Ulrike Bode

3.0k total citations · 1 hit paper
46 papers, 2.3k citations indexed

About

Ulrike Bode is a scholar working on Immunology, Surgery and Epidemiology. According to data from OpenAlex, Ulrike Bode has authored 46 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 8 papers in Surgery and 7 papers in Epidemiology. Recurrent topics in Ulrike Bode's work include T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (21 papers) and Immunotherapy and Immune Responses (21 papers). Ulrike Bode is often cited by papers focused on T-cell and B-cell Immunology (27 papers), Immune Cell Function and Interaction (21 papers) and Immunotherapy and Immune Responses (21 papers). Ulrike Bode collaborates with scholars based in Germany, United Kingdom and China. Ulrike Bode's co-authors include Oliver Pabst, Reinhold Förster, Jürgen Westermann, Manuela Büettner, Sheng Yan, Matthias Hoffmann, Gabriele Hintzen, Tim Worbs, Günter Bernhardt and Manuela Ahrendt and has published in prestigious journals such as The Journal of Experimental Medicine, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Ulrike Bode

45 papers receiving 2.2k citations

Hit Papers

Oral tolerance originates in the intestinal immune system... 2006 2026 2012 2019 2006 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
Ulrike Bode Germany 21 1.2k 514 385 271 269 46 2.3k
Mónica G. Chiaramonte United States 18 711 0.6× 515 1.0× 253 0.7× 140 0.5× 150 0.6× 29 2.0k
Hans Sprenger Germany 27 1.2k 1.0× 712 1.4× 121 0.3× 439 1.6× 111 0.4× 46 2.2k
Carmelo Luci France 24 1.6k 1.3× 571 1.1× 126 0.3× 269 1.0× 317 1.2× 38 2.4k
Ju‐Young Seoh South Korea 24 875 0.7× 184 0.4× 191 0.5× 206 0.8× 455 1.7× 90 2.2k
Mike Recher Switzerland 28 1.7k 1.4× 480 0.9× 117 0.3× 245 0.9× 107 0.4× 84 2.7k
Gabriela Fernández Argentina 26 745 0.6× 287 0.6× 153 0.4× 137 0.5× 119 0.4× 75 1.7k
Adil E. Wakil United States 14 1.3k 1.1× 871 1.7× 595 1.5× 154 0.6× 288 1.1× 23 3.0k
E A Wierenga Netherlands 21 1.5k 1.2× 794 1.5× 879 2.3× 224 0.8× 131 0.5× 27 3.3k
Andrea M. Woltman Netherlands 37 3.0k 2.4× 1.2k 2.3× 817 2.1× 431 1.6× 196 0.7× 83 4.4k
Jean‐Paul Dessaint France 29 1.1k 0.9× 325 0.6× 74 0.2× 149 0.5× 331 1.2× 99 2.9k

Countries citing papers authored by Ulrike Bode

Since Specialization
Citations

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

Fields of papers citing papers by Ulrike Bode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrike Bode

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrike Bode. A scholar is included among the top collaborators of Ulrike Bode 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 Ulrike Bode. Ulrike Bode 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.
Weiberg, Desiree, et al.. (2018). Participation of the spleen in the IgA immune response in the gut. PLoS ONE. 13(10). e0205247–e0205247. 25 indexed citations
2.
Büettner, Manuela, Oliver Dittrich‐Breiholz, Christine S. Falk, et al.. (2014). Stromal cells as trend-setters for cells migrating into the lymph node. Mucosal Immunology. 8(3). 640–649. 6 indexed citations
3.
Cording, Sascha, Benjamin Wahl, Devesha H. Kulkarni, et al.. (2013). The intestinal micro-environment imprints stromal cells to promote efficient Treg induction in gut-draining lymph nodes. Mucosal Immunology. 7(2). 359–368. 78 indexed citations
4.
Büettner, Manuela & Ulrike Bode. (2011). Stromal cells directly mediate the re-establishment of the lymph node compartments after transplantation by CXCR5 or CCL19/21 signalling. Immunology. 133(2). 257–269. 10 indexed citations
5.
Pabst, Reinhard, et al.. (2009). Mesenteric lymph nodes are not required for an intestinal immunoglobulin A response to oral cholera toxin. Immunology. 129(3). 427–436. 20 indexed citations
6.
Büettner, Manuela, Reinhard Pabst, & Ulrike Bode. (2009). Stromal cell heterogeneity in lymphoid organs. Trends in Immunology. 31(2). 80–86. 24 indexed citations
7.
Ahrendt, Manuela, Swantje I. Hammerschmidt, Oliver Pabst, Reinhard Pabst, & Ulrike Bode. (2008). Stromal Cells Confer Lymph Node-Specific Properties by Shaping a Unique Microenvironment Influencing Local Immune Responses. The Journal of Immunology. 181(3). 1898–1907. 51 indexed citations
8.
Hammerschmidt, Swantje I., Manuela Ahrendt, Ulrike Bode, et al.. (2008). Stromal mesenteric lymph node cells are essential for the generation of gut-homing T cells in vivo. The Journal of Experimental Medicine. 205(11). 2483–2490. 251 indexed citations
9.
Bode, Ulrike, Manuela Ahrendt, Kathrin Kalies, et al.. (2007). Dendritic cell subsets in lymph nodes are characterized by the specific draining area and influence the phenotype and fate of primed T cells. Immunology. 123(4). 480–490. 12 indexed citations
10.
Worbs, Tim, Ulrike Bode, Sheng Yan, et al.. (2006). Oral tolerance originates in the intestinal immune system and relies on antigen carriage by dendritic cells. The Journal of Experimental Medicine. 203(3). 519–527. 543 indexed citations breakdown →
12.
Bode, Ulrike, Kerstin Tiedemann, & Jürgen Westermann. (2004). CD4+ effector T cell distribution in vivo: TGF‐β1/TGF‐β receptor II interaction during activation mediates accumulation in the target tissue by preferential proliferation. European Journal of Immunology. 34(4). 1050–1058. 5 indexed citations
13.
Bode, Ulrike, et al.. (2002). The Fate of Effector T Cells In Vivo Is Determined During Activation and Differs for CD4+ and CD8+ Cells. The Journal of Immunology. 169(11). 6085–6091. 12 indexed citations
14.
Bode, Ulrike, Gisela Sparmann, & Jürgen Westermann. (2001). Gut-derived effector T cells circulating in the blood of the rat: preferential re-distribution by TGFβ-1 and IL-4 maintained proliferation. European Journal of Immunology. 31(7). 2116–2125. 19 indexed citations
15.
Luettig, Birgit, et al.. (2001). Recent Thymic Emigrants (CD4+) Continuously Migrate Through Lymphoid Organs: within the Tissue They Alter Surface Molecule Expression. Scandinavian Journal of Immunology. 53(6). 563–571. 27 indexed citations
16.
Luettig, Birgit, Ulrike Bode, Eric B. Bell, et al.. (2001). Naive and Memory T Cells Migrate in Comparable Numbers through the Normal Rat Lung. American Journal of Respiratory Cell and Molecular Biology. 25(1). 69–77. 19 indexed citations
17.
Westermann, Jürgen & Ulrike Bode. (1999). Distribution of activated T cells migrating through the body: a matter of life and death. Immunology Today. 20(7). 302–306. 70 indexed citations
20.
Krüger, Martin, Hans L. Tillmann, Christian Trautwein, et al.. (1996). Famciclovir treatment of hepatitis B virus recurrence after liver transplantation: A pilot study. Liver Transplantation and Surgery. 2(4). 253–262. 77 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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