Anna Morath

862 total citations
10 papers, 463 citations indexed

About

Anna Morath is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Anna Morath has authored 10 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Anna Morath's work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (2 papers). Anna Morath is often cited by papers focused on T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers) and CAR-T cell therapy research (2 papers). Anna Morath collaborates with scholars based in Germany, Switzerland and Thailand. Anna Morath's co-authors include Wolfgang W. Schamel, Susana Minguet, Frederike A. Hartl, O. Sascha Yousefi, Esmeralda Beck-Garcìa, Raquel Blanco, Aldo Borroto, Thomas Höfer, Elaine P. Dopfer and Mahima Swamy and has published in prestigious journals such as Nature Communications, Immunity and Nature Immunology.

In The Last Decade

Anna Morath

10 papers receiving 460 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Morath Germany 9 264 157 150 34 33 10 463
Mei Su United States 13 143 0.5× 138 0.9× 143 1.0× 24 0.7× 32 1.0× 28 403
Gina Scurti United States 11 323 1.2× 281 1.8× 182 1.2× 34 1.0× 10 0.3× 23 539
Ewa Cendrowicz Netherlands 7 237 0.9× 177 1.1× 179 1.2× 36 1.1× 25 0.8× 11 480
Meike Dahlhaus Germany 9 288 1.1× 132 0.8× 389 2.6× 19 0.6× 16 0.5× 17 612
Valerie Sloane Jones China 7 208 0.8× 237 1.5× 200 1.3× 63 1.9× 19 0.6× 9 526
Guodong Li China 13 187 0.7× 134 0.9× 282 1.9× 50 1.5× 53 1.6× 26 511
R B Herberman United States 6 303 1.1× 205 1.3× 147 1.0× 18 0.5× 19 0.6× 7 476
Aikaterini Emmanouilidi Australia 9 156 0.6× 146 0.9× 241 1.6× 27 0.8× 26 0.8× 13 449
Aizhi Zhao China 13 196 0.7× 196 1.2× 297 2.0× 50 1.5× 41 1.2× 23 633

Countries citing papers authored by Anna Morath

Since Specialization
Citations

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

Fields of papers citing papers by Anna Morath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Morath

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

All Works

10 of 10 papers shown
1.
Pathan-Chhatbar, Salma, Kirsten Richter, Anna Morath, et al.. (2021). Direct Regulation of the T Cell Antigen Receptor's Activity by Cholesterol. Frontiers in Cell and Developmental Biology. 8. 615996–615996. 22 indexed citations
2.
Hartl, Frederike A., Esmeralda Beck-Garcìa, Lea J. Flachsmann, et al.. (2020). Noncanonical binding of Lck to CD3ε promotes TCR signaling and CAR function. Nature Immunology. 21(8). 902–913. 84 indexed citations
3.
Hartl, Frederike A., Esmeralda Beck-Garcìa, Lea J. Flachsmann, et al.. (2020). Author Correction: Noncanonical binding of Lck to CD3ε promotes TCR signaling and CAR function. Nature Immunology. 22(1). 100–101. 2 indexed citations
4.
Zimmermann-Klemd, Amy Marisa, Jakob K. Reinhardt, Anna Morath, et al.. (2020). Immunosuppressive Activity of Artemisia argyi Extract and Isolated Compounds. Frontiers in Pharmacology. 11. 402–402. 33 indexed citations
5.
Morath, Anna & Wolfgang W. Schamel. (2020). αβ and γδ T cell receptors: Similar but different. Journal of Leukocyte Biology. 107(6). 1045–1055. 79 indexed citations
6.
Zimmermann-Klemd, Amy Marisa, Jakob K. Reinhardt, Anna Morath, et al.. (2020). Boswellia carteri extract and 3-O-acetyl-alpha-boswellic acid suppress T cell function. Fitoterapia. 146. 104694–104694. 20 indexed citations
7.
Palanisamy, Navaneethan, Anna Morath, Mehmet Ali Öztürk, et al.. (2019). Split intein-mediated selection of cells containing two plasmids using a single antibiotic. Nature Communications. 10(1). 4967–4967. 18 indexed citations
8.
Fiala, Gina J., Katja Merches, Anna Morath, et al.. (2019). Proximal Lck Promoter–Driven Cre Function Is Limited in Neonatal and Ineffective in Adult γδ T Cell Development. The Journal of Immunology. 203(2). 569–579. 16 indexed citations
9.
Morath, Anna, Frederike A. Hartl, Hans‐Heinrich Oberg, et al.. (2018). Anti-CD3 Fab Fragments Enhance Tumor Killing by Human γδ T Cells Independent of Nck Recruitment to the γδ T Cell Antigen Receptor. Frontiers in Immunology. 9. 1579–1579. 17 indexed citations
10.
Swamy, Mahima, Esmeralda Beck-Garcìa, Frederike A. Hartl, et al.. (2016). A Cholesterol-Based Allostery Model of T Cell Receptor Phosphorylation. Immunity. 44(5). 1091–1101. 172 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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