M. Saurwein-Teissl

1.3k citations
15 papers · 964 indexed · h-index 12
Topics
Immunotherapy and Immune Responses (7 papers)Immune Cell Function and Interaction (6 papers)Influenza Virus Research Studies (5 papers)

In The Last Decade

M. Saurwein-Teissl

15 papers receiving 945 citations

Peers

M. Saurwein-Teissl
Comparison fields: 5 of 92
  • Immunology 538
  • Epidemiology 294
  • Physiology 209
  • Neurology 189
  • Molecular Biology 145
Replace P J Linton with:
P J Linton United States
B. Grubeck‐Loebenstein Austria
María Cecilia Rodriguez‐Galán Argentina
Ryan D. Molony United States
Ed Remarque Netherlands
Angela Man United Kingdom
Vali Kermani-Arab United States
Luisa Möhle Germany
Nanda Kumar N. Shanmugam United States
M. Saurwein-Teissl relative to P J Linton United States P J Linton's profile →
Citations per field
00.5×1.5×1.9×
P J Linton · 1×
Citations per year

Countries citing papers authored by M. Saurwein-Teissl

Since Specialization
Citations

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

Fields of papers citing papers by M. Saurwein-Teissl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Saurwein-Teissl. 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 M. Saurwein-Teissl. The network helps show where M. Saurwein-Teissl may publish in the future.

Co-authorship network of co-authors of M. Saurwein-Teissl

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 6
2 17
3 382
4 22
5
[Vaccine protection in the elderly: are Austrian seniors adequately protected by vaccinations?].
20
6 32
7 212
8 126
9 37
10 14
11 38
12 1
13 40
14 16
15 1

About M. Saurwein-Teissl

M. Saurwein-Teissl is a scholar working on Immunology, Epidemiology and Parasitology, having authored 15 papers that have together received 964 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (7 papers), Immune Cell Function and Interaction (6 papers) and Influenza Virus Research Studies (5 papers). The work is most often cited by research in Biological Psychiatry (85 citations), Immunology (538 citations) and Neurology (189 citations). M. Saurwein-Teissl has collaborated with scholars based in Austria, Switzerland and Netherlands. Frequent co-authors include B. Grubeck‐Loebenstein, Imrich Blasko, Walther Parson, Beatrix Grubeck‐Loebenstein, D Schönitzer, Florentine Marx, Piet Eikelenboom, Günther Böck, Emanuelle Trannoy and Robert Veerhuis. Their work appears in journals such as The Journal of Immunology, Vaccine and Neurobiology of Disease.

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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