Per‐Georg Nyholm

945 total citations
29 papers, 769 citations indexed

About

Per‐Georg Nyholm is a scholar working on Molecular Biology, Endocrinology and Organic Chemistry. According to data from OpenAlex, Per‐Georg Nyholm has authored 29 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Endocrinology and 5 papers in Organic Chemistry. Recurrent topics in Per‐Georg Nyholm's work include Glycosylation and Glycoproteins Research (10 papers), Escherichia coli research studies (7 papers) and Enzyme Structure and Function (4 papers). Per‐Georg Nyholm is often cited by papers focused on Glycosylation and Glycoproteins Research (10 papers), Escherichia coli research studies (7 papers) and Enzyme Structure and Function (4 papers). Per‐Georg Nyholm collaborates with scholars based in Sweden, Canada and Germany. Per‐Georg Nyholm's co-authors include Irmin Pascher, S. Sundell, Max Lundmark, Clifford A. Lingwood, Ulf J. Nilsson, Pernilla Sörme, Hakon Leffler, Yuning Qian, Martin Frank and Francesco Strino and has published in prestigious journals such as Biochemistry, Biochemical Journal and Methods in enzymology on CD-ROM/Methods in enzymology.

In The Last Decade

Per‐Georg Nyholm

29 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Per‐Georg Nyholm Sweden 16 510 161 158 98 81 29 769
J. W. Engels Germany 14 625 1.2× 158 1.0× 92 0.6× 42 0.4× 76 0.9× 54 1.0k
John Badger United States 20 822 1.6× 99 0.6× 97 0.6× 17 0.2× 100 1.2× 48 1.3k
Mats Ökvist Norway 16 413 0.8× 45 0.3× 63 0.4× 77 0.8× 105 1.3× 34 658
Ingo P. Korndörfer Germany 13 916 1.8× 50 0.3× 127 0.8× 33 0.3× 45 0.6× 14 1.3k
Nam Huan Khieu Canada 13 359 0.7× 158 1.0× 89 0.6× 94 1.0× 134 1.7× 20 749
Beth L. Gillece-Castro United States 15 714 1.4× 113 0.7× 198 1.3× 66 0.7× 73 0.9× 19 1.2k
M.G. Grütter Switzerland 11 771 1.5× 123 0.8× 84 0.5× 26 0.3× 44 0.5× 13 1.2k
Eve de Rosny France 17 337 0.7× 75 0.5× 122 0.8× 37 0.4× 177 2.2× 31 766
H. M. Krishna Murthy United States 14 403 0.8× 89 0.6× 64 0.4× 27 0.3× 138 1.7× 23 892
Anja Resemann Germany 15 875 1.7× 76 0.5× 152 1.0× 14 0.1× 60 0.7× 22 1.4k

Countries citing papers authored by Per‐Georg Nyholm

Since Specialization
Citations

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

Fields of papers citing papers by Per‐Georg Nyholm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per‐Georg Nyholm

This figure shows the co-authorship network connecting the top 25 collaborators of Per‐Georg Nyholm. A scholar is included among the top collaborators of Per‐Georg Nyholm 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 Per‐Georg Nyholm. Per‐Georg Nyholm 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
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Nasir, Waqas, et al.. (2012). Lewis histo-blood group α1,3/α1,4 fucose residues may both mediate binding to GII.4 noroviruses. Glycobiology. 22(9). 1163–1172. 15 indexed citations
3.
Liu, Fang, et al.. (2012). Sperm arylsulfatase A binds to mZP2 and mZP3 glycoproteins in a nonenzymatic manner. Reproduction. 144(2). 209–219. 17 indexed citations
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Nasir, Waqas, et al.. (2010). Computational studies on the interaction of ABO-active saccharides with the norovirus VA387 capsid protein can explain experimental binding data. Journal of Computer-Aided Molecular Design. 24(5). 423–431. 13 indexed citations
6.
Strino, Francesco, Jenn‐Huei Lii, Hans‐Joachim Gabius, & Per‐Georg Nyholm. (2009). Conformational analysis of thioglycoside derivatives of histo-blood group ABH antigens using an ab initio-derived reparameterization of MM4: implications for design of non-hydrolysable mimetics. Journal of Computer-Aided Molecular Design. 23(12). 845–852. 11 indexed citations
7.
Carmona, Eurı́dice, et al.. (2009). Interaction of arylsulfatase-A (ASA) with its natural sulfoglycolipid substrates: a computational and site-directed mutagenesis study. Glycoconjugate Journal. 26(8). 1029–1045. 16 indexed citations
8.
Siebert, Hans‐Christian, Kamil Seyrek, Herbert Kaltner, et al.. (2005). α2,3/α2,6-Sialylation of N-glycans: non-synonymous signals with marked developmental regulation in bovine reproductive tracts. Biochimie. 88(5). 399–410. 18 indexed citations
9.
Strino, Francesco, et al.. (2005). The use of a genetic algorithm search for molecular mechanics (MM3)-based conformational analysis of oligosaccharides. Carbohydrate Research. 340(5). 1059–1064. 20 indexed citations
10.
Burlina, Alberto, et al.. (2003). Glycerol Metabolism and the Determination of Triglycerides –Clinical, Biochemical and Molecular Findings in Six Subjects. Clinical Chemistry and Laboratory Medicine (CCLM). 41(1). 46–55. 16 indexed citations
11.
Ilver, Dag, et al.. (2003). Bacterium–Host Protein–Carbohydrate Interactions. Methods in enzymology on CD-ROM/Methods in enzymology. 363. 134–157. 25 indexed citations
12.
Sörme, Pernilla, Yuning Qian, Per‐Georg Nyholm, Hakon Leffler, & Ulf J. Nilsson. (2002). Low Micromolar Inhibitors of Galectin‐3 Based on 3′‐Derivatization ofN‐Acetyllactosamine. ChemBioChem. 3(2-3). 183–189. 91 indexed citations
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Nyholm, Per‐Georg, James Brunton, & Clifford A. Lingwood. (1995). Modelling of the interaction of verotoxin-1 (VT1) with its glycolipid receptor, globotriaosylceramide (Gb3). International Journal of Biological Macromolecules. 17(3-4). 199–204. 27 indexed citations
16.
Nyholm, Per‐Georg & Irmin Pascher. (1993). Steric presentation and recognition of the saccharide chains of glycolipids at the cell surface: Favoured conformations of the saccharide-lipid linkage calculated using molecular mechanics (MM3). International Journal of Biological Macromolecules. 15(1). 43–51. 27 indexed citations
17.
Rydberg, Lennart, Michael E. Breimer, Jan Holgersson, et al.. (1992). Characterisation of the anti-A antibody response following an ABO incompatible (A2 to O) kidney transplantation. Molecular Immunology. 29(4). 547–560. 16 indexed citations
18.
Pascher, Irmin, Max Lundmark, Per‐Georg Nyholm, & S. Sundell. (1992). Crystal structures of membrane lipids. Biochimica et Biophysica Acta (BBA) - Reviews on Biomembranes. 1113(3-4). 339–373. 203 indexed citations
19.
Rydberg, Lennart, B. Cedergren, Michael E. Breimer, et al.. (1992). Serological and immunochemical characterization of anti-PP1 Pk (anti-Tja) antibodies in blood group little p individuals. Blood group a type 4 recognition due to internal binding. Molecular Immunology. 29(10). 1273–1286. 14 indexed citations
20.
Nyholm, Per‐Georg, et al.. (1982). Spermatozoa and spermatogenesis in homalorhagha kinorhyncha. Journal of Ultrastructure Research. 78(1). 1–12. 6 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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