Lisa Bruns

503 total citations
8 papers, 300 citations indexed

About

Lisa Bruns is a scholar working on Immunology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Lisa Bruns has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Genetics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Lisa Bruns's work include Chronic Lymphocytic Leukemia Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Lisa Bruns is often cited by papers focused on Chronic Lymphocytic Leukemia Research (4 papers), T-cell and B-cell Immunology (4 papers) and Immunodeficiency and Autoimmune Disorders (4 papers). Lisa Bruns collaborates with scholars based in Germany, United States and Switzerland. Lisa Bruns's co-authors include Thomas Kamradt, Lars Morawietz, Oliver Frey, Ulrike Baschant, Holger M. Reichardt, Lucien Frappart, Philipp Haselmayer, Montserrat Camps, Rolf Bräuer and Una Rauchhaus and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Lisa Bruns

8 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Bruns Germany 6 167 90 64 63 51 8 300
Maciej Cabanski Switzerland 7 76 0.5× 66 0.7× 103 1.6× 34 0.5× 65 1.3× 9 316
Borja Hernández‐Breijo Spain 10 109 0.7× 41 0.5× 70 1.1× 30 0.5× 107 2.1× 34 276
Alice Huntsman Labed United States 4 241 1.4× 70 0.8× 112 1.8× 27 0.4× 161 3.2× 6 433
Wenhan Du China 10 194 1.2× 17 0.2× 91 1.4× 52 0.8× 100 2.0× 12 342
Alejandro Balsa Spain 9 141 0.8× 53 0.6× 72 1.1× 82 1.3× 173 3.4× 15 333
Peiqiang Li China 10 69 0.4× 34 0.4× 121 1.9× 43 0.7× 59 1.2× 21 300
C. Brunét Canada 10 195 1.2× 129 1.4× 35 0.5× 15 0.2× 152 3.0× 19 448
Adrian Tempescul France 12 139 0.8× 133 1.5× 125 2.0× 110 1.7× 22 0.4× 46 408
Jessica Herrath Sweden 8 214 1.3× 21 0.2× 46 0.7× 32 0.5× 109 2.1× 8 326
Linda M. Hartkamp Netherlands 6 207 1.2× 30 0.3× 99 1.5× 134 2.1× 53 1.0× 8 350

Countries citing papers authored by Lisa Bruns

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Bruns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Bruns

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

All Works

8 of 8 papers shown
1.
Haselmayer, Philipp, Montserrat Camps, Lesley Liu‐Bujalski, et al.. (2019). Efficacy and Pharmacodynamic Modeling of the BTK Inhibitor Evobrutinib in Autoimmune Disease Models. The Journal of Immunology. 202(10). 2888–2906. 108 indexed citations
2.
Haselmayer, Philipp, Montserrat Camps, Lesley Liu‐Bujalski, et al.. (2016). THU0275 Pharmacodynamic Modeling of BTK Occupancy versus Efficacy in RA and SLE Models Using The Novel Specific BTK Inhibitor M2951. Annals of the Rheumatic Diseases. 75. 286–287. 3 indexed citations
3.
Haselmayer, Philipp, Montserrat Camps, Samer El Bawab, et al.. (2014). Characterization of Novel PI3Kδ Inhibitors as Potential Therapeutics for SLE and Lupus Nephritis in Pre-Clinical Studies. Frontiers in Immunology. 5. 233–233. 24 indexed citations
4.
Baschant, Ulrike, Lucien Frappart, Una Rauchhaus, et al.. (2011). Glucocorticoid therapy of antigen-induced arthritis depends on the dimerized glucocorticoid receptor in T cells. Proceedings of the National Academy of Sciences. 108(48). 19317–19322. 84 indexed citations
5.
Frey, Oliver, Lisa Bruns, Lars Morawietz, Kyri Dunussi‐Joannopoulos, & Thomas Kamradt. (2011). B Cell Depletion Reduces the Number of Autoreactive T Helper Cells and Prevents Glucose-6-Phosphate Isomerase-Induced Arthritis. PLoS ONE. 6(9). e24718–e24718. 9 indexed citations
6.
Frey, Oliver, Jacquelyn S. Meisel, Andreas Hutloff, et al.. (2010). Inducible costimulator (ICOS) blockade inhibits accumulation of polyfunctional T helper 1/T helper 17 cells and mitigates autoimmune arthritis. Annals of the Rheumatic Diseases. 69(8). 1495–1501. 54 indexed citations
7.
Bruns, Lisa, Oliver Frey, Lars Morawietz, et al.. (2009). Immunization with an immunodominant self-peptide derived from glucose-6-phosphate isomerase induces arthritis in DBA/1 mice. Arthritis Research & Therapy. 11(4). R117–R117. 17 indexed citations
8.
Kamradt, Thomas, et al.. (2007). Arthritis induced by systemic autoimmunity against glucose-6-phosphate isomerase in normal mice. Arthritis Research & Therapy. 9(Suppl 3). P12–P12. 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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