M.A.M. Overbeeke

2.6k total citations
54 papers, 1.5k citations indexed

About

M.A.M. Overbeeke is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, M.A.M. Overbeeke has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Hematology, 31 papers in Physiology and 14 papers in Genetics. Recurrent topics in M.A.M. Overbeeke's work include Blood groups and transfusion (50 papers), Erythrocyte Function and Pathophysiology (31 papers) and Blood disorders and treatments (11 papers). M.A.M. Overbeeke is often cited by papers focused on Blood groups and transfusion (50 papers), Erythrocyte Function and Pathophysiology (31 papers) and Blood disorders and treatments (11 papers). M.A.M. Overbeeke collaborates with scholars based in Netherlands, United Kingdom and United States. M.A.M. Overbeeke's co-authors include C. Ellen van der Schoot, B. H. W. Faas, A. E. G. Kr. von dem Borne, D.J. van Rhenen, Erik A.M. Beckers, C. P. Engelfriet, Peter C. Ligthart, Joyce Poole, Willem H. Ouwehand and Loek van Alphen and has published in prestigious journals such as The Lancet, American Journal of Obstetrics and Gynecology and British Journal of Haematology.

In The Last Decade

M.A.M. Overbeeke

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.A.M. Overbeeke Netherlands 23 1.3k 825 329 291 271 54 1.5k
F. Schunter Germany 12 799 0.6× 571 0.7× 326 1.0× 195 0.7× 98 0.4× 39 1.0k
Christine Lomas‐Francis United States 18 1.3k 1.0× 1.1k 1.3× 287 0.9× 531 1.8× 127 0.5× 98 1.6k
G.L. Daniels United Kingdom 17 644 0.5× 535 0.6× 229 0.7× 179 0.6× 67 0.2× 36 949
Andrew G. Hadley United Kingdom 20 573 0.4× 290 0.4× 215 0.7× 90 0.3× 130 0.5× 42 962
H.‐H. Sonneborn Germany 15 321 0.3× 298 0.4× 97 0.3× 73 0.3× 38 0.1× 43 786
Priscilla Yam United States 16 501 0.4× 58 0.1× 352 1.1× 138 0.5× 67 0.2× 26 1.3k
JL Abkowitz United States 14 340 0.3× 82 0.1× 243 0.7× 146 0.5× 18 0.1× 22 776
Fabien Touzot France 21 192 0.1× 230 0.3× 261 0.8× 102 0.4× 40 0.1× 45 1.2k
Boris Calmels France 20 718 0.6× 48 0.1× 402 1.2× 169 0.6× 48 0.2× 78 1.4k
Benoît Vingert France 17 224 0.2× 151 0.2× 60 0.2× 164 0.6× 18 0.1× 39 916

Countries citing papers authored by M.A.M. Overbeeke

Since Specialization
Citations

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

Fields of papers citing papers by M.A.M. Overbeeke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A.M. Overbeeke. 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 M.A.M. Overbeeke. The network helps show where M.A.M. Overbeeke may publish in the future.

Co-authorship network of co-authors of M.A.M. Overbeeke

This figure shows the co-authorship network connecting the top 25 collaborators of M.A.M. Overbeeke. A scholar is included among the top collaborators of M.A.M. Overbeeke 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 M.A.M. Overbeeke. M.A.M. Overbeeke 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.
Dijk, Boukje A. C. van, R.A. Hirasing, & M.A.M. Overbeeke. (1999). [Hemolytic disease of the newborn and irregular blood group antibodies in the Netherlands: prevalence and morbidity].. PubMed. 143(28). 1465–9. 7 indexed citations
2.
Case, John, Amy W. Chung, Toshio Mazda, et al.. (1999). International Reference Reagents: Antihuman Globulin. Vox Sanguinis. 77(2). 121–127. 1 indexed citations
3.
Wijk, Petra A. Maaskant‐van, B. H. W. Faas, M.A.M. Overbeeke, et al.. (1998). Genotyping of RHD by multiplex polymerase chain reaction analysis of six RHD‐specific exons. Transfusion. 38(11-12). 1015–1021. 103 indexed citations
4.
Faas, B. H. W., Erik A.M. Beckers, Peter C. Ligthart, et al.. (1997). Molecular background of VS and weak C expression in blacks. Transfusion. 37(1). 38–44. 141 indexed citations
5.
Faas, B. H. W., et al.. (1997). Involvement of Gly96 in the formation of the Rh26 epitope. Transfusion. 37(11-12). 1123–1130. 22 indexed citations
6.
Beckers, Erik A.M., et al.. (1996). The R0Har Rh:33 phenotype results from substitution of exon 5 of the RHCE gene by the corresponding exon of the RHD gene. British Journal of Haematology. 92(3). 751–757. 51 indexed citations
7.
Beckers, Erik A.M., B. H. W. Faas, Suat Şimşek, et al.. (1996). The genetic basis of a new partial D antigen: DDBT. British Journal of Haematology. 93(3). 720–727. 47 indexed citations
8.
Wijk, Petra A. Maaskant‐van, B. H. W. Faas, Peter C. Ligthart, et al.. (1996). Rh DNA analysis. Transfusion Clinique et Biologique. 3(6). 507–510. 4 indexed citations
9.
Beckers, Erik A.M., B. H. W. Faas, Peter C. Ligthart, et al.. (1996). Characterization of the hybrid RHD gene leading to the partial D category IIIc phenotype. Transfusion. 36(6). 567–574. 34 indexed citations
10.
Daniels, Geoff, et al.. (1996). A New Low‐Incidence Antigen in the Kell Blood Group System: VLAN (KEL25). Vox Sanguinis. 71(1). 43–47. 4 indexed citations
11.
Dijk, Boukje A. C. van, et al.. (1995). Red cell antibodies in pregnancy: there is no ‘critical titre’. Transfusion Medicine. 5(3). 199–202. 33 indexed citations
12.
Şimşek, Serkan, et al.. (1994). Sequence Analysis of cDNA Derived from Reticulocyte mRNAs Coding for Rh Polypeptides and Demonstration of E/e and C/c Polymorphisms. Vox Sanguinis. 67(2). 203–209. 62 indexed citations
13.
Rhenen, D.J. van, et al.. (1994). Serological Characteristics of Partial D Antigen Category VI in 8 Unrelated Blood Donors. Vox Sanguinis. 66(2). 133–136. 10 indexed citations
14.
Overbeeke, M.A.M., et al.. (1994). Autoimmune haemolytic anaemia during pregnancy. European Journal of Obstetrics & Gynecology and Reproductive Biology. 55(3). 209–211. 13 indexed citations
16.
Hoffmann, Johannes J.M.L., et al.. (1990). A New, Low‐Incidence Red Cell Antigen (HOFM), Associated with Depressed C Antigen. Vox Sanguinis. 59(4). 240–243. 2 indexed citations
17.
Rhenen, D.J. van, et al.. (1989). Testing Efficacy of Anti‐D Sera by a Panel of Donor Red Cells with Weak Reacting D Antigen and with Partial D Antigens. Vox Sanguinis. 56(4). 274–277. 9 indexed citations
18.
Redman, Colvin M., et al.. (1988). Biochemical studies on McLeod phenotype red cells and isolation of Kx antigen. British Journal of Haematology. 68(1). 131–136. 45 indexed citations
19.
Brouwers, H. A. A., et al.. (1988). Complement is not activated in ABO‐haemolytic disease of the newborn. British Journal of Haematology. 68(3). 363–366. 15 indexed citations
20.
Brouwers, H. A. A., M.A.M. Overbeeke, Willem H. Ouwehand, et al.. (1988). Maternal antibodies against fetal blood group antigens A or B: lytic activity of IgG subclasses in monocyte‐driven cytotoxicity and correlation with ABO haemolytic disease of the newborn. British Journal of Haematology. 70(4). 465–469. 22 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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