Freek Daams

7.1k total citations · 1 hit paper
143 papers, 2.2k citations indexed

About

Freek Daams is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Freek Daams has authored 143 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Surgery, 68 papers in Oncology and 55 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Freek Daams's work include Pancreatic and Hepatic Oncology Research (40 papers), Cardiac, Anesthesia and Surgical Outcomes (30 papers) and Colorectal Cancer Surgical Treatments (28 papers). Freek Daams is often cited by papers focused on Pancreatic and Hepatic Oncology Research (40 papers), Cardiac, Anesthesia and Surgical Outcomes (30 papers) and Colorectal Cancer Surgical Treatments (28 papers). Freek Daams collaborates with scholars based in Netherlands, Italy and United States. Freek Daams's co-authors include Donald L. van der Peet, Johan F. Lange, Miguel A. Cuesta, Suzanne S. Gisbertz, Jennifer Straatman, Mark I. van Berge Henegouwen, Nicole van der Wielen, Johannes Jeekel, Camiel Rosman and Josep Roig García and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Freek Daams

123 papers receiving 2.1k citations

Hit Papers

Minimally Invasive Versus Open Esophageal Resection 2017 2026 2020 2023 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Freek Daams Netherlands 22 1.6k 975 935 345 151 143 2.2k
Min P. Kim United States 25 1.0k 0.6× 545 0.6× 762 0.8× 265 0.8× 165 1.1× 106 1.9k
Toyooki Sonoda United States 28 1.5k 1.0× 1.2k 1.2× 493 0.5× 279 0.8× 60 0.4× 60 2.2k
Eduardo García‐Granero Spain 28 2.2k 1.4× 1.8k 1.9× 539 0.6× 484 1.4× 91 0.6× 143 2.9k
Masaaki Motoori Japan 31 1.9k 1.2× 778 0.8× 1.5k 1.6× 75 0.2× 110 0.7× 173 2.7k
P. Kienle Germany 21 845 0.5× 1.0k 1.1× 359 0.4× 174 0.5× 51 0.3× 73 1.7k
N. J. Mortensen United Kingdom 29 1.7k 1.0× 1.4k 1.5× 323 0.3× 211 0.6× 81 0.5× 64 2.4k
Sergio Alfieri Italy 28 1.5k 0.9× 1.1k 1.2× 871 0.9× 105 0.3× 108 0.7× 189 2.6k
Shingo Kanaji Japan 25 1.5k 0.9× 739 0.8× 1.2k 1.3× 91 0.3× 128 0.8× 184 2.1k
Roel Hompes Netherlands 35 3.5k 2.2× 3.4k 3.4× 749 0.8× 295 0.9× 184 1.2× 218 4.3k
Keith W. Millikan United States 23 2.0k 1.3× 816 0.8× 1.4k 1.5× 74 0.2× 76 0.5× 63 2.7k

Countries citing papers authored by Freek Daams

Since Specialization
Citations

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

Fields of papers citing papers by Freek Daams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Freek Daams

This figure shows the co-authorship network connecting the top 25 collaborators of Freek Daams. A scholar is included among the top collaborators of Freek Daams 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 Freek Daams. Freek Daams 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.
Stommel, Martijn W.J., Freek Daams, Olivier R. Busch, et al.. (2025). Preventing and Treating Delayed Gastric Emptying After Pancreatic Surgery. Annals of Surgery. 282(6). 954–962.
2.
Daams, Freek, et al.. (2025). Ethical Pitfalls in AI‐Based Predictive Models in Surgery. World Journal of Surgery. 49(10). 2837–2845.
3.
Haitjema, Saskia, et al.. (2025). Patient perspectives on AI-based decision support in surgery. PubMed. 7(1). e000365–e000365. 1 indexed citations
4.
Graaf, Nine de, Alessandro Bonomi, David H. Balaban, et al.. (2025). Cost-analysis of Implementing robot-assisted Versus Open Pancreatoduodenectomy. Annals of Surgery.
5.
Boermeester, Marja A., Olivier R. Busch, Freek Daams, et al.. (2024). Minimally invasive versus open lateral pancreaticojejunostomy in patients with painful chronic pancreatitis: systematic review. BJS Open. 9(1).
6.
Burchell, George L., et al.. (2024). Artificial intelligence-aided ultrasound imaging in hepatopancreatobiliary surgery: where are we now?. Surgical Endoscopy. 38(9). 4869–4879. 1 indexed citations
7.
Besselink, Marc G., Alessandro Bonomi, Olivier R. Busch, et al.. (2024). Recurrent cholangitis in patients with a non-stenotic hepaticojejunostomy: incidence and risk factors. HPB. 26(4). 558–564. 4 indexed citations
8.
Stoop, Thomas F., Joris I. Erdmann, Freek Daams, et al.. (2024). Surgery for Locally Advanced Pancreatic Cancer Following Induction Chemotherapy: A Single-Center Experience. Annals of Surgical Oncology. 31(9). 6180–6192. 1 indexed citations
10.
11.
Wielen, Nicole van der, Hylke J.F. Brenkman, Maarten F. J. Seesing, et al.. (2024). Minimally invasive versus open gastrectomy for gastric cancer. A pooled analysis of two European randomized controlled trials. Journal of Surgical Oncology. 129(5). 911–921. 2 indexed citations
12.
13.
Kazemier, Geert, et al.. (2023). Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery. Surgery Today. 53(10). 1209–1215. 6 indexed citations
14.
Görgeç, Burak, M. Zwart, Freek Daams, et al.. (2022). Impact of shifting from laparoscopic to robotic surgery during 600 minimally invasive pancreatic and liver resections. Surgical Endoscopy. 37(4). 2659–2672. 18 indexed citations
15.
Bedrikovetski, Sergei, Nagendra N. Dudi‐Venkata, Gerrit D. Slooter, et al.. (2022). Risk Nomogram Does Not Predict Anastomotic Leakage After Colon Surgery Accurately: Results of the Multi-center LekCheck Study. Journal of Gastrointestinal Surgery. 26(4). 900–910. 3 indexed citations
16.
Sparreboom, Cloë L., Niels Komen, Dimitris Rizopoulos, et al.. (2019). Transanal total mesorectal excision: how are we doing so far?. Colorectal Disease. 21(7). 767–774. 13 indexed citations
17.
Sparreboom, Cloë L., Niels Komen, Dimitris Rizopoulos, et al.. (2019). A multicentre cohort study of serum and peritoneal biomarkers to predict anastomotic leakage after rectal cancer resection. Colorectal Disease. 22(1). 36–45. 29 indexed citations
18.
Rooijen, Stefanus J. van, et al.. (2016). Intraoperative modifiable risk factors of colorectal anastomotic leakage: Why surgeons and anesthesiologists should act together. International Journal of Surgery. 36(Pt A). 183–200. 78 indexed citations
19.
Wu, Zhouqiao, Freek Daams, Geesien S.A. Boersema, et al.. (2014). Colorectal Anastomotic Leakage Caused by Insufficient Suturing after Partial Colectomy: A New Experimental Model. Surgical Infections. 15(6). 733–738. 11 indexed citations
20.
Slieker, Juliette, et al.. (2011). Bowel Preparation Prior to Laparoscopic Colorectal Resection: What Is the Current Practice?. Journal of Laparoendoscopic & Advanced Surgical Techniques. 21(10). 899–903. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026