Elsa Neubert

744 citations
15 papers · 546 · h-index 9

Impact in

  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
    • Immune Response and Inflammation
    • Cell Adhesion Molecules Research

Papers in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 8
    • S100 Proteins and Annexins 2
    • Advanced biosensing and bioanalysis techniques 1
    • Protein Degradation and Inhibitors 1

Elsa Neubert

12 papers receiving 544 citations

Peers

Elsa Neubert
Comparison fields: 5 of 85
  • Immunology 296
  • Immunology and Allergy 69
  • Bioengineering 15
  • Molecular Biology 174
  • Biomedical Engineering 98
Replace Marie‐Bernadette Villiers with:
Marie‐Bernadette Villiers France
V. Antonini Italy
Tyler J. Lieberthal United States
Eva M. Olsen Denmark
C. Hoffmann Germany
Rasmus K. Jensen Denmark
Sean P. Gunsten United States
Tomoko Kawaguchi Japan
Stephanie A. Fraser United States
Elsa Neubert relative to Marie‐Bernadette Villiers France Marie‐Bernadette Villiers's profile →
Citations per field
00.5×7.2×
Marie‐Bernadette Villiers · 1×
Citations per year

Countries citing papers authored by Elsa Neubert

Since Specialization
Citations

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

Fields of papers citing papers by Elsa Neubert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2018179
2 2019106
3 201968
4 201846
5 201944
6 201941
7 202026
8 202015
9 202313
10 20224
11 20243
12 20241
13 20250
14 20250
15 20250

About Elsa Neubert

Elsa Neubert is a scholar working on Immunology, Molecular Biology, Immunology and Allergy, Genetics and Biomedical Engineering, having authored 15 papers that have together received 546 indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (8 papers), Cell Adhesion Molecules Research (5 papers), Blood disorders and treatments (3 papers), S100 Proteins and Annexins (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Protein Degradation and Inhibitors (1 paper), Nanoplatforms for cancer theranostics (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Immunology (296 citations), Immunology and Allergy (69 citations), Bioengineering (15 citations), Molecular Biology (174 citations) and Biomedical Engineering (98 citations). Elsa Neubert has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Luise Erpenbeck, Sebastian Kruss, Daniel Meyer, Michael P. Schön, Gökhan Günay, Julia Busse, Florian A. Mann, Meshkat Dinarvand, Alexander Egner and F. Rocca. Their work appears in journals such as Frontiers in Immunology, Cancers, iScience, mAbs and Nature Communications.

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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