Eva Neugebauer

504 citations
7 papers · 398 · h-index 4

Impact in

  • Immunology top 10%
    • interferon and immune responses
    • Immune Cell Function and Interaction
    • Immune Response and Inflammation
    • Viral gastroenteritis research and epidemiology

Papers in

    • Cytokine Signaling Pathways and Interactions 2
    • Biochemical and Structural Characterization 1
    • RNA and protein synthesis mechanisms 1

Eva Neugebauer

7 papers receiving 391 citations

Peers

Eva Neugebauer
Comparison fields: 5 of 59
  • Immunology 242
  • Infectious Diseases 112
  • Hepatology 43
  • Epidemiology 138
  • Animal Science and Zoology 40
Replace Vanessa Ditt with:
Vanessa Ditt Germany
Helen Bright United Kingdom
Shahab Mahmoudvand Iran
Sreedhar Chinnaswamy India
Mitsue Kurita-Taniguchi Japan
Florence Herschke Belgium
Olfa Débbeche Canada
Shalyn C. Clute United States
Scott Werneke United States
Emmanouil Vakakis United Kingdom
Eva Neugebauer relative to Vanessa Ditt Germany Vanessa Ditt's profile →
Citations per field
00.5×1.5×
Vanessa Ditt · 1×
Citations per year

Countries citing papers authored by Eva Neugebauer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Neugebauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Neugebauer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Neugebauer Line = papers co-authored together Eva Neugebauer links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2010358
2 201926
3 20235
4 20253
5 20102
6
Mitspielen beim Zuschauen : Analyse zeitgleicher Sportberichterstattung des Fernsehens
19862
7 20102

About Eva Neugebauer

Eva Neugebauer is a scholar working on Oncology, Molecular Biology, Epidemiology, Immunology and Infectious Diseases, having authored 7 papers that have together received 398 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Biochemical and Structural Characterization (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), RNA and protein synthesis mechanisms (1 paper), Bacterial Genetics and Biotechnology (1 paper) and T-cell and Retrovirus Studies (1 paper). The work is most often cited by research in Immunology (242 citations), Infectious Diseases (112 citations), Hepatology (43 citations), Epidemiology (138 citations) and Animal Science and Zoology (40 citations). Eva Neugebauer has collaborated with scholars based in Germany, Belgium and Netherlands. Frequent co-authors include Stephan Günther, Stephan Ehl, Christian Drosten, Thomas Michiels, Birthe Jessen, Markus Mordstein, Toni Rieger, Valeria Falcone, Vanessa Ditt and Daniel Mayer. Their work appears in journals such as Cytokine, Microbial Cell Factories, Nature Communications, Frontiers in Immunology and Journal of Virology.

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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