Johanna Erber

1.0k total citations
30 papers, 317 citations indexed

About

Johanna Erber is a scholar working on Infectious Diseases, Neurology and Molecular Biology. According to data from OpenAlex, Johanna Erber has authored 30 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Infectious Diseases, 6 papers in Neurology and 5 papers in Molecular Biology. Recurrent topics in Johanna Erber's work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Long-Term Effects of COVID-19 (6 papers). Johanna Erber is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Long-Term Effects of COVID-19 (6 papers). Johanna Erber collaborates with scholars based in Germany, Austria and United States. Johanna Erber's co-authors include Rainer Kaiser, Raphael Escaig, Leo Nicolai, Roland M. Schmid, Jochen Schneider, Ulrike Protzer, Tobias Lahmer, Christoph D. Spinner, Sebastian Rasch and Dieter Hoffmann and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Johanna Erber

28 papers receiving 315 citations

Peers

Johanna Erber
Comparison fields: 5 of 89
  • Infectious Diseases 135
  • Molecular Biology 95
  • Neurology 68
  • Epidemiology 50
  • Immunology 40
Replace Ruili Zhang with:
Ruili Zhang China
Xiaomin Cheng China
Ana Mendes‐Frias Portugal
Andreas Lind Norway
Shashikala Sangle India
Zhengqing Yu China
Sharafudeen Dahiru Abubakar Nigeria
Carlos Capela Portugal
Santos Bermejo United States
Tracey Freeman United States
Ruili Zhang China View profile →
Citations per field, relative to Johanna Erber
Johanna Erber · 1×
Citations per year, relative to Johanna Erber
Johanna Erber · 1×

Countries citing papers authored by Johanna Erber

Since Specialization
Citations

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

Fields of papers citing papers by Johanna Erber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johanna Erber

This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Erber. A scholar is included among the top collaborators of Johanna Erber 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 Johanna Erber. Johanna Erber 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 0
2 1
3 3
4 5
5 13
6 1
7 1
8 59
9 20
10 9
11 39
12 1
13 49
14
Neurological implications of COVID-19-results of the LEOSS registry
1
15 2
16 7
17 5
18 13
19 9
20 19

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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