Sunna Hauschildt

4.4k total citations · 1 hit paper
112 papers, 3.3k citations indexed

About

Sunna Hauschildt is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sunna Hauschildt has authored 112 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 35 papers in Immunology and 22 papers in Oncology. Recurrent topics in Sunna Hauschildt's work include Calcium signaling and nucleotide metabolism (17 papers), Immune Response and Inflammation (17 papers) and PARP inhibition in cancer therapy (16 papers). Sunna Hauschildt is often cited by papers focused on Calcium signaling and nucleotide metabolism (17 papers), Immune Response and Inflammation (17 papers) and PARP inhibition in cancer therapy (16 papers). Sunna Hauschildt collaborates with scholars based in Germany, United Kingdom and United States. Sunna Hauschildt's co-authors include Wolfgang G. Bessler, Manuela Rossol, Undine Meusch, Holger Heine, Alexander Mülsch, Dagmar Quandt, Matthew J. Sweet, Peter I. Mordvintcev, Hans‐Dieter Flad and Rudi Busse and has published in prestigious journals such as The Journal of Immunology, American Journal of Clinical Nutrition and Scientific Reports.

In The Last Decade

Sunna Hauschildt

111 papers receiving 3.3k citations

Hit Papers

LPS-induced Cytokine Production in Human Monocytes and Ma... 2011 2026 2016 2021 2011 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunna Hauschildt Germany 33 1.1k 974 677 381 357 112 3.3k
Xavier Collet France 39 1.9k 1.7× 554 0.6× 460 0.7× 588 1.5× 297 0.8× 90 4.6k
Daniel S. Fletcher United States 11 595 0.5× 726 0.7× 678 1.0× 173 0.5× 237 0.7× 17 2.2k
Peter Brouckaert Belgium 39 1.5k 1.3× 1.5k 1.5× 900 1.3× 547 1.4× 133 0.4× 144 4.5k
Daniel Lundell United States 27 1.3k 1.2× 977 1.0× 538 0.8× 923 2.4× 130 0.4× 57 3.4k
Denis J. Schrier United States 29 934 0.8× 449 0.5× 721 1.1× 319 0.8× 127 0.4× 71 3.8k
Darren D. Browning United States 34 2.5k 2.2× 686 0.7× 789 1.2× 666 1.7× 129 0.4× 72 4.1k
Aiping Bai United States 37 1.8k 1.6× 807 0.8× 312 0.5× 330 0.9× 346 1.0× 73 3.2k
Jorge Lloberas Spain 40 2.4k 2.1× 1.8k 1.9× 592 0.9× 733 1.9× 424 1.2× 77 5.3k
George P. Vlasuk United States 43 1.6k 1.4× 349 0.4× 639 0.9× 499 1.3× 215 0.6× 81 5.1k
Michel Lepoivre France 29 1.3k 1.1× 544 0.6× 1.4k 2.0× 309 0.8× 102 0.3× 71 3.5k

Countries citing papers authored by Sunna Hauschildt

Since Specialization
Citations

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

Fields of papers citing papers by Sunna Hauschildt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunna Hauschildt

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

All Works

20 of 20 papers shown
1.
Friedrich, Maik, Maximilian Merz, Vladan Vučinić, et al.. (2023). Teclistamab impairs detection of BCMA CAR-T cells. Blood Advances. 7(15). 3842–3845. 4 indexed citations
2.
Jungnickel, Harald, Katharina Zoldan, Charlotte Esser, et al.. (2022). Aryl Hydrocarbon Receptor Activation by Benzo[a]pyrene Prevents Development of Septic Shock and Fatal Outcome in a Mouse Model of Systemic Salmonella enterica Infection. Cells. 11(4). 737–737. 10 indexed citations
3.
Weber, Klaus, et al.. (2021). Indol-3-Carbinol and Quercetin Ameliorate Chronic DSS-Induced Colitis in C57BL/6 Mice by AhR-Mediated Anti-Inflammatory Mechanisms. International Journal of Environmental Research and Public Health. 18(5). 2262–2262. 73 indexed citations
5.
Sack, Ulrich, et al.. (2017). Molecular mechanism of LPS-induced TNF-α biosynthesis in polarized human macrophages. Molecular Immunology. 93. 206–215. 28 indexed citations
6.
Dorow, Juliane, Susen Becker, Linda Kortz, et al.. (2016). Preanalytical Investigation of Polyunsaturated Fatty Acids and Eicosanoids in Human Plasma by Liquid Chromatography–Tandem Mass Spectrometry. Biopreservation and Biobanking. 14(2). 107–113. 32 indexed citations
7.
Kraft, Robert, et al.. (2010). Transient Receptor Potential Melastatin 2 Is Required for Lipopolysaccharide-Induced Cytokine Production in Human Monocytes. The Journal of Immunology. 184(5). 2386–2393. 116 indexed citations
8.
Hauschildt, Sunna, et al.. (2009). Involvement of P2X receptors in the NAD+-induced rise in [Ca2+]i in human monocytes. Purinergic Signalling. 5(3). 309–319. 25 indexed citations
9.
Rossol, Manuela, Undine Meusch, Matthias Pierer, et al.. (2007). Interaction between Transmembrane TNF and TNFR1/2 Mediates the Activation of Monocytes by Contact with T Cells. The Journal of Immunology. 179(6). 4239–4248. 81 indexed citations
10.
Pfister, Martín, et al.. (2001). NAD degradation and regulation of CD38 expression by human monocytes/macrophages. European Journal of Biochemistry. 268(21). 5601–5608. 3 indexed citations
11.
Ogilvie, Adaling, et al.. (2001). NAD degradation and regulation of CD38 expression by human monocytes/macrophages. European Journal of Biochemistry. 268(21). 5601–5608. 33 indexed citations
12.
Thiele, Andrea, Mark Wasner, Claudia Müller, Kurt Engeland, & Sunna Hauschildt. (2001). Regulation and Possible Function of β-Catenin in Human Monocytes. The Journal of Immunology. 167(12). 6786–6793. 33 indexed citations
13.
Hauschildt, Sunna, et al.. (1996). IgY Antibodies as Secondary Reagent in FACS Analysis.. PubMed. 13(5). 40–44. 1 indexed citations
14.
Oertel, Michael, et al.. (1996). Kinetics of IgY Formation after Immunisation of Hens with Different Protein Antigens.. PubMed. 13(5). 18–21. 10 indexed citations
15.
Severin, Thomas, et al.. (1994). pH-Dependent LAK Cell Cytotoxicity. Tumor Biology. 15(5). 304–310. 38 indexed citations
16.
Hauschildt, Sunna & Wolfgang G. Bessler. (1988). Role of inositol starvation on ecto-5′-nucleotidase activity during mitogen-induced lymphocyte activation. Immunology Letters. 19(1). 71–76. 3 indexed citations
17.
Hauschildt, Sunna, et al.. (1983). Effect of Benzoate on Glycine Metabolism in Rats Fed Branched-Chain α-Ketoacids. Journal of Nutrition. 113(10). 1956–1962. 3 indexed citations
18.
Hauschildt, Sunna & Karl Brand. (1980). Effects of Branched-Chain α-Keto Acids on Enzymes Involved in Branched-Chain α-Keto Acid Metabolism in Rat Tissues. Journal of Nutrition. 110(8). 1709–1716. 16 indexed citations
19.
Hauschildt, Sunna, et al.. (1976). Metabolic investigations after xylitol infusion in human subjects. American Journal of Clinical Nutrition. 29(3). 258–273. 25 indexed citations
20.
Hauschildt, Sunna & W. Feldheim. (1971). Thiamin supply and glyoxylate metabolism in the rat.. International Journal for Vitamin and Nutrition Research. 41(3). 408–418. 1 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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