Ute Wellmann

724 citations
9 papers · 608 · h-index 6

Impact in

  • Immunology top 5%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Galectins and Cancer Biology
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Systemic Lupus Erythematosus Research

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 3
    • Galectins and Cancer Biology 2
    • Systemic Lupus Erythematosus Research 5

Ute Wellmann

9 papers receiving 603 citations

Peers

Ute Wellmann
Comparison fields: 5 of 51
  • Immunology 482
  • Rheumatology 153
  • Radiology, Nuclear Medicine and Imaging 124
  • Immunology and Allergy 19
  • Genetics 28
Replace Ashwini Shadakshari with:
Ashwini Shadakshari United States
J L Chu United States
Ram Kumar Venigalla United Kingdom
Belinda Baltus Netherlands
David Plows Greece
Reimi Kawaida Japan
John C. Scatizzi United States
Kristen N. Cordova United States
Julia Schleypen Germany
Rosa Lovis United States
Ute Wellmann relative to Ashwini Shadakshari United States Ashwini Shadakshari's profile →
Citations per field
00.5×4.4×
Ashwini Shadakshari · 1×
Citations per year

Countries citing papers authored by Ute Wellmann

Since Specialization
Citations

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

Fields of papers citing papers by Ute Wellmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Ute Wellmann, 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 Ute Wellmann Line = papers co-authored together Ute Wellmann links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007168
2 2005166
3 2010115
4 201165
5 200151
6 200135
7 20235
8 20112
9 20121

About Ute Wellmann

Ute Wellmann is a scholar working on Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology and Allergy, having authored 9 papers that have together received 608 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Systemic Lupus Erythematosus Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Immune Cell Function and Interaction (3 papers), Glycosylation and Glycoproteins Research (2 papers), Galectins and Cancer Biology (2 papers) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Immunology (482 citations), Rheumatology (153 citations), Radiology, Nuclear Medicine and Imaging (124 citations), Immunology and Allergy (19 citations) and Genetics (28 citations). Ute Wellmann has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Thomas Winkler, Lars Nitschke, Julia Jellusova, Kerstin Amann, Martin Herrmann, Sieglinde Angermüller, Joachim R. Kalden, Florian Weisel, Jiquan Zhang and Sheena C. Kerr. Their work appears in journals such as European Journal of Immunology, Annals of the Rheumatic Diseases, Proceedings of the National Academy of Sciences, Nature Immunology and International Immunology.

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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