Asolina Braun

4.4k total citations
22 papers, 2.1k citations indexed

About

Asolina Braun is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Asolina Braun has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Asolina Braun's work include T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (12 papers) and Immune Cell Function and Interaction (12 papers). Asolina Braun is often cited by papers focused on T-cell and B-cell Immunology (14 papers), Immunotherapy and Immune Responses (12 papers) and Immune Cell Function and Interaction (12 papers). Asolina Braun collaborates with scholars based in Australia, Germany and United Kingdom. Asolina Braun's co-authors include Laura K. Mackay, Reinhold Förster, Tim Worbs, Francis R. Carbone, Thomas Gebhardt, Sammy Bedoui, Nicholas Collins, Bethany MacLeod, Federico Carbone and Daniel G. Pellicci and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Asolina Braun

20 papers receiving 2.1k citations

Peers

Asolina Braun
Tatyana Chtanova Australia
Andreas Schubel Germany
Laurence Ardouin France
Z. Joel Australia
Florentina Marches United States
Kristin G. Anderson United States
Xiaodi Wu China
Carlos G. Briseño United States
Erietta Stelekati United States
Dimitris Skokos United States
Tatyana Chtanova Australia
Asolina Braun
Citations per year, relative to Asolina Braun Asolina Braun (= 1×) peers Tatyana Chtanova

Countries citing papers authored by Asolina Braun

Since Specialization
Citations

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

Fields of papers citing papers by Asolina Braun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asolina Braun

This figure shows the co-authorship network connecting the top 25 collaborators of Asolina Braun. A scholar is included among the top collaborators of Asolina Braun 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 Asolina Braun. Asolina Braun 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.
Croft, Nathan P., et al.. (2025). Immunolyser 2.0: An advanced computational pipeline for comprehensive analysis of immunopeptidomic data. Computational and Structural Biotechnology Journal. 29. 296–304.
2.
Braun, Asolina, Jesse I. Mobbs, Sushma Anand, et al.. (2025). A transgenic mouse allows characterization of the HLA-C∗06:02 immunopeptidome in a model of psoriasis. Journal of Investigative Dermatology.
3.
Wang, Chuanmin, Pouya Faridi, Asolina Braun, et al.. (2025). Discovery of conserved peptide-MHC epitopes for directly alloreactive CD8+ T cells. PubMed. 4. 1525003–1525003. 1 indexed citations
4.
Tullett, Kirsteen M., Peck Szee Tan, Mireille H. Lahoud, et al.. (2024). A Simple and Rapid Protocol for the Isolation of Murine Bone Marrow Suitable for the Differentiation of Dendritic Cells. Methods and Protocols. 7(2). 20–20. 2 indexed citations
5.
Revote, Jerico, Sri H. Ramarathinam, Pouya Faridi, et al.. (2023). Immunolyser: A web-based computational pipeline for analysing and mining immunopeptidomic data. Computational and Structural Biotechnology Journal. 21. 1678–1687. 6 indexed citations
6.
Anand, Sushma, Dene R. Littler, Jesse I. Mobbs, et al.. (2023). Complimentary electrostatics dominate T-cell receptor binding to a psoriasis-associated peptide antigen presented by human leukocyte antigen C∗06:02. Journal of Biological Chemistry. 299(7). 104930–104930. 4 indexed citations
7.
Li, Chen, Jerico Revote, Sri H. Ramarathinam, et al.. (2021). Resourcing, annotating, and analysing synthetic peptides of SARS‐CoV‐2 for immunopeptidomics and other immunological studies. PROTEOMICS. 21(17-18). e2100036–e2100036. 5 indexed citations
8.
Hewavisenti, Rehana, Angela L. Ferguson, Asolina Braun, et al.. (2021). Tissue‐resident regulatory T cells accumulate at human barrier lymphoid organs. Immunology and Cell Biology. 99(8). 894–906. 9 indexed citations
9.
Faridi, Pouya, Sri H. Ramarathinam, Asolina Braun, et al.. (2021). The self-peptide repertoire plays a critical role in transplant tolerance induction. Journal of Clinical Investigation. 131(21). 20 indexed citations
10.
Permanyer, Marc, Kathrin Werth, Kai Yu, et al.. (2020). Efficient homing of T cells via afferent lymphatics requires mechanical arrest and integrin-supported chemokine guidance. Nature Communications. 11(1). 1114–1114. 41 indexed citations
11.
Nath, Artika P., Asolina Braun, Scott C. Ritchie, et al.. (2019). Comparative analysis reveals a role for TGF-β in shaping the residency-related transcriptional signature in tissue-resident memory CD8+ T cells. PLoS ONE. 14(2). e0210495–e0210495. 48 indexed citations
12.
Braun, Asolina, Jane Li, Corey Smith, et al.. (2016). Compartmentalization of Total and Virus-Specific Tissue-Resident Memory CD8+ T Cells in Human Lymphoid Organs. PLoS Pathogens. 12(8). e1005799–e1005799. 73 indexed citations
13.
Kiermaier, Eva, Christine Moussion, Christopher T. Veldkamp, et al.. (2015). Polysialylation controls dendritic cell trafficking by regulating chemokine recognition. Science. 351(6269). 186–190. 128 indexed citations
14.
Mackay, Laura K., Erica Wynne-Jones, David Freestone, et al.. (2015). T-box Transcription Factors Combine with the Cytokines TGF-β and IL-15 to Control Tissue-Resident Memory T Cell Fate. Immunity. 43(6). 1101–1111. 447 indexed citations
15.
Mackay, Laura K., Asolina Braun, Bethany MacLeod, et al.. (2015). Cutting Edge: CD69 Interference with Sphingosine-1-Phosphate Receptor Function Regulates Peripheral T Cell Retention. The Journal of Immunology. 194(5). 2059–2063. 386 indexed citations
16.
Ulvmar, Maria H., Kathrin Werth, Asolina Braun, et al.. (2014). The atypical chemokine receptor CCRL1 shapes functional CCL21 gradients in lymph nodes. Nature Immunology. 15(7). 623–630. 216 indexed citations
17.
Förster, Reinhold, Asolina Braun, & Tim Worbs. (2012). Lymph node homing of T cells and dendritic cells via afferent lymphatics. Trends in Immunology. 33(6). 271–280. 169 indexed citations
18.
Bubke, Anja, Oliver Dittrich‐Breiholz, Asolina Braun, et al.. (2011). Deficient CCR7 signaling promotes TH2 polarization and B‐cell activation in vivo. European Journal of Immunology. 42(1). 48–57. 24 indexed citations
19.
20.
Seth, Sebastian, Simon Danisch, Michael K. Maier, et al.. (2011). Intranodal Interaction with Dendritic Cells Dynamically Regulates Surface Expression of the Co-stimulatory Receptor CD226 Protein on Murine T Cells. Journal of Biological Chemistry. 286(45). 39153–39163. 19 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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