Eva Niederer

1.3k citations
25 papers · 1.0k indexed · h-index 16

Impact in

  • Immunology top 10%
    • Immune Response and Inflammation
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Virology top 10%
    • HIV Research and Treatment

Papers in

    • HIV Research and Treatment 3
    • Immune Cell Function and Interaction 4
    • T-cell and Retrovirus Studies 3
    • Immune Response and Inflammation 3
    • Immunotherapy and Immune Responses 3

Eva Niederer

25 papers receiving 990 citations

Peers

Eva Niederer
Comparison fields: 5 of 92
  • Immunology 358
  • Virology 69
  • Oncology 320
  • Dermatology 97
  • Pharmaceutical Science 36
Replace Katrin Peter with:
Katrin Peter Germany
Subhashini Srinivasan United States
Laura Giuliani Italy
J. Paul Zoeteweij Netherlands
Kenia G. Krauer Australia
Christian Davrinche France
W. L. Epstein United States
M. A. Chirigos United States
G W Newman United States
Fatemeh Vahedi Iran
Eva Niederer relative to Katrin Peter Germany Katrin Peter's profile →
Citations per field
00.5×3.1×
Katrin Peter · 1×
Citations per year

Countries citing papers authored by Eva Niederer

Since Specialization
Citations

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

Fields of papers citing papers by Eva Niederer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201023
2 2009143
3 200720
4 200339
5 200234
6 199936
7 1998179
8 19985
9 199827
10 199828
11 19982
12 199722
13 19971
14 19976
15 199624
16 199611
17 199532
18 19948
19 199238
20 19897

About Eva Niederer

Eva Niederer is a scholar working on Virology, Immunology, Dermatology, Biochemistry and Biotechnology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include CAR-T cell therapy research (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and Retrovirus Studies (3 papers), HIV Research and Treatment (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Herpesvirus Infections and Treatments (3 papers), Immune Response and Inflammation (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (358 citations), Virology (69 citations), Oncology (320 citations), Dermatology (97 citations) and Pharmaceutical Science (36 citations). Eva Niederer has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include U. Ungethüm, O. Trentz, Marius Keel, Thomas Härtung, Ursula Steckholzer, Wolfgang Ertel, Werner Rubas, Heidi Wunderli‐Allenspach, H. Spahn‐Langguth and Hans P. Merkle. Their work appears in journals such as Veterinary Immunology and Immunopathology, Cytometry, Hematological Oncology, Journal of Pharmaceutical Sciences and British Journal of Haematology.

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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