Daniel Mucida

18.7k total citations · 6 hit papers
78 papers, 11.1k citations indexed

About

Daniel Mucida is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, Daniel Mucida has authored 78 papers receiving a total of 11.1k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Immunology, 17 papers in Molecular Biology and 9 papers in Physiology. Recurrent topics in Daniel Mucida's work include Immune Cell Function and Interaction (41 papers), T-cell and B-cell Immunology (34 papers) and IL-33, ST2, and ILC Pathways (20 papers). Daniel Mucida is often cited by papers focused on Immune Cell Function and Interaction (41 papers), T-cell and B-cell Immunology (34 papers) and IL-33, ST2, and ILC Pathways (20 papers). Daniel Mucida collaborates with scholars based in United States, Brazil and Germany. Daniel Mucida's co-authors include Hilde Cheroutre, Mitchell Kronenberg, Yunji Park, Iain Scott, Gisen Kim, Olga Turovskaya, Paul Müller, Bernardo Sgarbi Reis, Sergei I. Grivennikov and Lars Eckmann and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Daniel Mucida

77 papers receiving 11.0k citations

Hit Papers

IL-6 and Stat3 Are Required for Survival of Intestinal Ep... 2007 2026 2013 2019 2009 2007 2014 2016 2020 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Mucida United States 48 5.9k 3.4k 1.7k 1.1k 1.1k 78 11.1k
Giuseppe Penna Italy 49 5.5k 0.9× 2.5k 0.7× 1.5k 0.9× 1.1k 0.9× 1.3k 1.2× 92 11.5k
Adrian Liston Belgium 50 6.2k 1.0× 4.2k 1.2× 1.6k 1.0× 881 0.8× 1.2k 1.1× 190 11.7k
Oliver Pabst Germany 52 5.8k 1.0× 3.0k 0.9× 890 0.5× 1.0k 0.9× 1.1k 1.0× 116 10.1k
Bao Lu United States 60 6.5k 1.1× 2.3k 0.7× 2.3k 1.4× 2.2k 2.0× 640 0.6× 126 12.4k
Edward E. S. Nieuwenhuis Netherlands 43 3.3k 0.5× 3.5k 1.0× 1.4k 0.8× 608 0.5× 1.9k 1.7× 122 9.5k
Liang Zhou United States 29 9.1k 1.5× 2.5k 0.7× 1.7k 1.0× 1.1k 1.0× 1.0k 0.9× 56 12.4k
Shohei Hori Japan 42 14.1k 2.4× 4.0k 1.2× 2.8k 1.7× 1.1k 1.0× 1.8k 1.6× 77 19.1k
Stefan Wirtz Germany 52 6.0k 1.0× 3.8k 1.1× 2.1k 1.3× 693 0.6× 3.1k 2.8× 152 12.6k
Brigitta Stockinger United Kingdom 61 14.7k 2.5× 4.1k 1.2× 2.3k 1.4× 1.8k 1.6× 1.5k 1.3× 154 20.9k
Nagendra Singh United States 36 2.8k 0.5× 4.2k 1.3× 1.2k 0.7× 1.3k 1.1× 763 0.7× 86 8.3k

Countries citing papers authored by Daniel Mucida

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Mucida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mucida

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Mucida. A scholar is included among the top collaborators of Daniel Mucida 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 Daniel Mucida. Daniel Mucida 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.
2.
Gates, Leah, Bernardo Sgarbi Reis, Peder J. Lund, et al.. (2024). Histone butyrylation in the mouse intestine is mediated by the microbiota and associated with regulation of gene expression. Nature Metabolism. 6(4). 697–707. 25 indexed citations
3.
Nakandakari-Higa, Sandra, Sarah K. Walker, Maria Cecília Campos Canesso, et al.. (2024). Universal recording of immune cell interactions in vivo. Nature. 627(8003). 399–406. 47 indexed citations
4.
Lockhart, Ainsley, et al.. (2023). Dietary protein shapes the profile and repertoire of intestinal CD4+ T cells. The Journal of Experimental Medicine. 220(8). 17 indexed citations
5.
Reis, Bernardo Sgarbi, Adam Kornberg, Yelina Alvarez, et al.. (2022). TCR-Vγδ usage distinguishes protumor from antitumor intestinal γδ T cell subsets. Science. 377(6603). 276–284. 79 indexed citations
6.
Veeken, Joris van der, Clarissa Campbell, Yuri Pritykin, et al.. (2022). Genetic tracing reveals transcription factor Foxp3-dependent and Foxp3-independent functionality of peripherally induced Treg cells. Immunity. 55(7). 1173–1184.e7. 52 indexed citations
7.
Matsuzawa, Yu, Xiaomin Yao, Akiko Koide, et al.. (2022). The γδ IEL effector API5 masks genetic susceptibility to Paneth cell death. Nature. 610(7932). 547–554. 36 indexed citations
8.
Parsa, Roham, Mariya London, Tiago B. R. Castro, et al.. (2022). Newly recruited intraepithelial Ly6A+CCR9+CD4+ T cells protect against enteric viral infection. Immunity. 55(7). 1234–1249.e6. 23 indexed citations
9.
Sullivan, Zuri A., William Khoury-Hanold, Jaechul Lim, et al.. (2021). γδ T cells regulate the intestinal response to nutrient sensing. Science. 371(6535). 82 indexed citations
10.
Basu, Jayati, Bernardo Sgarbi Reis, Suraj Peri, et al.. (2021). Essential role of a ThPOK autoregulatory loop in the maintenance of mature CD4+ T cell identity and function. Nature Immunology. 22(8). 969–982. 10 indexed citations
11.
Silva, Hernandez Moura, Jamil Z. Kitoko, Lina Kroehling, et al.. (2021). c-MAF–dependent perivascular macrophages regulate diet-induced metabolic syndrome. Science Immunology. 6(64). eabg7506–eabg7506. 36 indexed citations
12.
Müller, Paul, Fanny Matheis, Marc Schneeberger, et al.. (2020). Microbiota-modulated CART + enteric neurons autonomously regulate blood glucose. Science. 370(6514). 314–321. 108 indexed citations
13.
Bilate, Angelina M., Mariya London, Tiago B. R. Castro, et al.. (2020). T Cell Receptor Is Required for Differentiation, but Not Maintenance, of Intestinal CD4+ Intraepithelial Lymphocytes. Immunity. 53(5). 1001–1014.e20. 54 indexed citations
14.
Nowosad, Carla R., Luka Mesin, Tiago B. R. Castro, et al.. (2020). Tunable dynamics of B cell selection in gut germinal centres. Nature. 588(7837). 321–326. 69 indexed citations
15.
Silva, Hernandez Moura, André Báfica, Gabriela F Rodrigues-Luiz, et al.. (2019). Vasculature-associated fat macrophages readily adapt to inflammatory and metabolic challenges. The Journal of Experimental Medicine. 216(4). 786–806. 109 indexed citations
16.
Faria, Ana Maria Caetano, Bernardo Sgarbi Reis, & Daniel Mucida. (2017). Tissue adaptation: Implications for gut immunity and tolerance. The Journal of Experimental Medicine. 214(5). 1211–1226. 43 indexed citations
17.
Rogoz, Aneta, Bernardo Sgarbi Reis, Roos A. Karssemeijer, & Daniel Mucida. (2015). A 3-D enteroid-based model to study T-cell and epithelial cell interaction. Journal of Immunological Methods. 421. 89–95. 59 indexed citations
18.
Bikard, David, Asma Hatoum-Aslan, Daniel Mucida, & Luciano A. Marraffini. (2012). CRISPR Interference Can Prevent Natural Transformation and Virulence Acquisition during In Vivo Bacterial Infection. Cell Host & Microbe. 12(2). 177–186. 245 indexed citations
19.
Grivennikov, Sergei I., Daniel Mucida, Janoš Terzić, et al.. (2009). The role of IL-6 and IL-23 in colitis associated cancer (88.30). The Journal of Immunology. 182(Supplement_1). 88.30–88.30. 1 indexed citations
20.
Mucida, Daniel, Yunji Park, Gisen Kim, et al.. (2007). Reciprocal T H 17 and Regulatory T Cell Differentiation Mediated by Retinoic Acid. Science. 317(5835). 256–260. 1586 indexed citations breakdown →

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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