David Bauché

692 total citations
9 papers, 544 citations indexed

About

David Bauché is a scholar working on Immunology, Oncology and Surgery. According to data from OpenAlex, David Bauché has authored 9 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Oncology and 2 papers in Surgery. Recurrent topics in David Bauché's work include Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). David Bauché is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and IL-33, ST2, and ILC Pathways (3 papers). David Bauché collaborates with scholars based in United States, France and Germany. David Bauché's co-authors include Julien C. Marie, Simon Campbell, Mark A. Travis, Catherine Smedley, John J. Worthington, Aoife Kelly, Jennifer H. Yearley, Lakshmanan Annamalai, J. Daniel and Barbara Joyce-Shaikh and has published in prestigious journals such as Journal of Clinical Investigation, Immunity and Cancer Research.

In The Last Decade

David Bauché

8 papers receiving 540 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Bauché United States 7 319 150 148 59 58 9 544
Elisabeth H. Vollmann United States 8 742 2.3× 146 1.0× 240 1.6× 37 0.6× 76 1.3× 9 1.1k
Katharina Hochheiser Germany 12 444 1.4× 160 1.1× 212 1.4× 28 0.5× 26 0.4× 17 705
Marouan Zarrouk United Kingdom 9 175 0.5× 63 0.4× 131 0.9× 46 0.8× 33 0.6× 12 382
Donatella Buonfiglio Italy 12 429 1.3× 112 0.7× 153 1.0× 30 0.5× 41 0.7× 15 645
Julie Mussard France 10 504 1.6× 163 1.1× 194 1.3× 23 0.4× 39 0.7× 13 680
Kumi Izawa Japan 13 465 1.5× 79 0.5× 209 1.4× 27 0.5× 24 0.4× 29 734
Hubert Gander Austria 16 634 2.0× 388 2.6× 247 1.7× 92 1.6× 59 1.0× 27 973
Saikiran K. Sedimbi Sweden 13 531 1.7× 136 0.9× 207 1.4× 77 1.3× 91 1.6× 29 747
Sonja Zahner United States 16 744 2.3× 124 0.8× 209 1.4× 88 1.5× 69 1.2× 18 1.0k
Hayley Bridgeman United Kingdom 9 568 1.8× 285 1.9× 182 1.2× 40 0.7× 41 0.7× 13 778

Countries citing papers authored by David Bauché

Since Specialization
Citations

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

Fields of papers citing papers by David Bauché

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Bauché

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

All Works

9 of 9 papers shown
1.
Healy, Jane, et al.. (2023). Advances in Therapies Targeting Inhibitory Checkpoint Receptors: TIGIT, LAG-3, and Beyond. 8(1). 115–133. 1 indexed citations
2.
Hernández‐Vargas, Héctor, Nicolas Benech, David Bauché, et al.. (2022). SMAD4 TGF-β–independent function preconditions naive CD8+ T cells to prevent severe chronic intestinal inflammation. Journal of Clinical Investigation. 132(8). 17 indexed citations
3.
Tan, Tze Guan, Aleksandra Olow, Michael T. Wong, et al.. (2022). SPATA2 and CYLD inhibit T cell infiltration into colorectal cancer via regulation of IFN-γ/STAT1 axis. Frontiers in Oncology. 12. 1016307–1016307.
4.
Bauché, David, Smita Mauze, Christina M. Kochel, et al.. (2020). Antitumor efficacy of combined CTLA4/PD-1 blockade without intestinal inflammation is achieved by elimination of FcγR interactions. Journal for ImmunoTherapy of Cancer. 8(2). e001584–e001584. 21 indexed citations
5.
Bauché, David, Barbara Joyce-Shaikh, Alejandro V. Villarino, et al.. (2020). IL-23 and IL-2 activation of STAT5 is required for optimal IL-22 production in ILC3s during colitis. Science Immunology. 5(46). 42 indexed citations
6.
Gourdin, Nicolas, Selena Viganó, Christelle Machon, et al.. (2018). Autocrine Adenosine Regulates Tumor Polyfunctional CD73+CD4+ Effector T Cells Devoid of Immune Checkpoints. Cancer Research. 78(13). 3604–3618. 59 indexed citations
7.
Bauché, David, Barbara Joyce-Shaikh, Renu Jain, et al.. (2018). LAG3+ Regulatory T Cells Restrain Interleukin-23-Producing CX3CR1+ Gut-Resident Macrophages during Group 3 Innate Lymphoid Cell-Driven Colitis. Immunity. 49(2). 342–352.e5. 158 indexed citations
8.
Bauché, David & Julien C. Marie. (2017). Transforming growth factor β: a master regulator of the gut microbiota and immune cell interactions. Clinical & Translational Immunology. 6(4). e136–e136. 96 indexed citations
9.
Worthington, John J., Aoife Kelly, Catherine Smedley, et al.. (2015). Integrin αvβ8-Mediated TGF-β Activation by Effector Regulatory T Cells Is Essential for Suppression of T-Cell-Mediated Inflammation. Immunity. 42(5). 903–915. 150 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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