Frauke M. Schnorfeil

751 total citations
9 papers, 556 citations indexed

About

Frauke M. Schnorfeil is a scholar working on Immunology, Oncology and Hematology. According to data from OpenAlex, Frauke M. Schnorfeil has authored 9 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Oncology and 3 papers in Hematology. Recurrent topics in Frauke M. Schnorfeil's work include CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (5 papers). Frauke M. Schnorfeil is often cited by papers focused on CAR-T cell therapy research (7 papers), Immune Cell Function and Interaction (5 papers) and Immunotherapy and Immune Responses (5 papers). Frauke M. Schnorfeil collaborates with scholars based in Germany, United States and Norway. Frauke M. Schnorfeil's co-authors include Marion Subklewe, Felix S. Lichtenegger, Christina Krupka, Christian Augsberger, Wolfgang Hiddemann, Rika Draenert, Katrin Deiser, Wolfgang Hiddemann, Tobias Herold and Paul Kerbs and has published in prestigious journals such as Blood, Frontiers in Immunology and Leukemia.

In The Last Decade

Frauke M. Schnorfeil

9 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frauke M. Schnorfeil Germany 7 371 282 202 164 64 9 556
Sascha Haubner Germany 9 393 1.1× 263 0.9× 197 1.0× 207 1.3× 97 1.5× 16 614
Christian Augsberger Germany 5 282 0.8× 197 0.7× 133 0.7× 180 1.1× 58 0.9× 9 484
Chelsea J. Gudgeon United States 11 308 0.8× 177 0.6× 206 1.0× 220 1.3× 29 0.5× 16 532
Elizabeth Taras United States 11 269 0.7× 338 1.2× 135 0.7× 132 0.8× 27 0.4× 15 539
Dmitry Pankov United States 11 464 1.3× 344 1.2× 59 0.3× 183 1.1× 73 1.1× 17 620
Erik Ames United States 15 488 1.3× 740 2.6× 160 0.8× 178 1.1× 38 0.6× 26 965
Eva Gaarsdal Denmark 13 252 0.7× 280 1.0× 220 1.1× 126 0.8× 52 0.8× 19 514
Nesrine Lajmi Germany 10 193 0.5× 268 1.0× 192 1.0× 183 1.1× 25 0.4× 14 472
William B. Donnellan United States 13 207 0.6× 183 0.6× 398 2.0× 262 1.6× 36 0.6× 47 620
Dirk Hönemann Australia 9 314 0.8× 227 0.8× 121 0.6× 202 1.2× 112 1.8× 13 511

Countries citing papers authored by Frauke M. Schnorfeil

Since Specialization
Citations

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

Fields of papers citing papers by Frauke M. Schnorfeil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frauke M. Schnorfeil. 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 Frauke M. Schnorfeil. The network helps show where Frauke M. Schnorfeil may publish in the future.

Co-authorship network of co-authors of Frauke M. Schnorfeil

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

All Works

9 of 9 papers shown
1.
Fløisand, Yngvar, Mats Remberger, Iris Bigalke, et al.. (2023). WT1 and PRAME RNA-loaded dendritic cell vaccine as maintenance therapy in de novo AML after intensive induction chemotherapy. Leukemia. 37(9). 1842–1849. 16 indexed citations
2.
Lichtenegger, Felix S., Frauke M. Schnorfeil, Katrin Deiser, et al.. (2018). Targeting LAG-3 and PD-1 to Enhance T Cell Activation by Antigen-Presenting Cells. Frontiers in Immunology. 9. 385–385. 139 indexed citations
3.
Haubner, Sascha, Fabiana Perna, Thomas Köhnke, et al.. (2018). Coexpression profile of leukemic stem cell markers for combinatorial targeted therapy in AML. Leukemia. 33(1). 64–74. 240 indexed citations
4.
Lichtenegger, Felix S., Katrin Deiser, Frauke M. Schnorfeil, et al.. (2016). Induction of Antigen-Specific T-Cell Responses through Dendritic Cell Vaccination in AML: Results of a Phase I/II Trial and Ex Vivo Enhancement By Checkpoint Blockade. Blood. 128(22). 764–764. 8 indexed citations
5.
Deiser, Katrin, Christina Krupka, Frauke M. Schnorfeil, et al.. (2016). Induction of antigen-specific T-cell responses through dendritic cell vaccination in AML: results of a phase I/II trial and ex vivo enhancement by checkpoint blockade. Site cant be reached. 1 indexed citations
6.
7.
Krupka, Christina, Peter Kufer, Roman Kischel, et al.. (2014). PD-1/PD-L1 Blocking Enhances CD33/CD3-Bispecific BiTE® Antibody (AMG 330) Mediated Lysis of Primary AML Cells. Blood. 124(21). 3738–3738. 5 indexed citations
8.
Lichtenegger, Felix S., Frauke M. Schnorfeil, Barbara Beck, et al.. (2013). Pseudo-Exhaustion Of CD8+ T Cells in AML. Blood. 122(21). 2615–2615. 7 indexed citations
9.
Lichtenegger, Felix S., Frauke M. Schnorfeil, Wolfgang Hiddemann, & Marion Subklewe. (2012). Current Strategies in Immunotherapy for Acute Myeloid Leukemia. Immunotherapy. 5(1). 63–78. 18 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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