F G Hanisch

1.5k total citations
23 papers, 1.1k citations indexed

About

F G Hanisch is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, F G Hanisch has authored 23 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Immunology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in F G Hanisch's work include Glycosylation and Glycoproteins Research (18 papers), Galectins and Cancer Biology (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). F G Hanisch is often cited by papers focused on Glycosylation and Glycoproteins Research (18 papers), Galectins and Cancer Biology (10 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). F G Hanisch collaborates with scholars based in Germany, United States and France. F G Hanisch's co-authors include Stefan Müller, G. Uhlenbruck, Jasna Peter‐Katalinić, Heinz Egge, C. Hanski, J. Da̧browski, Ursula Dąbrowski, Jörg Hacker, Horst Schroten and V. Wahn and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Biochemical Journal.

In The Last Decade

F G Hanisch

23 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
F G Hanisch Germany 14 870 392 297 284 131 23 1.1k
Shin Yazawa Japan 20 1.0k 1.2× 405 1.0× 355 1.2× 267 0.9× 74 0.6× 97 1.5k
Els C.M. Brinkman-Van der Linden United States 17 998 1.1× 618 1.6× 213 0.7× 276 1.0× 51 0.4× 18 1.4k
Matthew R. Kudelka United States 13 933 1.1× 402 1.0× 310 1.0× 153 0.5× 55 0.4× 23 1.1k
Hideo Yoshima Japan 12 743 0.9× 197 0.5× 338 1.1× 128 0.5× 89 0.7× 18 938
Maria Duk Poland 18 750 0.9× 308 0.8× 220 0.7× 260 0.9× 42 0.3× 45 992
W. Dahr Germany 30 1.5k 1.7× 292 0.7× 250 0.8× 297 1.0× 67 0.5× 76 2.3k
J C Byrd United States 9 522 0.6× 152 0.4× 221 0.7× 135 0.5× 65 0.5× 9 686
Saddam Muthana United States 18 958 1.1× 173 0.4× 655 2.2× 197 0.7× 64 0.5× 26 1.2k
Darius Ghaderi United States 12 899 1.0× 284 0.7× 141 0.5× 380 1.3× 30 0.2× 12 1.1k
Chun‐Ting Yuen United Kingdom 18 789 0.9× 321 0.8× 241 0.8× 192 0.7× 24 0.2× 31 1.1k

Countries citing papers authored by F G Hanisch

Since Specialization
Citations

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

Fields of papers citing papers by F G Hanisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by F G Hanisch. 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 F G Hanisch. The network helps show where F G Hanisch may publish in the future.

Co-authorship network of co-authors of F G Hanisch

This figure shows the co-authorship network connecting the top 25 collaborators of F G Hanisch. A scholar is included among the top collaborators of F G Hanisch 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 F G Hanisch. F G Hanisch 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.
Vihar, Boštjan, F G Hanisch, & Werner Baumgärtner. (2016). Neutral glycans from sandfish skin can reduce friction of polymers. Journal of The Royal Society Interface. 13(116). 20160103–20160103. 11 indexed citations
2.
Kinlough, Carol L., Simon Staubach, Paul A. Poland, et al.. (2013). Evidence for core 2 to core 1 O-glycan remodeling during the recycling of MUC1. Glycobiology. 23(8). 935–945. 18 indexed citations
3.
Parry, Simon, F G Hanisch, Shih‐Hsing Leir, et al.. (2006). N-Glycosylation of the MUC1 mucin in epithelial cells and secretions. Glycobiology. 16(7). 623–634. 73 indexed citations
4.
Julien, Sofi G., Éric Adriaenssens, Alessandro Furlan, et al.. (2005). ST6GalNAc I expression in MDA-MB-231 breast cancer cells greatly modifies their O-glycosylation pattern and enhances their tumourigenicity. Glycobiology. 16(1). 54–64. 166 indexed citations
5.
Lehr, Stefan, Jörg Kotzka, Haluk Avci, et al.. (2005). Effect of Sterol Regulatory Element Binding Protein-1a on the Mitochondrial Protein Pattern in Human Liver Cells Detected by 2D-DIGE. Biochemistry. 44(13). 5117–5128. 27 indexed citations
6.
Schroten, Horst, et al.. (2001). Anti-Infectious Properties of the Human Milk Fat Globule Membrane. Advances in experimental medicine and biology. 501. 189–192. 4 indexed citations
7.
Hanisch, F G & Stefan Müller. (2000). MUC1: the polymorphic appearance of a human mucin. Glycobiology. 10(5). 439–449. 226 indexed citations
8.
9.
Hanski, C., Klaus Drechsler, F G Hanisch, et al.. (1993). Altered glycosylation of the MUC-1 protein core contributes to the colon carcinoma-associated increase of mucin-bound sialyl-Lewis(x) expression.. PubMed. 53(17). 4082–8. 69 indexed citations
10.
Hanisch, F G, Klaus Bosslet, Karin Kolbe, et al.. (1993). Monoclonal Antibody BW494 Defines a Blood Group Lewis/Type1 Chain-Related Antigen on Carcinoma-Associated Mucins. Biological Chemistry Hoppe-Seyler. 374(7-12). 1083–1092. 5 indexed citations
11.
Baldus, Stephan, F G Hanisch, Martin Schwonzen, et al.. (1993). Monoclonal antibody SP-21 defines a sialosyl-Tn antigen expressed on carcinomas and K562 erythroleukemia cells.. PubMed. 12(6B). 1935–40. 8 indexed citations
12.
Vierbuchen, M., Sören Schröder, F G Hanisch, et al.. (1992). Blood group antigen expression in medullary carcinoma of the thyroid. Virchows Archiv B Cell Pathology Including Molecular Pathology. 62(1). 79–88. 17 indexed citations
13.
Schwonzen, Martin, Rudolf Schmits, M. Vierbuchen, et al.. (1992). Monoclonal antibody FW6 generated against a mucin-carbohydrate of human amniotic fluid recognises a colonic tumour-associated epitope. British Journal of Cancer. 65(4). 559–565. 13 indexed citations
14.
Hanisch, F G, C. Hanski, & Akira Hasegawa. (1992). Sialyl Lewis(x) antigen as defined by monoclonal antibody AM-3 is a marker of dysplasia in the colonic adenoma-carcinoma sequence.. PubMed. 52(11). 3138–44. 58 indexed citations
15.
Uhlenbruck, G, et al.. (1992). The lectin from the algae Udotea petiolata: isolation, characterization and sugar binding properties.. PubMed. 67–77. 1 indexed citations
16.
17.
Hanisch, F G, G. Uhlenbruck, Heinz Egge, & Jasna Peter‐Katalinić. (1989). A B72.3 Second-Generation-Monoclonal Antibody (CC49) Defines the Mucin-Carried Carbohydrate Epitope Galβ(1—3) [NeuAcα(2—6)]GalNAc. Biological Chemistry Hoppe-Seyler. 370(1). 21–26. 32 indexed citations
18.
Hanisch, F G, G. Uhlenbruck, Jasna Peter‐Katalinić, et al.. (1989). Structures of Neutral O-Linked Polylactosaminoglycans on Human Skim Milk Mucins. Journal of Biological Chemistry. 264(2). 872–883. 155 indexed citations
19.
Fischer, J., P. J. Klein, Graham H. Farrar, F G Hanisch, & G. Uhlenbruck. (1984). Isolation and chemical and immunochemical characterization of the peanut-lectin-binding glycoprotein from human milk-fat-globule membranes. Biochemical Journal. 224(2). 581–589. 13 indexed citations
20.
Hanisch, F G, et al.. (1983). Immunochemistry of O-Glycosidically-Linked Gal(β1→3) GalNAc on Fragments of Human Glycophorin A. Immunobiology. 165(2). 147–160. 8 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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