Stefanie Raab

455 total citations
8 papers, 289 citations indexed

About

Stefanie Raab is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Stefanie Raab has authored 8 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Stefanie Raab's work include Immune Cell Function and Interaction (5 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Stefanie Raab is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Pluripotent Stem Cells Research (3 papers) and CRISPR and Genetic Engineering (3 papers). Stefanie Raab collaborates with scholars based in Germany, Switzerland and United Kingdom. Stefanie Raab's co-authors include Leonhard Linta, Moritz Klingenstein, Stefan Liebau, Helmut R. Salih, Benjamin Joachim Schmiedel, Brett T. Spear, Deborah Wilson, Jacki Kornbluth, Alexander Steinle and Philaretos C. Kousis and has published in prestigious journals such as Blood, The Journal of Immunology and Scientific Reports.

In The Last Decade

Stefanie Raab

8 papers receiving 284 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefanie Raab Germany	6	177	77	50	49	41	8	289
Naoko Takasu Japan	8	259 1.5×	69 0.9×	52 1.0×	114 2.3×	48 1.2×	12	378
Methichit Wattanapanitch Thailand	12	283 1.6×	33 0.4×	57 1.1×	85 1.7×	43 1.0×	35	400
Camille Huser United Kingdom	9	185 1.0×	36 0.5×	67 1.3×	51 1.0×	22 0.5×	15	353
Rhoda M. McDouall United Kingdom	7	185 1.0×	111 1.4×	58 1.2×	23 0.5×	13 0.3×	9	345
Yarúa Jaimes Germany	8	213 1.2×	146 1.9×	26 0.5×	35 0.7×	31 0.8×	13	417
Brian Fury United States	7	202 1.1×	46 0.6×	32 0.6×	39 0.8×	17 0.4×	15	269
Jennifer Pham United States	9	259 1.5×	26 0.3×	33 0.7×	59 1.2×	16 0.4×	17	345
Chen‐Yi Lai Japan	8	151 0.9×	135 1.8×	30 0.6×	97 2.0×	69 1.7×	11	385
Sunhee Hwang United States	8	117 0.7×	103 1.3×	92 1.8×	86 1.8×	37 0.9×	10	409
Kaori Motomura Japan	7	296 1.7×	24 0.3×	38 0.8×	40 0.8×	33 0.8×	8	388

Countries citing papers authored by Stefanie Raab

Since Specialization

Citations

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

Fields of papers citing papers by Stefanie Raab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefanie Raab

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

All Works

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8 of 8 papers shown

Raab, Stefanie, Moritz Klingenstein, Anna Möller, et al.. (2017). Reprogramming to pluripotency does not require transition through a primitive streak-like state. Scientific Reports. 7(1). 16543–16543. 8 indexed citations

Schmiedel, Benjamin Joachim, Andreas Maurer, Stefanie Raab, et al.. (2015). Neutralization of (NK-cell-derived) B-cell activating factor by Belimumab restores sensitivity of chronic lymphoid leukemia cells to direct and Rituximab-induced NK lysis. Leukemia. 29(8). 1676–1683. 31 indexed citations

Klingenstein, Moritz, Stefanie Raab, Kevin Achberger, et al.. (2015). TBX3 Knockdown Decreases Reprogramming Efficiency of Human Cells. Stem Cells International. 2016(1). 6759343–6759343. 8 indexed citations

Raab, Stefanie, Julia Steinbacher, Benjamin Joachim Schmiedel, et al.. (2014). Fc-Optimized NKG2D–Fc Constructs Induce NK Cell Antibody-Dependent Cellular Cytotoxicity against Breast Cancer Cells Independently of HER2/neu Expression Status. The Journal of Immunology. 193(8). 4261–4272. 30 indexed citations

Raab, Stefanie, Alexander Steinle, Gerd Klein, et al.. (2014). Platelet-Derived Proteases ADAM10 and ADAM17 Impair NK Cell Immunosurveillance of Metastasizing Tumor Cells By Diminishing NKG2D Ligand Surface Expression. Blood. 124(21). 4164–4164. 2 indexed citations

Raab, Stefanie, Moritz Klingenstein, Stefan Liebau, & Leonhard Linta. (2014). A Comparative View on Human Somatic Cell Sources for iPSC Generation. Stem Cells International. 2014. 1–12. 185 indexed citations

Raab, Stefanie, et al.. (2013). Platelets Impair NK Cell Immunosurveillance Of Metastasizing Tumor Cells By Altering Surface Expression and Shedding Of Ligands For The Activating Immunoreceptor NKG2D. Blood. 122(21). 3488–3488. 3 indexed citations

Kornbluth, Jacki, Brett T. Spear, Stefanie Raab, & Deborah Wilson. (1985). Evidence for the role of class I and class II HLA antigens in the lytic function of a cloned line of human natural killer cells.. The Journal of Immunology. 134(2). 728–735. 22 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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