Sylvia Kukel

831 citations
19 papers · 626 · h-index 13

Impact in

Papers in

    • Immune Cell Function and Interaction 8
    • T-cell and B-cell Immunology 7
    • Immunotherapy and Immune Responses 4
    • Dermatology and Skin Diseases 6

Sylvia Kukel

19 papers receiving 588 citations

Peers

Sylvia Kukel
Comparison fields: 5 of 57
  • Dermatology 347
  • Immunology and Allergy 144
  • Immunology 238
  • Virology 49
  • Physiology 115
Replace Martina Moderer with:
Martina Moderer Germany
Kunihiko Tamaki Japan
Andreas C. Häffner Switzerland
L. Kowalzick Germany
R Engst Germany
Marie‐Hélène Donnadieu France
Karoline Zepter Switzerland
Xi Luo China
Marisa Stebegg United Kingdom
G. De Panfilis Italy
Sylvia Kukel relative to Martina Moderer Germany Martina Moderer's profile →
Citations per field
00.5×3.8×
Martina Moderer · 1×
Citations per year

Countries citing papers authored by Sylvia Kukel

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Kukel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1990121
2 199379
3 199370
4 199470
5 199155
6 199438
7
Relationship of antibodies against CD4+ T cells in HIV-infected patients to markers of activation and progression: autoantibodies are closely associated with CD4 cell depletion.
199328
8 199426
9 199124
10 199119
11
Cytokine release from cultured peripheral blood mononuclear cells of patients with severe atopic dermatitis.
198919
12 199417
13 200916
14 199412
15 19899
16 19939
17 19948
18 19965
19 19941

About Sylvia Kukel

Sylvia Kukel is a scholar working on Immunology, Dermatology, Molecular Biology, Virology and Immunology and Allergy, having authored 19 papers that have together received 626 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (7 papers), Dermatology and Skin Diseases (6 papers), Immunotherapy and Immune Responses (4 papers), Allergic Rhinitis and Sensitization (3 papers), HIV Research and Treatment (3 papers), Skin and Cellular Biology Research (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Dermatology (347 citations), Immunology and Allergy (144 citations), Immunology (238 citations), Virology (49 citations) and Physiology (115 citations). Sylvia Kukel has collaborated with scholars based in Germany and Italy. Frequent co-authors include Uwe Reinhold, H. W. Kreysel, Wolfgang Wehrmann, Hinrich Abken, Rainer Müller, R. Bauer, Hans Wilhelm Kreysel, Josef Brzoska, Hans-Wilhelm Kreysel and Manfred Uerlich. Their work appears in journals such as Clinical & Experimental Immunology, Blood, Scandinavian Journal of Immunology, Journal of Investigative Dermatology and Cancer.

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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