authorship network connecting the top 25 collaborators of Robbert J. de Haas. A scholar is included among the top collaborators of Robbert J. de Haas 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 Robbert J. de Haas. Robbert J. de Haas 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.
Dierckx, Rudi, et al.. (2025). Diagnosing portal vein stenosis after pediatric liver transplantation: A systematic review. Transplantation Reviews. 39(2). 100912–100912. 1 indexed citations
2.
Lascaris, Bianca, Silke B. Bodewes, Adam M. Thorne, et al.. (2024). Perfusion Pressures and Weight Loss During Normothermic Machine Perfusion of Human Donor Livers. Artificial Organs. 49(5). 820–830.
3.
Yakar, Derya, et al.. (2023). The Value of Deep Learning in Gallbladder Lesion Characterization. Diagnostics. 13(4). 704–704. 9 indexed citations
4.
Tinguely, Pascale, Simeon J. S. Ruiter, Jennie Engstrand, et al.. (2023). A prospective multicentre trial on survival after Microwave Ablation VErsus Resection for Resectable Colorectal liver metastases (MAVERRIC). European Journal of Cancer. 187. 65–76. 39 indexed citations
6.
Yakar, Derya, et al.. (2022). Combining Hepatic and Splenic CT Radiomic Features Improves Radiomic Analysis Performance for Liver Fibrosis Staging. Diagnostics. 12(2). 550–550. 16 indexed citations
7.
Haas, Robbert J. de, et al.. (2021). Revival of the Remnant Round Ligament of the Liver. Gastroenterology. 161(1). 40–41. 1 indexed citations
8.
Hoogwater, Frederik J.H., et al.. (2021). Diagnostic performance of preoperative CT in differentiating between benign and malignant origin of suspicious gallbladder lesions. European Journal of Radiology. 138. 109619–109619. 6 indexed citations
9.
Haas, Robbert J. de, Derya Yakar, Andor W.J.M. Glaudemans, et al.. (2021). Machine learning in the differentiation of follicular lymphoma from diffuse large B-cell lymphoma with radiomic [18F]FDG PET/CT features. European Journal of Nuclear Medicine and Molecular Imaging. 49(5). 1535–1543. 27 indexed citations
10.
Rijn, Rianne van, Ivo J. Schurink, Robbert J. de Haas, et al.. (2021). A Randomized Controlled Trial of Dual Hypothermic Oxygenated Machine Perfusion in Donation after Circulatory Death Liver Transplantation. HPB. 23. S673–S673. 1 indexed citations
11.
Hoogwater, Frederik J.H., et al.. (2020). Clinical value of diffusion-weighted MRI for differentiation between benign and malignant gallbladder disease: a systematic review and meta-analysis. Acta Radiologica. 62(8). 987–996. 5 indexed citations
12.
Wiersema, Renske, José Castela Forte, Thomas Kaufmann, et al.. (2019). Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies. Journal of Visualized Experiments. 5 indexed citations
13.
Kirkegård, Jakob, Eirik Kjus Aahlin, Svein Olav Bratlie, et al.. (2019). Multicentre study of multidisciplinary team assessment of pancreatic cancer resectability and treatment allocation. British journal of surgery. 106(6). 756–764. 45 indexed citations
14.
Wiersema, Renske, José Castela Forte, Thomas Kaufmann, et al.. (2019). Observational Study Protocol for Repeated Clinical Examination and Critical Care Ultrasonography Within the Simple Intensive Care Studies. Journal of Visualized Experiments. 12 indexed citations
15.
Pennings, Jan Pieter, et al.. (2018). FDG-avid presacral soft tissue mass in previously treated rectal cancer: Diagnostic outcome and additional value of MRI, including diffusion-weighted imaging. European Journal of Surgical Oncology. 45(4). 606–612. 8 indexed citations
16.
Schoenmaeckers, Ernst J. P., et al.. (2013). Laparoscopic repair of primary and incisional ventral hernias: the differences must be acknowledged. Surgical Endoscopy. 28(3). 891–895. 40 indexed citations
17.
Wicherts, Dennis A., Robbert J. de Haas, P. Andreani, et al.. (2011). Short- and long-term results of extended left hepatectomy for colorectal metastases. HPB. 13(8). 536–543. 14 indexed citations
18.
Wicherts, Dennis A., Robbert J. de Haas, Mylène Sebagh, et al.. (2010). Regenerative Nodular Hyperplasia of the Liver Related to Chemotherapy: Impact on Outcome of Liver Surgery for Colorectal Metastases. Annals of Surgical Oncology. 18(3). 659–669. 43 indexed citations
19.
Haas, Robbert J. de, Dennis A. Wicherts, C. Salloum, et al.. (2009). Long‐term outcomes after hepatic resection for colorectal metastases in young patients. Cancer. 116(3). 647–658. 40 indexed citations
20.
Haas, Robbert J. de, Dennis A. Wicherts, Monique G. G. Hobbelink, et al.. (2007). Sentinel Lymph Node Mapping in Colon Cancer: Current Status. Annals of Surgical Oncology. 14(3). 1070–1080. 25 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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