Eva Roßmanith

670 citations
18 papers · 532 indexed · h-index 11

Impact in

    • Immune Response and Inflammation
    • Immune cells in cancer
  • Nephrology top 10%
    • Dialysis and Renal Disease Management

Papers in

    • Sepsis Diagnosis and Treatment 4
    • Immune Response and Inflammation 5
    • Inflammation biomarkers and pathways 2
    • T-cell and Retrovirus Studies 2

Eva Roßmanith

18 papers receiving 514 citations

Peers

Eva Roßmanith
Comparison fields: 5 of 102
  • Immunology 162
  • Nephrology 44
  • Cancer Research 61
  • Agronomy and Crop Science 38
  • Genetics 26
Replace Junping Li with:
Junping Li China
Christelle Marie France
Amy H. Chan Australia
Mingfu Tian China
Prabha Chandrasekaran United States
David Stirling United Kingdom
Elizabeth Dalby United States
Kenji Daigo Japan
Eva Roßmanith relative to Junping Li China Junping Li's profile →
Citations per field
00.5×2.9×
Junping Li · 1×
Citations per year

Countries citing papers authored by Eva Roßmanith

Since Specialization
Citations

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

Fields of papers citing papers by Eva Roßmanith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Roßmanith, 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 Roßmanith Line = papers co-authored together Eva Roßmanith links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2013213
2 201770
3 199949
4 200440
5 200125
6 200923
7 201021
8 199215
9 201914
10 199113
11 202210
12 20149
13 19997
14 20186
15 20215
16 20215
17 20064
18 19903

About Eva Roßmanith

Eva Roßmanith is a scholar working on Epidemiology, Immunology, Molecular Biology, Genetics and Agronomy and Crop Science, having authored 18 papers that have together received 532 indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Mesenchymal stem cell research (4 papers), Animal Disease Management and Epidemiology (4 papers), Sepsis Diagnosis and Treatment (4 papers), Vector-Borne Animal Diseases (3 papers), Inflammation biomarkers and pathways (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Immunology (162 citations), Nephrology (44 citations), Cancer Research (61 citations), Agronomy and Crop Science (38 citations) and Genetics (26 citations). Eva Roßmanith has collaborated with scholars based in Austria, Slovakia and Italy. Frequent co-authors include Viktoria Weber, D. Falkenhagen, Tanja Eichhorn, Ingrid Lang, Dagmar Pfeiffer, Günter Vogt, W. Rossmanith, Ingrid Linsberger, F. Bürki and Michael B. Fischer. Their work appears in journals such as Veterinary Microbiology, PLoS ONE, Sleep Medicine, Artificial Organs and Frontiers in Bioengineering and Biotechnology.

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.

Explore authors with similar magnitude of impact