Uwe Appelt

416 total citations
9 papers, 275 citations indexed

About

Uwe Appelt is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Uwe Appelt has authored 9 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Uwe Appelt's work include Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Uwe Appelt is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (2 papers) and Systemic Lupus Erythematosus Research (2 papers). Uwe Appelt collaborates with scholars based in Germany, United States and Netherlands. Uwe Appelt's co-authors include Andreá Schneider, Thomas Winkler, Florian Weisel, Michael Mach, Martin Messerle, Stipan Jonjić, Birgit Bradel-Tretheway, Christine Kaeppel, Manfred Schmidt and Philippe Moullier and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Uwe Appelt

9 papers receiving 271 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Uwe Appelt Germany	7	115	101	92	75	41	9	275
Rosaely Casalegno‐Garduño Germany	12	124 1.1×	167 1.7×	103 1.1×	47 0.6×	82 2.0×	16	323
Ana Coelho Sweden	9	126 1.1×	108 1.1×	22 0.2×	111 1.5×	30 0.7×	14	302
Helene Will Germany	4	268 2.3×	107 1.1×	104 1.1×	62 0.8×	48 1.2×	7	386
Elizabeth Rivers United Kingdom	9	156 1.4×	95 0.9×	43 0.5×	90 1.2×	61 1.5×	12	309
Laila Samady United Kingdom	7	171 1.5×	152 1.5×	157 1.7×	69 0.9×	73 1.8×	7	420
Friedrich-Wilhelm von Herrmann Germany	4	124 1.1×	239 2.4×	32 0.3×	37 0.5×	42 1.0×	31	376
Nikita Trivedi United States	6	98 0.9×	371 3.7×	45 0.5×	44 0.6×	31 0.8×	8	478
Debra Long Priel United States	5	78 0.7×	125 1.2×	105 1.1×	43 0.6×	30 0.7×	6	250
Selina Pasquero Italy	8	98 0.9×	71 0.7×	144 1.6×	25 0.3×	46 1.1×	14	290
Yukai Jing China	12	110 1.0×	187 1.9×	55 0.6×	24 0.3×	47 1.1×	31	352

Countries citing papers authored by Uwe Appelt

Since Specialization

Citations

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

Fields of papers citing papers by Uwe Appelt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Uwe Appelt

This figure shows the co-authorship network connecting the top 25 collaborators of Uwe Appelt. A scholar is included among the top collaborators of Uwe Appelt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Uwe Appelt. Uwe Appelt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Irrgang, Pascal, Ralf J. Rieker, Carol I. Geppert, et al.. (2025). Inflammatory conditions shape phenotypic and functional characteristics of lung-resident memory T cells in mice. Nature Communications. 16(1). 3612–3612. 2 indexed citations

2.

Wilhelm, Artur, Luis E. Muñoz, Simon Völkl, et al.. (2024). Metabolic profiling of single cells by exploiting NADH and FAD fluorescence via flow cytometry. Molecular Metabolism. 87. 101981–101981. 4 indexed citations

3.

Tel, Jurjen, Katrin Jozefowski, Katharina Lahl, et al.. (2015). Selective Expression of the MAPK Phosphatase Dusp9/MKP-4 in Mouse Plasmacytoid Dendritic Cells and Regulation of IFN-β Production. The Journal of Immunology. 195(4). 1753–1762. 8 indexed citations

4.

Wacker, Ingrid, et al.. (2012). A Common Role for Various Human Truncated Adenomatous Polyposis Coli Isoforms in the Control of Beta-Catenin Activity and Cell Proliferation. PLoS ONE. 7(4). e34479–e34479. 37 indexed citations

5.

Nowrouzi, Ali, Magalie Penaud‐Budloo, Christine Kaeppel, et al.. (2012). Integration Frequency and Intermolecular Recombination of rAAV Vectors in Non-human Primate Skeletal Muscle and Liver. Molecular Therapy. 20(6). 1177–1186. 82 indexed citations

6.

Muñoz, Luis E., Benjamin Frey, Uwe Appelt, et al.. (2010). Peripheral Blood Stem Cells of Patients with Systemic Lupus Erythematosus Show Altered Differentiation into Macrophages. 2(1). 7 indexed citations

7.

Weisel, Florian, Uwe Appelt, Andreá Schneider, et al.. (2010). Unique Requirements for Reactivation of Virus-Specific Memory B Lymphocytes. The Journal of Immunology. 185(7). 4011–4021. 26 indexed citations

8.

Weisel, Florian, Andreá Schneider, Uwe Appelt, et al.. (2007). Protection from CMV infection in immunodeficient hosts by adoptive transfer of memory B cells. Blood. 110(9). 3472–3479. 103 indexed citations

9.

Franz, Sandra, et al.. (2004). The role of a defective clearance in the pathogenesis of systemic lupus erythematosus. Arthritis Research. 6(Suppl 1). 104–104. 6 indexed citations

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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