Stephen Henry

2.5k total citations
97 papers, 1.6k citations indexed

About

Stephen Henry is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Stephen Henry has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 35 papers in Hematology and 29 papers in Physiology. Recurrent topics in Stephen Henry's work include Blood groups and transfusion (34 papers), Glycosylation and Glycoproteins Research (33 papers) and Erythrocyte Function and Pathophysiology (27 papers). Stephen Henry is often cited by papers focused on Blood groups and transfusion (34 papers), Glycosylation and Glycoproteins Research (33 papers) and Erythrocyte Function and Pathophysiology (27 papers). Stephen Henry collaborates with scholars based in New Zealand, Russia and Sweden. Stephen Henry's co-authors include Bo E. Samuelsson, Rafaël Oriol, Nicolai V. Bovin, Elena Korchagina, Martin L. Olsson, Rosella Mollicone, Deborah Blake, Lola Svensson, Göran Larson and Nidal M. Irshaid and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Stephen Henry

92 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Henry New Zealand 24 757 611 484 259 231 97 1.6k
Bärbel S. Blaum Germany 22 563 0.7× 390 0.6× 170 0.4× 172 0.7× 927 4.0× 36 1.9k
J. J. Moulds United States 19 354 0.5× 638 1.0× 506 1.0× 230 0.9× 312 1.4× 46 1.4k
Christopher W. Marlor United States 15 684 0.9× 89 0.1× 228 0.5× 259 1.0× 452 2.0× 24 1.9k
E J Brown United States 24 424 0.6× 259 0.4× 165 0.3× 160 0.6× 974 4.2× 37 1.9k
F. M. Kourilsky France 30 866 1.1× 228 0.4× 176 0.4× 167 0.6× 1.4k 5.9× 59 2.7k
RI Lehrer United States 16 840 1.1× 58 0.1× 227 0.5× 104 0.4× 970 4.2× 22 2.1k
Joëlle E. Gabay United States 25 1.0k 1.4× 80 0.1× 164 0.3× 348 1.3× 706 3.1× 29 2.2k
Thomas Brodin Sweden 22 645 0.9× 206 0.3× 53 0.1× 90 0.3× 542 2.3× 54 1.9k
Michael D.P. Boyle United States 28 699 0.9× 223 0.4× 200 0.4× 163 0.6× 567 2.5× 103 2.4k
Yongshui Fu China 23 334 0.4× 227 0.4× 79 0.2× 142 0.5× 331 1.4× 120 1.8k

Countries citing papers authored by Stephen Henry

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Henry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Henry

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Henry. A scholar is included among the top collaborators of Stephen Henry 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 Stephen Henry. Stephen Henry 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.
Tuzikov, Alexander, Polina Obukhova, Inna E. Popova, et al.. (2024). Antigen Presentation in an Artificial and Cell Membrane: Blood Group A Glycan Recognition. ChemBioChem. 26(1). e202400843–e202400843.
2.
Shilova, Nadezhda, Ekaterina A. Obraztsova, С. В. Хайдуков, et al.. (2024). Surface Glycans of Microvesicles Derived from Endothelial Cells, as Probed Using Plant Lectins. International Journal of Molecular Sciences. 25(11). 5725–5725. 1 indexed citations
3.
Fenton, Joshua J., et al.. (2023). Association between Opioid Overdose and Health Plan Disenrollment with Mitigating Impact of Buprenorphine Initiation. PubMed. 21(Suppl 1). 4049–4049. 1 indexed citations
4.
Rapoport, E. M., Elena Korchagina, С. В. Хайдуков, et al.. (2023). Galectin-9 Modulates Adhesion of Lymphocytes to Endothelium Via Binding to Blood Group H Glycan. SSRN Electronic Journal. 1 indexed citations
5.
Holmberg, Jerry A., Stephen Henry, Thierry Burnouf, et al.. (2022). National Blood Foundation 2021 Research and Development summit: Discovery, innovation, and challenges in advancing blood and biotherapies. Transfusion. 62(11). 2391–2404.
6.
Henry, Stephen, Pavel E. Volynsky, Alexander Tuzikov, et al.. (2020). Structure of Supramers Formed by the Amphiphile Biotin‐CMG‐DOPE. ChemistryOpen. 9(6). 640–640. 1 indexed citations
7.
Henry, Stephen & Nicolai V. Bovin. (2018). Kode Technology – a universal cell surface glycan modification technology. Journal of the Royal Society of New Zealand. 49(2). 100–113. 4 indexed citations
8.
Tesfay, Mulu Z., Elizabeth M. Hadac, Guy E. Griesmann, et al.. (2013). PEGylation of Vesicular Stomatitis Virus Extends Virus Persistence in Blood Circulation of Passively Immunized Mice. Journal of Virology. 87(7). 3752–3759. 57 indexed citations
9.
Henry, Stephen. (2012). RDA and Music Reference Services: What to Expect and What to Do Next. 59(3). 257–269. 2 indexed citations
10.
11.
12.
Blake, Deborah, et al.. (2011). Fluorophore-kodecytes - fluorescent function-spacer-lipid (FSL) modified cells for in vitro and in vivo analyses. AUT Scholarly Commons. 3 indexed citations
13.
Diegel, Olaf, et al.. (2011). Function-Spacer-Lipid (FSL) constructs enable inkjet printing of blood group antigens. AUT Scholarly Commons. 3 indexed citations
14.
Blake, Deborah, et al.. (2011). Modeling transfusion reactions and predicting in vivo cell survival with kodecytes. Transfusion. 51(8). 1723–1730. 26 indexed citations
15.
Henry, Stephen, Per‐Åke Jovall, Anders Elmgren, et al.. (1997). Structural and immunochemical identification of Lea, Leb, H type 1, and related glycolipids in small intestinal mucosa of a group O Le(a-b-) nonsecretor. Glycoconjugate Journal. 14(2). 209–223. 19 indexed citations
16.
Henry, Stephen, Rosella Mollicone, John B. Lowe, Bo E. Samuelsson, & Göran Larson. (1996). A Second Nonsecretor Allele ofthe Blood Group a(1,2)FucosyltransferaseGene (FUT2). Vox Sanguinis. 70(1). 21–25. 1 indexed citations
17.
Henry, Stephen, Rosella Mollicone, Pilar Fernández‐Mateos, et al.. (1996). Homozygous Expression of a Missense Mutation at Nucleotide 385 in the FUT2 Gene Associates with the Le(a+b+) Partial-Secretor Phenotype in an Indonesian Family. Biochemical and Biophysical Research Communications. 219(3). 675–678. 33 indexed citations
18.
Henry, Stephen, et al.. (1995). Structural and immunochemical identification of Leb glycolipids in the plasma of a group O Le(a-b-) secretor. Glycoconjugate Journal. 12(3). 309–317. 8 indexed citations
19.
Henry, Stephen, Rafaël Oriol, & Bo E. Samuelsson. (1994). Expression of Lewis histo-blood group glycolipids in the plasma of individuals of Le(a+b+) and partial secretor phenotypes. Glycoconjugate Journal. 11(6). 593–599. 13 indexed citations
20.
Henry, Stephen, et al.. (1984). Cutaneous irritation and inhibition of galvanic skin response measured electrometrically in human forearm skin after topical applications of metal-salt antiperspirants. 35(8). 391–410. 1 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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