Una Rauchhaus

817 total citations
10 papers, 620 citations indexed

About

Una Rauchhaus is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Una Rauchhaus has authored 10 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Oncology. Recurrent topics in Una Rauchhaus's work include Immunotherapy and Immune Responses (3 papers), Systemic Lupus Erythematosus Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Una Rauchhaus is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Systemic Lupus Erythematosus Research (3 papers) and RNA Interference and Gene Delivery (2 papers). Una Rauchhaus collaborates with scholars based in Germany, Greece and France. Una Rauchhaus's co-authors include Nour Eddine El Gueddari, H. B. Deising, Bruno M. Moerschbacher, Steffen Panzner, Thomas Kamradt, Rolf Bräuer, Armin Saalmüller, Jutta Haunschild, Sigmar de Mello Rode and Holger M. Reichardt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and New Phytologist.

In The Last Decade

Una Rauchhaus

10 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Una Rauchhaus Germany 10 231 185 145 98 62 10 620
Alicia García Spain 20 196 0.8× 292 1.6× 337 2.3× 304 3.1× 123 2.0× 44 952
Chunhui Yuan China 17 405 1.8× 152 0.8× 42 0.3× 120 1.2× 13 0.2× 42 753
Kayo Yamamoto Japan 12 198 0.9× 90 0.5× 132 0.9× 55 0.6× 23 0.4× 42 489
Pamela K. Foreman United States 13 485 2.1× 160 0.9× 37 0.3× 18 0.2× 42 0.7× 21 803
Sreedhara Sangadala United States 18 869 3.8× 195 1.1× 39 0.3× 71 0.7× 16 0.3× 39 1.0k
Stefan Lorenz Germany 15 353 1.5× 72 0.4× 117 0.8× 89 0.9× 86 1.4× 19 644
Li C China 14 239 1.0× 67 0.4× 79 0.5× 26 0.3× 15 0.2× 112 572
T Egelrud Sweden 18 268 1.2× 32 0.2× 89 0.6× 56 0.6× 16 0.3× 38 1.2k
Mozhdeh Zamani Iran 17 407 1.8× 47 0.3× 53 0.4× 14 0.1× 32 0.5× 57 668

Countries citing papers authored by Una Rauchhaus

Since Specialization
Citations

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

Fields of papers citing papers by Una Rauchhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Una Rauchhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Una Rauchhaus. A scholar is included among the top collaborators of Una Rauchhaus 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 Una Rauchhaus. Una Rauchhaus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Fiedler, Erik, Anja Kunert, Jörg Nerkamp, et al.. (2014). Novel Ubiquitin-derived High Affinity Binding Proteins with Tumor Targeting Properties. Journal of Biological Chemistry. 289(12). 8493–8507. 27 indexed citations
2.
Arranz, Alicia, Konstantinos Papadakis, Andreas Dieckmann, et al.. (2012). Treatment of experimental murine colitis with CD40 antisense oligonucleotides delivered in amphoteric liposomes. Journal of Controlled Release. 165(3). 163–172. 27 indexed citations
3.
Baschant, Ulrike, Lucien Frappart, Una Rauchhaus, et al.. (2011). Glucocorticoid therapy of antigen-induced arthritis depends on the dimerized glucocorticoid receptor in T cells. Proceedings of the National Academy of Sciences. 108(48). 19317–19322. 84 indexed citations
4.
5.
Frey, Oliver, et al.. (2010). Regulatory T cells control the transition from acute into chronic inflammation in glucose-6-phosphate isomerase-induced arthritis. Annals of the Rheumatic Diseases. 69(8). 1511–1518. 36 indexed citations
6.
Anderson, Rebecca Cogwell, Àngels Franch, Margarida Castell, et al.. (2010). Liposomal encapsulation enhances and prolongs the anti-inflammatory effects of water-soluble dexamethasone phosphate in experimental adjuvant arthritis. Arthritis Research & Therapy. 12(4). R147–R147. 71 indexed citations
7.
Andreakos, Evangelos, Una Rauchhaus, Athanasios Stavropoulos, et al.. (2009). Amphoteric liposomes enable systemic antigen‐presenting cell–directed delivery of CD40 antisense and are therapeutically effective in experimental arthritis. Arthritis & Rheumatism. 60(4). 994–1005. 37 indexed citations
8.
9.
Beránek, J., Elke Kunisch, Robert Anderson, et al.. (2005). Authors' reply: CD68 is not a macrophage-specific antigen. Annals of the Rheumatic Diseases. 64(2). 342–344. 20 indexed citations
10.
Gueddari, Nour Eddine El, Una Rauchhaus, Bruno M. Moerschbacher, & H. B. Deising. (2002). Developmentally regulated conversion of surface‐exposed chitin to chitosan in cell walls of plant pathogenic fungi. New Phytologist. 156(1). 103–112. 207 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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