Marianna Traugott

1.7k total citations
37 papers, 797 citations indexed

About

Marianna Traugott is a scholar working on Infectious Diseases, Neurology and Epidemiology. According to data from OpenAlex, Marianna Traugott has authored 37 papers receiving a total of 797 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 11 papers in Neurology and 8 papers in Epidemiology. Recurrent topics in Marianna Traugott's work include SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (20 papers) and Long-Term Effects of COVID-19 (11 papers). Marianna Traugott is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (20 papers) and Long-Term Effects of COVID-19 (11 papers). Marianna Traugott collaborates with scholars based in Austria, Australia and Sweden. Marianna Traugott's co-authors include Alexander Zoufaly, Judith H. Aberle, Erich Pawelka, Tamara Seitz, Stephan W. Aberle, Wolfgang Hoepler, Elisabeth Puchhammer‐Stöckl, Christoph Wenisch, Karin Stiasny and Hermann Laferl and has published in prestigious journals such as Journal of Clinical Microbiology, The Journal of Infectious Diseases and Frontiers in Immunology.

In The Last Decade

Marianna Traugott

35 papers receiving 786 citations

Peers

Marianna Traugott
Comparison fields: 5 of 88
  • Infectious Diseases 561
  • Neurology 187
  • Molecular Biology 117
  • Immunology 97
  • Epidemiology 85
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Jinya Ding China
Adina Bar‐Chaim Israel
Lianfeng Lu China
Luisa Marchioni Italy
Erich Pawelka Austria
Paul Chui Singapore
Yatir Ben‐Shlomo Israel
Joon-Sung Joh South Korea
Huaqin Pan China
Sreedhar Adapa United States
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Citations per field, relative to Marianna Traugott
Marianna Traugott · 1×
Citations per year, relative to Marianna Traugott
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Countries citing papers authored by Marianna Traugott

Since Specialization
Citations

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

Fields of papers citing papers by Marianna Traugott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marianna Traugott

This figure shows the co-authorship network connecting the top 25 collaborators of Marianna Traugott. A scholar is included among the top collaborators of Marianna Traugott 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 Marianna Traugott. Marianna Traugott 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
# Work Indexed citations
1 1
2 4
3 0
4 1
5 5
6 9
7 9
8 21
9 44
10 26
11 81
12 12
13 7
14 7
15 14
16 51
17 7
18 11
19 8
20 51

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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