Cees Th. Smit Sibinga

1.1k total citations
72 papers, 752 citations indexed

About

Cees Th. Smit Sibinga is a scholar working on Management of Technology and Innovation, Biochemistry and Hematology. According to data from OpenAlex, Cees Th. Smit Sibinga has authored 72 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Management of Technology and Innovation, 24 papers in Biochemistry and 13 papers in Hematology. Recurrent topics in Cees Th. Smit Sibinga's work include Blood donation and transfusion practices (30 papers), Blood transfusion and management (23 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (8 papers). Cees Th. Smit Sibinga is often cited by papers focused on Blood donation and transfusion practices (30 papers), Blood transfusion and management (23 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (8 papers). Cees Th. Smit Sibinga collaborates with scholars based in Netherlands, United States and Uganda. Cees Th. Smit Sibinga's co-authors include Nico van Dijk, R. Haijema, Jan van der Wal, Jean‐Pierre Allain, Maarten J. Postma, Marinus van Hulst, Albert Teelken, Geert Sulter, Natasha M. Maurits and Joukje van der Naalt and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Production Economics and Anesthesia & Analgesia.

In The Last Decade

Cees Th. Smit Sibinga

64 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cees Th. Smit Sibinga Netherlands 14 333 145 116 109 98 72 752
Hans Erik Heier Norway 18 323 1.0× 167 1.2× 89 0.8× 61 0.6× 204 2.1× 70 981
Gilles Folléa France 19 230 0.7× 247 1.7× 119 1.0× 60 0.6× 445 4.5× 67 1.3k
Claire Rieux France 15 72 0.2× 164 1.1× 447 3.9× 87 0.8× 336 3.4× 33 1.2k
J. F. Chapman United Kingdom 15 166 0.5× 220 1.5× 36 0.3× 9 0.1× 297 3.0× 24 657
Rutger A. Middelburg Netherlands 22 312 0.9× 694 4.8× 105 0.9× 58 0.5× 592 6.0× 75 1.3k
Rainer Moog Germany 16 185 0.6× 184 1.3× 67 0.6× 96 0.9× 357 3.6× 68 789
Toral Patel United States 9 52 0.2× 34 0.2× 119 1.0× 13 0.1× 30 0.3× 17 364
Arianna Simonetti Italy 9 26 0.1× 16 0.1× 173 1.5× 165 1.5× 310 3.2× 16 1.1k
Stella Larsson Sweden 13 182 0.5× 315 2.2× 202 1.7× 79 0.7× 296 3.0× 33 1.4k
Barbara Young United Kingdom 10 39 0.1× 10 0.1× 116 1.0× 104 1.0× 23 0.2× 27 833

Countries citing papers authored by Cees Th. Smit Sibinga

Since Specialization
Citations

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

Fields of papers citing papers by Cees Th. Smit Sibinga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cees Th. Smit Sibinga. 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 Cees Th. Smit Sibinga. The network helps show where Cees Th. Smit Sibinga may publish in the future.

Co-authorship network of co-authors of Cees Th. Smit Sibinga

This figure shows the co-authorship network connecting the top 25 collaborators of Cees Th. Smit Sibinga. A scholar is included among the top collaborators of Cees Th. Smit Sibinga 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 Cees Th. Smit Sibinga. Cees Th. Smit Sibinga 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.
Sibinga, Cees Th. Smit, et al.. (2023). A Knowledge, Attitudes, and Practices Survey concerning Blood Donation among Libyans. SHILAP Revista de lepidopterología. 8(1). 17–22.
2.
Sibinga, Cees Th. Smit, et al.. (2022). Poor Economics – Knowledge Economy and The Existing Knowledge Gaps (Higher and Academic Education) In Healthcare; How To Overcome?. Electronic Journal of Knowledge Management. 20(1). pp17–26. 2 indexed citations
3.
Sibinga, Cees Th. Smit, Vernon Louw, Arwa Z. Al‐Riyami, et al.. (2021). Modeling global transfusion medicine education. Transfusion. 61(10). 3040–3049. 5 indexed citations
4.
Sibinga, Cees Th. Smit. (2020). Artificial intelligence in transfusion medicine and its impact on the quality concept. Transfusion and Apheresis Science. 59(6). 103021–103021. 2 indexed citations
6.
Eichbaum, Quentin, Michael Murphy, Yu Liu, et al.. (2016). Patient Blood Management. Anesthesia & Analgesia. 123(6). 1574–1581. 11 indexed citations
7.
Igissinov, Nurbek, et al.. (2014). Epidemiological Aspects of Hepatitis B and C Markers in Blood Donors in Kazakhstan; 2000-2011.. PubMed. 43(2). 156–61. 3 indexed citations
8.
Sibinga, Cees Th. Smit, et al.. (2010). The interface between blood preparation and use in Uganda. Vox Sanguinis. 98(3p1). e257–e262. 7 indexed citations
9.
Dijk, Nico van, R. Haijema, Jan van der Wal, & Cees Th. Smit Sibinga. (2009). Blood platelet production: a novel approach for practical optimization. Transfusion. 49(3). 411–420. 101 indexed citations
10.
Sibinga, Cees Th. Smit, et al.. (2002). In vitro megakaryocyte expansion in patients with delayed platelet engraftment after autologous stem cell transplantation. Annals of Hematology. 81(4). 192–197. 7 indexed citations
11.
Postma, Maarten J., et al.. (2001). Pharmaco-economics of transfusion safety. University of Groningen research database (University of Groningen / Centre for Information Technology). 45–51. 1 indexed citations
12.
Sibinga, Cees Th. Smit. (2001). Risk management: an important tool for improving quality. Transfusion Clinique et Biologique. 8(3). 214–217. 7 indexed citations
13.
Sibinga, Cees Th. Smit & J. D. Cash. (2001). Transfusion Medicine: Quo Vadis? What Has Been Achieved, What Is to Be Expected. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 2 indexed citations
14.
Sibinga, Cees Th. Smit. (2000). Book Reviews. British Journal of Haematology. 111(1). 382–382. 1 indexed citations
15.
Sibinga, Cees Th. Smit. (1999). Immune effects of blood transfusion. Current Opinion in Hematology. 6(6). 442–442. 18 indexed citations
16.
Poel, C.L. van der, et al.. (1998). Optimale versus maximale veiligheid van de bloedtransfusieketen in Nederland; resultaten van een conferentie. College voor de Bloedtransfusie van het Nederlandse Rode Kruis. Nederlandsch tijdschrift voor geneeskunde/Nederlands tijdschrift voor geneeskunde/NTvG-databank. 142(6). 285–288. 3 indexed citations
18.
Vries, H. G. de, et al.. (1996). Validation of the determination of ΔF508 mutations of the cystic fibrosis gene in over 11000 mouthwashes. Human Genetics. 97(3). 334–336. 37 indexed citations
19.
Doormaal, Jasper J. van, et al.. (1990). Alpha‐ and gamma‐tocopherol in Plasma, red blood cells, and platelets during plasma exchange. Journal of Clinical Apheresis. 5(4). 179–182. 2 indexed citations
20.
Mulder, Paula O.M., Pax H.B. Willemse, Jan G. Aalders, et al.. (1989). High-dose chemotherapy with autologous bone marrow transplantation in patients with refractory ovarian cancer. European Journal of Cancer and Clinical Oncology. 25(4). 645–649. 43 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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