Jamal Dakour

903 total citations
27 papers, 750 citations indexed

About

Jamal Dakour is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology. According to data from OpenAlex, Jamal Dakour has authored 27 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Obstetrics and Gynecology. Recurrent topics in Jamal Dakour's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Pregnancy and preeclampsia studies (7 papers) and Glycosylation and Glycoproteins Research (7 papers). Jamal Dakour is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Pregnancy and preeclampsia studies (7 papers) and Glycosylation and Glycoproteins Research (7 papers). Jamal Dakour collaborates with scholars based in Canada, Sweden and United States. Jamal Dakour's co-authors include Donald W. Morrish, Hongshi Li, Arne Lundblad, Grzegorz Sawicki, L.J. Guilbert, David A. Zopf, Bonnie Winkler‐Lowen, Hua Chen, Robert C. Berdan and Jingjie Xiao and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Analytical Biochemistry and Hypertension.

In The Last Decade

Jamal Dakour

27 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamal Dakour Canada 15 341 289 209 163 89 27 750
Nandita S. Raikwar United States 17 333 1.0× 134 0.5× 93 0.4× 110 0.7× 41 0.5× 27 620
Szabolcs Bellyei Hungary 15 286 0.8× 95 0.3× 113 0.5× 68 0.4× 66 0.7× 44 638
Zhihong Niu China 16 267 0.8× 138 0.5× 186 0.9× 129 0.8× 45 0.5× 62 924
Zoltán Kukor Hungary 14 147 0.4× 124 0.4× 85 0.4× 102 0.6× 54 0.6× 35 792
Bélinda Duchêne France 14 321 0.9× 53 0.2× 112 0.5× 137 0.8× 30 0.3× 21 692
Andrea Tagliaferro Canada 12 995 2.9× 370 1.3× 120 0.6× 234 1.4× 226 2.5× 13 1.3k
J. Rivera United States 10 356 1.0× 74 0.3× 533 2.6× 73 0.4× 63 0.7× 11 910
Sabine Heublein Germany 22 543 1.6× 210 0.7× 304 1.5× 24 0.1× 103 1.2× 78 1.3k
Hong Jin China 16 336 1.0× 95 0.3× 83 0.4× 64 0.4× 31 0.3× 33 597
Soon-Cen Huang Taiwan 13 372 1.1× 104 0.4× 62 0.3× 22 0.1× 53 0.6× 19 730

Countries citing papers authored by Jamal Dakour

Since Specialization
Citations

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

Fields of papers citing papers by Jamal Dakour

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamal Dakour

This figure shows the co-authorship network connecting the top 25 collaborators of Jamal Dakour. A scholar is included among the top collaborators of Jamal Dakour 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 Jamal Dakour. Jamal Dakour 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.
Li, Hongshi, Jamal Dakour, Larry J. Guilbert, et al.. (2005). PL74, a Novel Member of the Transforming Growth Factor-β Superfamily, Is Overexpressed in Preeclampsia and Causes Apoptosis in Trophoblast Cells. The Journal of Clinical Endocrinology & Metabolism. 90(5). 3045–3053. 20 indexed citations
2.
Sawicki, Grzegorz, Jamal Dakour, & Donald W. Morrish. (2003). Functional proteomics of neurokinin B in the placenta indicates a novel role in regulating cytotrophoblast antioxidant defences. PROTEOMICS. 3(10). 2044–2051. 55 indexed citations
3.
Morrish, Donald W., et al.. (2001). Life and Death in the Placenta: New Peptides and Genes Regulating Human Syncytiotrophoblast and Extravillous Cytotrophoblast Lineage Formation and Renewal. Current Protein and Peptide Science. 2(3). 245–259. 43 indexed citations
4.
Dakour, Jamal, et al.. (1999). EGF Promotes Development of a Differentiated Trophoblast Phenotype Having c-myc and junB Proto-oncogene Activation. Placenta. 20(1). 119–126. 27 indexed citations
5.
Winkler‐Lowen, Bonnie, et al.. (1999). The Role of Bcl-2 Expression in EGF Inhibition of TNF-α/IFN-γ-induced Villous Trophoblast Apoptosis. Placenta. 20(5-6). 423–430. 39 indexed citations
6.
Morrish, Donald W., Jamal Dakour, & Hongshi Li. (1998). Functional regulation of human trophoblast differentiation. Journal of Reproductive Immunology. 39(1-2). 179–195. 142 indexed citations
7.
Dakour, Jamal, Hongshi Li, & Donald W. Morrish. (1997). PL48: a novel gene associated with cytotrophoblast and lineage-specific HL-60 cell differentiation. Gene. 185(2). 153–157. 21 indexed citations
8.
9.
Morrish, Donald W., Jamal Dakour, & Hongshi Li. (1996). Cloning of PL33: a novel probable serpentine membrane receptor associated with human cytotrophoblast and lineage-specific HL-60 cell differentiation. Molecular and Cellular Endocrinology. 120(2). 147–151. 6 indexed citations
10.
11.
Jimbow, Kowichi, Michael G. King, Hiroyuki Hara, et al.. (1993). Melanin Pigments and Melanosomal Proteins as Differentiation Markers Unique to Normal and Neoplastic Melanocytes.. Journal of Investigative Dermatology. 100(3). 259S–268S. 4 indexed citations
12.
Dakour, Jamal, et al.. (1993). Identification of a cDNA Coding for a Ca2+-Binding Phosphoprotein (p90), Calnexin, on Melanosomes in Normal and Malignant Human Melanocytes. Experimental Cell Research. 209(2). 288–300. 16 indexed citations
13.
14.
Dakour, Jamal, et al.. (1993). cDNA-based functional domains of a calnexin-like melanosomal protein, p90.. PubMed. 3(4). 263–9. 6 indexed citations
15.
Jimbow, Kowichi, Michael G. King, Hiroyuki Hara, et al.. (1993). Cytogenetics of Melanocytic Tumors.. Journal of Investigative Dermatology. 100(3). 254S–258S. 6 indexed citations
16.
Dakour, Jamal, David A. Zopf, & Arne Lundblad. (1992). Assay of α1,3 N-acetyl-d-galactosaminyl transferase by affinity chromatography. Analytical Biochemistry. 204(1). 210–214. 1 indexed citations
17.
Uppugunduri, Srinivas, et al.. (1991). Affinity purification of monoclonal antibodies, using a bifunctional oligosaccharide hapten. Glycoconjugate Journal. 8(2). 102–107. 2 indexed citations
18.
Zopf, David A., Sten Ohlson, Jamal Dakour, Wenjun Wang, & Arne Lundblad. (1989). [5] Analysis and purification of oligosaccharides by high-performance liquid affinity chromatography. Methods in enzymology on CD-ROM/Methods in enzymology. 179. 55–64. 9 indexed citations
19.
Sabharwal, Hemant, Bo Nilsson, Gunnar Grönberg, et al.. (1988). Oligosaccharides from feces of preterm infants fed on breast milk. Archives of Biochemistry and Biophysics. 265(2). 390–406. 37 indexed citations
20.
Dakour, Jamal, Arne Lundblad, & David A. Zopf. (1988). Detection and isolation of oligosaccharides with Lea and Leb blood group activities by affinity chromatography using monoclonal antibodies. Archives of Biochemistry and Biophysics. 264(1). 203–213. 7 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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