Henk Garritsen

2.7k total citations
69 papers, 2.1k citations indexed

About

Henk Garritsen is a scholar working on Hematology, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Henk Garritsen has authored 69 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Hematology, 13 papers in Molecular Biology and 13 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Henk Garritsen's work include Hematopoietic Stem Cell Transplantation (12 papers), Prenatal Screening and Diagnostics (9 papers) and Blood groups and transfusion (9 papers). Henk Garritsen is often cited by papers focused on Hematopoietic Stem Cell Transplantation (12 papers), Prenatal Screening and Diagnostics (9 papers) and Blood groups and transfusion (9 papers). Henk Garritsen collaborates with scholars based in Germany, United States and Netherlands. Henk Garritsen's co-authors include Wolfgang Holzgreve, Jan Greve, Dorothee Gänshirt-Ahlert, G.J. Puppels, Gezina M.J. Segers-Nolten, Peter Miny, Jürgen Deckert, Petra Franke, Thomas Brune and J. Alain Kummer and has published in prestigious journals such as PLoS ONE, Biophysical Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Henk Garritsen

67 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Henk Garritsen Germany 25 562 512 401 303 243 69 2.1k
Axel Pagenstecher Germany 38 166 0.3× 1.3k 2.6× 185 0.5× 776 2.6× 341 1.4× 105 4.2k
Jaan Toelen Belgium 30 346 0.6× 961 1.9× 124 0.3× 221 0.7× 367 1.5× 148 2.9k
Kazuhito Yamaguchi Japan 24 105 0.2× 531 1.0× 180 0.4× 445 1.5× 135 0.6× 56 1.8k
Amy P. Wong Canada 25 88 0.2× 897 1.8× 108 0.3× 199 0.7× 141 0.6× 49 3.2k
Peter E. Daddona United States 35 102 0.2× 1.8k 3.6× 229 0.6× 1.1k 3.5× 587 2.4× 99 4.6k
Edward H. Cho United States 31 55 0.1× 2.0k 3.9× 95 0.2× 571 1.9× 196 0.8× 69 4.3k
David P. Richman United States 34 238 0.4× 817 1.6× 40 0.1× 481 1.6× 142 0.6× 107 4.7k
K A Brown United Kingdom 24 48 0.1× 543 1.1× 200 0.5× 521 1.7× 77 0.3× 69 2.6k
Mauro Ceroni Italy 33 118 0.2× 1.1k 2.2× 46 0.1× 442 1.5× 54 0.2× 156 3.6k
Konstantinos Vougas Greece 28 71 0.1× 757 1.5× 52 0.1× 128 0.4× 106 0.4× 59 1.7k

Countries citing papers authored by Henk Garritsen

Since Specialization
Citations

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

Fields of papers citing papers by Henk Garritsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henk Garritsen

This figure shows the co-authorship network connecting the top 25 collaborators of Henk Garritsen. A scholar is included among the top collaborators of Henk Garritsen 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 Henk Garritsen. Henk Garritsen 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.
Fontaine, Magali J., David Stroncek, David H. McKenna, et al.. (2020). Variations in novel cellular therapy products manufacturing. Cytotherapy. 22(6). 337–342. 5 indexed citations
2.
Chatterjea, Anindita, Huipin Yuan, Supriyo Chatterjea, et al.. (2012). Engineering New Bone via a Minimally Invasive Route Using Human Bone Marrow-Derived Stromal Cell Aggregates, Microceramic Particles, and Human Platelet-Rich Plasma Gel. Tissue Engineering Part A. 19(3-4). 340–349. 12 indexed citations
3.
Hoerning, André, Halime Kalkavan, Julia Menke, et al.. (2011). Quantitative real‐time ARMS‐qPCR for mitochondrial DNA enables accurate detection of microchimerism in renal transplant recipients. Pediatric Transplantation. 15(8). 809–818. 4 indexed citations
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Fan, Alex Xiu‐Cheng, Henk Garritsen, Shereen El Tarhouny, et al.. (2008). A rapid and accurate approach to identify single nucleotide polymorphisms of mitochondrial DNA using MALDI-TOF mass spectrometry. Clinical Chemistry and Laboratory Medicine (CCLM). 46(3). 299–305. 22 indexed citations
8.
Brune, Thomas & Henk Garritsen. (2007). Potential of Directed Cord Blood Donations for the Treatment of Patients with Hematologic Disorders. Transfusion Medicine and Hemotherapy. 34(2). 100–103. 2 indexed citations
9.
Warner, Jessica B., et al.. (2006). Use of sequence variation in three highly variable regions of the mitochondrial DNA for the discrimination of allogeneic platelets. Transfusion. 46(4). 554–561. 6 indexed citations
10.
Moharregh-Khiabani, Darius, Robert Geffers, Viktoria Janke, et al.. (2006). UBD, a downstream element of FOXP3, allows the identification of LGALS3, a new marker of human regulatory T cells. Laboratory Investigation. 86(7). 724–737. 46 indexed citations
11.
Hohoff, Christa, Katharina Domschke, Philipp Sand, et al.. (2004). Norepinephrine transporter (NET) promoter and 5′-UTR polymorphisms: association analysis in panic disorder. Neuroscience Letters. 377(1). 40–43. 32 indexed citations
12.
Domschke, Katharina, Christine M. Freitag, Gregor Kuhlenbäumer, et al.. (2004). Association of the functional V158M catechol-O-methyl-transferase polymorphism with panic disorder in women. The International Journal of Neuropsychopharmacology. 7(2). 183–188. 127 indexed citations
13.
Brune, Thomas, et al.. (2002). Differentiation of single populations in a bidirectional mixed lymphocyte culture using X and Y chromosome-specific FiSH markers. Journal of Immunological Methods. 266(1-2). 105–110. 4 indexed citations
14.
Surbek, Daniel, Wolfgang Holzgreve, Wendy Jansen, et al.. (1998). Quantitative immunophenotypic characterization, cryopreservation, and enrichment of second- and third-trimester human fetal cord blood hematopoietic stem cells (progenitor cells). American Journal of Obstetrics and Gynecology. 179(5). 1228–1233. 27 indexed citations
15.
Cassens, U., Henk Garritsen, Reinhard Kelsch, et al.. (1997). Efficacy and kinetics of bone marrow processing and enrichment of haematopoietic progenitor cells (HPC) by a large-volume apheresis procedure. Bone Marrow Transplantation. 19(8). 835–840. 12 indexed citations
16.
Puppels, G.J., Henk Garritsen, J. Alain Kummer, & Jan Greve. (1993). Carotenoids located in human lymphocyte subpopulations and natural killer cells by Raman microspectroscopy. Cytometry. 14(3). 251–256. 80 indexed citations
17.
Gänshirt-Ahlert, Dorothee, Henk Garritsen, Peter Miny, et al.. (1993). Detection of Fetal Trisomies 21 and 18 From Maternal Blood Using Triple Gradient and Magnetic Cell Sorting. American Journal of Reproductive Immunology. 30(2-3). 194–201. 169 indexed citations
18.
Puppels, G.J., et al.. (1991). Raman microspectroscopic approach to the study of human granulocytes. Biophysical Journal. 60(5). 1046–1056. 154 indexed citations
19.
Garritsen, Henk, et al.. (1990). Annual congress of the german and the Austrian society of hematology and oncology. Annals of Hematology. 61(2-3). 69–196. 1 indexed citations
20.
Radošević, Katarina, et al.. (1990). A simple and sensitive flow cytometric assay for the determination of the cytotoxic activity of human natural killer cells. Journal of Immunological Methods. 135(1-2). 81–89. 56 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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