Hannes Perschinka

1.1k total citations
8 papers, 839 citations indexed

About

Hannes Perschinka is a scholar working on Molecular Biology, Immunology and Small Animals. According to data from OpenAlex, Hannes Perschinka has authored 8 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Small Animals. Recurrent topics in Hannes Perschinka's work include Heat shock proteins research (6 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Brucella: diagnosis, epidemiology, treatment (2 papers). Hannes Perschinka is often cited by papers focused on Heat shock proteins research (6 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Brucella: diagnosis, epidemiology, treatment (2 papers). Hannes Perschinka collaborates with scholars based in Austria, Netherlands and United States. Hannes Perschinka's co-authors include Georg Wick, Gunda Millonig, Manuel Mayr, Qingbo Xu, Johann Willeit, Stefan Kiechl, Georg Wick, Georg Egger, Georg Schett and Georg Wick and has published in prestigious journals such as Circulation, Journal of Cell Science and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Hannes Perschinka

8 papers receiving 812 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannes Perschinka Austria 7 481 311 126 110 83 8 839
H.J. Schuurman Netherlands 17 347 0.7× 399 1.3× 98 0.8× 59 0.5× 25 0.3× 45 931
Barbara Magi Italy 20 638 1.3× 187 0.6× 125 1.0× 123 1.1× 31 0.4× 37 1.5k
Kristin Eiklid Norway 24 521 1.1× 558 1.8× 123 1.0× 78 0.7× 26 0.3× 44 1.8k
Hanchao Gao China 18 570 1.2× 581 1.9× 206 1.6× 40 0.4× 27 0.3× 57 1.5k
Masamichi Kishishita Japan 12 443 0.9× 196 0.6× 177 1.4× 37 0.3× 79 1.0× 17 1.1k
Gopalkrishna Sreejit United States 16 516 1.1× 375 1.2× 219 1.7× 26 0.2× 185 2.2× 25 1.1k
Laure Perrin‐Cocon France 23 452 0.9× 570 1.8× 443 3.5× 51 0.5× 41 0.5× 38 1.4k
Judith Austermann Germany 14 582 1.2× 377 1.2× 91 0.7× 74 0.7× 16 0.2× 19 910
Yuan Lin China 20 792 1.6× 187 0.6× 255 2.0× 68 0.6× 27 0.3× 63 1.5k
Kirsty Minton United States 13 336 0.7× 298 1.0× 93 0.7× 39 0.4× 17 0.2× 230 845

Countries citing papers authored by Hannes Perschinka

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Perschinka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Perschinka

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Perschinka. A scholar is included among the top collaborators of Hannes Perschinka 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 Hannes Perschinka. Hannes Perschinka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Perschinka, Hannes, Bernd Wellenzohn, Walther Parson, et al.. (2006). Identification of atherosclerosis-associated conformational heat shock protein 60 epitopes by phage display and structural alignment. Atherosclerosis. 194(1). 79–87. 26 indexed citations
2.
Fasching, Mario, et al.. (2005). Enhancing the Methyl-Donor Activity of Methylcobalamin by Covalent Attachment of DNA. Chemistry & Biodiversity. 2(2). 178–197. 6 indexed citations
3.
Pfister, Gerald, Cordula M. Stroh, Hannes Perschinka, et al.. (2005). Detection of HSP60 on the membrane surface of stressed human endothelial cells by atomic force and confocal microscopy. Journal of Cell Science. 118(8). 1587–1594. 143 indexed citations
4.
Perschinka, Hannes, Manuel Mayr, Gunda Millonig, et al.. (2003). Cross-Reactive B-Cell Epitopes of Microbial and Human Heat Shock Protein 60/65 in Atherosclerosis. Arteriosclerosis Thrombosis and Vascular Biology. 23(6). 1060–1065. 138 indexed citations
5.
Wick, Georg, Hannes Perschinka, & Gunda Millonig. (2001). Atherosclerosis as an autoimmune disease: an update. Trends in Immunology. 22(12). 665–669. 115 indexed citations
6.
Xu, Qingbo, Georg Schett, Hannes Perschinka, et al.. (2000). Serum Soluble Heat Shock Protein 60 Is Elevated in Subjects With Atherosclerosis in a General Population. Circulation. 102(1). 14–20. 341 indexed citations
7.
Perschinka, Hannes, Georg Schett, Manuel Mayr, et al.. (2000). Serum Soluble Heat-Shock Protein 60 Is Elevated in Subjects with Atherosclerosis in a General Population. Biochemical Society Transactions. 28(5). A233–A233. 1 indexed citations
8.
Wick, Georg, Hannes Perschinka, & Qingbo Xu. (1999). Autoimmunity and atherosclerosis. American Heart Journal. 138(5). S444–S449. 69 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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