Georg Wick

17.0k total citations · 1 hit paper
357 papers, 13.5k citations indexed

About

Georg Wick is a scholar working on Immunology, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Georg Wick has authored 357 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 133 papers in Immunology, 86 papers in Molecular Biology and 68 papers in Animal Science and Zoology. Recurrent topics in Georg Wick's work include Monoclonal and Polyclonal Antibodies Research (53 papers), T-cell and B-cell Immunology (49 papers) and Animal Nutrition and Physiology (39 papers). Georg Wick is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (53 papers), T-cell and B-cell Immunology (49 papers) and Animal Nutrition and Physiology (39 papers). Georg Wick collaborates with scholars based in Austria, United States and Germany. Georg Wick's co-authors include Rupert Timpl, Qingbo Xu, Roswitha Sgonc, Boris Albini, Johann Willeit, Georg Schett, Hermann Dietrich, David Bernhard, Konrad Schauenstein and Matthias S. Gruschwitz and has published in prestigious journals such as Nature, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Georg Wick

353 papers receiving 12.7k citations

Hit Papers

Distribution of basement membrane proteins in normal and ... 1980 2026 1995 2010 1980 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Wick Austria 60 4.3k 3.9k 1.5k 1.5k 1.4k 357 13.5k
Jean‐Michel Dayer Switzerland 74 7.2k 1.7× 4.9k 1.2× 1.8k 1.2× 1.1k 0.7× 2.7k 1.8× 223 20.4k
Robert M. Senior United States 76 3.4k 0.8× 5.3k 1.3× 2.5k 1.6× 1.8k 1.3× 1.0k 0.7× 192 21.0k
Michael A. Palladino United States 63 7.8k 1.8× 7.4k 1.9× 1.2k 0.8× 1.1k 0.8× 1.6k 1.1× 218 18.4k
Ramzi S. Cotran United States 60 6.3k 1.5× 6.0k 1.5× 4.0k 2.7× 1.1k 0.7× 2.0k 1.4× 116 20.3k
Sem H. Phan United States 76 3.5k 0.8× 5.6k 1.4× 1.2k 0.8× 864 0.6× 1.4k 1.0× 208 20.0k
P Vassalli Switzerland 76 10.2k 2.4× 6.1k 1.6× 1.3k 0.9× 1.7k 1.1× 2.5k 1.8× 209 22.4k
Sirpa Jalkanen Finland 76 5.4k 1.3× 7.7k 2.0× 2.1k 1.4× 1.5k 1.0× 1.5k 1.1× 372 17.9k
John H. Kehrl United States 78 7.9k 1.8× 10.8k 2.7× 1.4k 1.0× 1.4k 1.0× 2.8k 2.0× 232 23.2k
David W. Golde United States 74 6.6k 1.5× 4.8k 1.2× 462 0.3× 1.8k 1.3× 1.2k 0.8× 257 19.1k
Takashi Yokota Japan 70 6.5k 1.5× 6.8k 1.7× 1.0k 0.7× 1.4k 1.0× 940 0.7× 418 19.6k

Countries citing papers authored by Georg Wick

Since Specialization
Citations

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

Fields of papers citing papers by Georg Wick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Wick

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Wick. A scholar is included among the top collaborators of Georg Wick 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 Georg Wick. Georg Wick 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.
Zollner, Andreas, Robert Koch, Almina Jukic, et al.. (2024). Clearance of Gut Mucosal SARS-CoV-2 Antigens and Postacute COVID-19 After 2 Years in Patients With Inflammatory Bowel Disease. Gastroenterology. 167(3). 604–607.e8. 3 indexed citations
2.
Hermann, Martin, et al.. (2024). Circulating microaggregates as biomarkers for the Post‐COVID syndrome. IDCases. 36. e02000–e02000.
3.
Wick, Georg, Cecilia Grundtman, Christina Mayerl, et al.. (2013). The Immunology of Fibrosis. Annual Review of Immunology. 31(1). 107–135. 269 indexed citations
4.
Erlacher, Miriam, et al.. (2005). TCR signaling inhibits glucocorticoid-induced apoptosis in murine thymocytes depending on the stage of development. European Journal of Immunology. 35(11). 3287–3296. 22 indexed citations
5.
Metzler, Bernhard, Qingbo Xu, & Georg Wick. (1998). The role of (auto-) immunity in atherogenesis.. PubMed. 110(10). 350–5. 5 indexed citations
6.
Dietrich, Hermann, Antonio Oliveira-dos-Santos, Karel Hála, & Georg Wick. (1996). Skin Allograft Survival in Chicken Strains with Spontaneous Autoimmune Diseases. Poultry Science. 75(3). 285–293. 4 indexed citations
7.
Grubeck‐Loebenstein, Beatrix, et al.. (1994). Retrobulbar T cells from patients with Graves' ophthalmopathy are CD8+ and specifically recognize autologous fibroblasts.. Journal of Clinical Investigation. 93(6). 2738–2743. 112 indexed citations
8.
Xu, Qingbo, Georg Wick, Helmut Wächter, & Gilbert Reibnegger. (1994). Relationship among Serum hsp65 Antibodies, Neopterin, Autoantibodies and Atherosclerosis. Pteridines. 5(4). 139–141. 3 indexed citations
9.
Sgonc, Roswitha, Guenther Boeck, Hermann Dietrich, et al.. (1994). Technical tips. Trends in Genetics. 10(2). 41–42. 177 indexed citations
10.
Ruedl, Christiane, Georg Wick, & Hugo Wolf. (1994). A novel and sensitive method for the detection of secreted cell products using time-resolved fluorescence. Journal of Immunological Methods. 168(1). 61–67. 4 indexed citations
12.
Wick, Georg, Paul Hengster, Geertruida H. de Bock, & M P Dierich. (1988). Improvement of immunofluorescence for diagnosis of AIDS using laser microscopy.. Journal of Histochemistry & Cytochemistry. 36(7). 793–796. 3 indexed citations
13.
Traill, Karine N. & Georg Wick. (1984). Lipids and lymphocyte function. Immunology Today. 5(3). 70–76. 80 indexed citations
14.
Carvalho, Lain C. Pontes de, et al.. (1982). The role of self-antigen in the development of autoimmunity in Obese strain chickens with spontaneous autoallergic thyroiditis.. The Journal of Experimental Medicine. 155(5). 1255–1266. 35 indexed citations
15.
Wick, Georg, et al.. (1981). Some general features of thyroid autoimmunity.. PubMed. 29(3). 297–304. 2 indexed citations
16.
Knapp, W., et al.. (1978). Immunofluorescence and related staining techniques : proceedings of the VIth International Conference on Immunofluorescence and Related Staining Techniques held in Vienna, Austria on April 6-8, 1978. Elsevier eBooks. 2 indexed citations
17.
Wick, Georg, et al.. (1978). Immunohistologic analysis of fetal and dermatosparactic calf and sheep skin with antisera to procollagen and collagen type I.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 39(2). 151–6. 18 indexed citations
18.
Timpl, Rupert, Georg Wick, & G Granditsch. (1977). Reticulin autoantibodies in childhood coeliac disease not directed against type III collagen.. PubMed Central. 28(3). 546–7. 7 indexed citations
19.
Wick, Georg, Boris Albini, & William Johnson. (1975). Antigenic surface determinants of chicken lymphoid cells. II. Selective in vivo and in vitro activity of anti-bursa and anti-thymus sera.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 28(2). 305–13. 14 indexed citations
20.
Wick, Georg, Joseph H. Kite, & Ernest Witebsky. (1970). Spontaneous thyroiditis in the obese strain of chickens. V. The effect of sublethal total body X-irradiation on the development of the disease.. PubMed. 104(2). 344–52. 15 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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