Angelika Schmidt

1.8k total citations · 1 hit paper
28 papers, 1.3k citations indexed

About

Angelika Schmidt is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Angelika Schmidt has authored 28 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Immunology, 13 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Angelika Schmidt's work include T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (9 papers). Angelika Schmidt is often cited by papers focused on T-cell and B-cell Immunology (16 papers), Immune Cell Function and Interaction (11 papers) and Immunotherapy and Immune Responses (9 papers). Angelika Schmidt collaborates with scholars based in Sweden, Germany and Saudi Arabia. Angelika Schmidt's co-authors include Peter H. Krammer, Nina Oberle, Jesper Tegnér, Ming-Mei Shang, Heiko Weyd, Elisabeth Suri‐Payer, Britta Brügger, Mathias Haag, Xing‐Mei Zhang and Robert A. Harris and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and PLoS ONE.

In The Last Decade

Angelika Schmidt

28 papers receiving 1.3k citations

Hit Papers

Molecular Mechanisms of Treg-Mediated T Cell Suppression 2012 2026 2016 2021 2012 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
Angelika Schmidt Sweden 15 777 363 292 104 80 28 1.3k
Mercedes Zubiaur Spain 24 827 1.1× 583 1.6× 233 0.8× 98 0.9× 161 2.0× 50 1.7k
Jennifer E. Smith‐Garvin United States 6 1.2k 1.6× 492 1.4× 492 1.7× 106 1.0× 78 1.0× 7 1.7k
Luca Simeoni Germany 24 965 1.2× 1.0k 2.9× 383 1.3× 155 1.5× 78 1.0× 49 2.1k
Ursula Bommhardt Germany 25 1.0k 1.3× 766 2.1× 356 1.2× 129 1.2× 168 2.1× 40 2.0k
Nikolaus Fortelny Austria 18 428 0.6× 719 2.0× 271 0.9× 192 1.8× 65 0.8× 28 1.5k
Ko Okumura Japan 19 995 1.3× 501 1.4× 198 0.7× 127 1.2× 118 1.5× 48 1.7k
Denise Gretener Switzerland 13 554 0.7× 532 1.5× 217 0.7× 65 0.6× 67 0.8× 15 1.3k
Daniel Hebenstreit United Kingdom 21 525 0.7× 1.0k 2.8× 291 1.0× 231 2.2× 64 0.8× 45 1.9k
Reiko Matsumoto Japan 19 513 0.7× 401 1.1× 152 0.5× 367 3.5× 90 1.1× 56 1.5k
Robert Loewe Austria 21 512 0.7× 569 1.6× 647 2.2× 149 1.4× 114 1.4× 46 1.5k

Countries citing papers authored by Angelika Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Angelika Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angelika Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Angelika Schmidt. A scholar is included among the top collaborators of Angelika Schmidt 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 Angelika Schmidt. Angelika Schmidt 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.
Schmidt, Angelika & Dirk Baumjohann. (2021). 3D Tissue Explant and Single-Cell Suspension Organoid Culture Systems for Ex Vivo Drug Testing on Human Tonsil-Derived T Follicular Helper Cells. Methods in molecular biology. 2380. 267–288. 6 indexed citations
2.
Schmidt, Angelika, Johanna E. Huber, Özen Sercan, et al.. (2020). Complex human adenoid tissue-based ex vivo culture systems reveal anti-inflammatory drug effects on germinal center T and B cells. EBioMedicine. 53. 102684–102684. 11 indexed citations
3.
Παπουτσόγλου, Γεώργιος, Vincenzo Lagani, Angelika Schmidt, et al.. (2019). Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of Randomization. Cytometry Part A. 95(11). 1178–1190. 9 indexed citations
4.
Morikawa, Hiromasa, Ewoud Ewing, Stephan Ruhrmann, et al.. (2019). Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients. Scientific Reports. 9(1). 11996–11996. 11 indexed citations
5.
Mortusewicz, Oliver, Angelika Schmidt, Arthur Fischbach, et al.. (2019). Restriction of AID activity and somatic hypermutation by PARP-1. Nucleic Acids Research. 47(14). 7418–7429. 7 indexed citations
6.
Stadler, Charlotte, Robert Lehmann, Janne Lehtiö, et al.. (2019). TcellSubC: An Atlas of the Subcellular Proteome of Human T Cells. Frontiers in Immunology. 10. 2708–2708. 16 indexed citations
7.
Shang, Ming-Mei, et al.. (2019). Phosphatase inhibitor PPP1R11 modulates resistance of human T cells toward Treg-mediated suppression of cytokine expression. Journal of Leukocyte Biology. 106(2). 413–430. 14 indexed citations
8.
Schmidt, Angelika, Francesco Marabita, Narsis A. Kiani, et al.. (2018). Time-resolved transcriptome and proteome landscape of human regulatory T cell (Treg) differentiation reveals novel regulators of FOXP3. BMC Biology. 16(1). 47–47. 48 indexed citations
9.
Triantafillou, Sofia, Vincenzo Lagani, Christina Heinze‐Deml, et al.. (2017). Predicting Causal Relationships from Biological Data: Applying Automated Causal Discovery on Mass Cytometry Data of Human Immune Cells. Scientific Reports. 7(1). 22 indexed citations
10.
Marabita, Francesco, Zhenhua Sui, Amnon Altman, et al.. (2017). Phosphoproteomics Reveals Regulatory T Cell-Mediated DEF6 Dephosphorylation That Affects Cytokine Expression in Human Conventional T Cells. Frontiers in Immunology. 8. 1163–1163. 8 indexed citations
11.
Παπουτσόγλου, Γεώργιος, et al.. (2017). SCENERY: a web application for (causal) network reconstruction from cytometry data. Nucleic Acids Research. 45(W1). W270–W275. 6 indexed citations
14.
Schmidt, Angelika, et al.. (2016). TGF-β Affects the Differentiation of Human GM-CSF+ CD4+ T Cells in an Activation- and Sodium-Dependent Manner. Frontiers in Immunology. 7. 603–603. 5 indexed citations
15.
Böttcher, Katrin, Angelika Schmidt, Elisabeth Kremmer, et al.. (2016). PARP activation promotes nuclear AID accumulation in lymphoma cells. Oncotarget. 7(11). 13197–13208. 6 indexed citations
16.
Gustafsson, Nina, Laura Strittmatter, Angelika Schmidt, et al.. (2015). The folate-coupled enzyme MTHFD2 is a nuclear protein and promotes cell proliferation. Scientific Reports. 5(1). 15029–15029. 80 indexed citations
17.
Schmidt, Angelika, et al.. (2014). Checkpoint kinase 2 is required for efficient immunoglobulin diversification. Cell Cycle. 13(23). 3659–3669. 10 indexed citations
18.
Schmidt, Angelika, Nina Oberle, & Peter H. Krammer. (2012). Molecular Mechanisms of Treg-Mediated T Cell Suppression. Frontiers in Immunology. 3. 51–51. 575 indexed citations breakdown →
19.
Haag, Mathias, Angelika Schmidt, Timo Sachsenheimer, & Britta Brügger. (2012). Quantification of Signaling Lipids by Nano-Electrospray Ionization Tandem Mass Spectrometry (Nano-ESI MS/MS). Metabolites. 2(1). 57–76. 37 indexed citations
20.
Schmidt, Angelika, Nina Oberle, Sergij Goerdt, et al.. (2009). FOXP3+CD25− Tumor Cells with Regulatory Function in Sézary Syndrome. Journal of Investigative Dermatology. 129(12). 2875–2885. 46 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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