S. J. Urbaniak

2.4k total citations
86 papers, 1.8k citations indexed

About

S. J. Urbaniak is a scholar working on Hematology, Immunology and Physiology. According to data from OpenAlex, S. J. Urbaniak has authored 86 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Hematology, 34 papers in Immunology and 18 papers in Physiology. Recurrent topics in S. J. Urbaniak's work include Blood groups and transfusion (46 papers), Erythrocyte Function and Pathophysiology (17 papers) and Platelet Disorders and Treatments (13 papers). S. J. Urbaniak is often cited by papers focused on Blood groups and transfusion (46 papers), Erythrocyte Function and Pathophysiology (17 papers) and Platelet Disorders and Treatments (13 papers). S. J. Urbaniak collaborates with scholars based in United Kingdom, United States and Netherlands. S. J. Urbaniak's co-authors include W J Irvine, Robert N. Barker, W.J. Penhale, M. Ayoub Greiss, A.E. Robertson, A C MacCuish, Andrew M. Hall, Mark A. Vickers, Colin J. Campbell and L. J. P. Duncan and has published in prestigious journals such as The Lancet, Blood and Gastroenterology.

In The Last Decade

S. J. Urbaniak

84 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
S. J. Urbaniak United Kingdom 25 949 459 437 403 191 86 1.8k
B. Kubanek Germany 25 1.2k 1.2× 396 0.9× 298 0.7× 303 0.8× 66 0.3× 138 2.1k
Jörg Fehr Switzerland 20 1.0k 1.1× 910 2.0× 181 0.4× 260 0.6× 436 2.3× 45 2.6k
D. Voak United Kingdom 25 1.0k 1.1× 249 0.5× 267 0.6× 579 1.4× 102 0.5× 101 1.8k
Bernard Pirofsky United States 22 684 0.7× 956 2.1× 319 0.7× 290 0.7× 180 0.9× 90 2.2k
L. Salvaneschi Italy 24 609 0.6× 401 0.9× 130 0.3× 149 0.4× 106 0.6× 90 2.0k
Emin Kansu Türkiye 27 580 0.6× 390 0.8× 88 0.2× 168 0.4× 183 1.0× 118 2.1k
Richard K. Shadduck United States 33 1.5k 1.5× 1.1k 2.3× 256 0.6× 281 0.7× 169 0.9× 117 3.8k
Jacob Nusbacher United States 22 483 0.5× 276 0.6× 145 0.3× 129 0.3× 288 1.5× 48 1.2k
V. D’Apuzzo Switzerland 8 742 0.8× 487 1.1× 173 0.4× 68 0.2× 192 1.0× 16 1.5k
J R Hobbs United Kingdom 23 347 0.4× 359 0.8× 187 0.4× 248 0.6× 108 0.6× 80 1.6k

Countries citing papers authored by S. J. Urbaniak

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Urbaniak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. J. Urbaniak. 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 S. J. Urbaniak. The network helps show where S. J. Urbaniak may publish in the future.

Co-authorship network of co-authors of S. J. Urbaniak

This figure shows the co-authorship network connecting the top 25 collaborators of S. J. Urbaniak. A scholar is included among the top collaborators of S. J. Urbaniak 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 S. J. Urbaniak. S. J. Urbaniak 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.
Turner, Rebecca, M Lloyd-Jones, Dilly Anumba, et al.. (2012). Routine Antenatal Anti-D Prophylaxis in Women Who Are Rh(D) Negative: Meta-Analyses Adjusted for Differences in Study Design and Quality. PLoS ONE. 7(2). e30711–e30711. 47 indexed citations
2.
Bessos, Hagop, Mette Kjær Killie, Jerard Seghatchian, Bjøŕn Skogen, & S. J. Urbaniak. (2009). The relationship of anti-HPA-1a amount to severity of neonatal alloimmune thrombocytopenia – Where does it stand?. Transfusion and Apheresis Science. 40(2). 75–78. 13 indexed citations
3.
Hall, Andrew M., Frank J. Ward, Chia‐Rui Shen, et al.. (2007). Deletion of the dominant autoantigen in NZB mice with autoimmune hemolytic anemia: effects on autoantibody and T-helper responses. Blood. 110(13). 4511–4517. 22 indexed citations
4.
Watson, Henry G., et al.. (2007). Mapping helper T-cell epitopes on platelet membrane glycoprotein IIIa in chronic autoimmune thrombocytopenic purpura. Blood. 109(10). 4528–4538. 36 indexed citations
5.
Allen, David L., Peter Rigsby, Hagop Bessos, et al.. (2005). Collaborative study to establish the first international standard for quantitation of anti‐HPA‐1a. Vox Sanguinis. 89(2). 100–104. 22 indexed citations
6.
Hall, Andrew M., et al.. (2004). Immune responses and tolerance to the RhD blood group protein in HLA-transgenic mice. Blood. 105(5). 2175–2179. 45 indexed citations
7.
Williamson, Lauren E., Kathryn L. Armour, Michael Clark, et al.. (2004). In vitro materno-fetal transfer of native and Fc-mutated recombinant RhD antibodies. Vox Sanguinis. 87(3). 2 indexed citations
8.
Wardlaw, Douglas, et al.. (2002). Allograft Versus Autograft in Instrumented Posterolateral Lumbar Spinal Fusion. Spine. 27(15). 1599–1603. 93 indexed citations
9.
Moss, M., et al.. (2000). V(D)J germline gene repertoire analysis of monoclonal D antibodies and the implications for D epitope specificity. Transfusion. 40(7). 846–855. 9 indexed citations
10.
Moss, M., et al.. (2000). Comparison between Hybridoma and Fab/phage Anti‐RhD: Their V Gene Usage and Pairings. Disease Markers. 16(1-2). 15–19. 11 indexed citations
11.
Armstrong‐Fisher, Sylvia, et al.. (1995). Functional assessment of therapeutic anti‐D immunoglobulin using Fc‐mediated assays. Transfusion Medicine. 5(1). 21–29. 10 indexed citations
12.
Yeaman, Grant R., Karin S. Froebel, George Galea, Anthony D. Ormerod, & S. J. Urbaniak. (1990). An unusual variant of chronic granulomatous disease. FEMS Microbiology Letters. 64(1). 18–18. 1 indexed citations
13.
MacLeod, Alison M., Robert J. Mason, David A. Power, et al.. (1987). Noncytotoxic Autoantibodies and Alloantibodies in Renal-Transplantation. Transplantation Proceedings. 17(2). 1771–1771. 1 indexed citations
14.
MacLeod, Alison M., Amanda Mather, J Engeset, et al.. (1984). SELECTION OF RENAL-TRANSPLANT RECIPIENTS USING THE EA INHIBITION ASSAY - A FURTHER EVALUATION. Kidney International. 26(4). 644–644. 1 indexed citations
15.
Irvine, W J, et al.. (1977). Peripheral blood leucocytes in thyrotoxicosis (Graves' disease) as studied by conventional light microscopy.. PubMed. 27(2). 216–21. 24 indexed citations
16.
Urbaniak, S. J.. (1976). Lymphoid Cell Dependent (K‐Cell) Lysis of Human Erythrocytes Sensitized with Rhesus Alloantibodies. British Journal of Haematology. 33(3). 409–413. 49 indexed citations
17.
Calder, Elizabeth A., et al.. (1975). The effect of anti-alpha2-macroglobulin on K-cell cytolysis and T- and B-cell rosette formation.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 22(1). 112–20. 6 indexed citations
18.
Goldstone, A. H., S. J. Urbaniak, & W J Irvine. (1974). Electrophoresis of lymphocytes from normal human subjects and patients with chronic lymphocytic leukaemia.. PubMed. 17(1). 113–20. 10 indexed citations
19.
MacCuish, A C, S. J. Urbaniak, Colin J. Campbell, L. J. P. Duncan, & W J Irvine. (1974). Phytohemagglutinin Transformation and Circulating Lymphocyte Subpopulations in Insulin-dependent Diabetic Patients. Diabetes. 23(8). 708–712. 126 indexed citations
20.
Urbaniak, S. J., W.J. Penhale, & W J Irvine. (1973). Circulating lymphocyte subpopulations in Hashimoto thyroiditis.. PubMed. 15(3). 345–54. 41 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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