Elke Grassman

1.1k total citations
17 papers, 751 citations indexed

About

Elke Grassman is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Elke Grassman has authored 17 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Genetics and 3 papers in Oncology. Recurrent topics in Elke Grassman's work include Virus-based gene therapy research (11 papers), CRISPR and Genetic Engineering (7 papers) and RNA Interference and Gene Delivery (5 papers). Elke Grassman is often cited by papers focused on Virus-based gene therapy research (11 papers), CRISPR and Genetic Engineering (7 papers) and RNA Interference and Gene Delivery (5 papers). Elke Grassman collaborates with scholars based in United States, Germany and United Kingdom. Elke Grassman's co-authors include Axel Schambach, Christopher Baum, Daniela Zychlinski, Anjali Mishra, Tobias Maetzig, Johann Meyer, Ute Modlich, David A. Williams, Kebola Wahengbam and Thiyam Ramsing Singh and has published in prestigious journals such as Blood, Annals of the New York Academy of Sciences and The American Journal of Human Genetics.

In The Last Decade

Elke Grassman

16 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Elke Grassman United States	9	642	377	198	56	48	17	751
Ermira Samara-Kuko Belgium	10	868 1.4×	502 1.3×	198 1.0×	42 0.8×	30 0.6×	13	1.1k
Edyta Tyminski United States	9	448 0.7×	377 1.0×	185 0.9×	38 0.7×	44 0.9×	10	708
Lin Ye United States	6	804 1.3×	297 0.8×	206 1.0×	74 1.3×	101 2.1×	8	912
Emma Haapaniemi Finland	4	829 1.3×	260 0.7×	146 0.7×	34 0.6×	32 0.7×	6	934
Joel L. Frandsen United States	10	517 0.8×	366 1.0×	99 0.5×	28 0.5×	29 0.6×	13	659
Sandeep K. Botla Germany	5	912 1.4×	258 0.7×	176 0.9×	95 1.7×	32 0.7×	5	1.0k
Niels‐Bjarne Woods Sweden	13	434 0.7×	264 0.7×	87 0.4×	28 0.5×	47 1.0×	17	535
Stefan Michelfelder Germany	14	562 0.9×	444 1.2×	87 0.4×	51 0.9×	23 0.5×	21	828
Stephanie C. Wright United Kingdom	17	813 1.3×	259 0.7×	86 0.4×	49 0.9×	115 2.4×	28	971
Alexandra M Pietersen Netherlands	13	754 1.2×	224 0.6×	271 1.4×	150 2.7×	34 0.7×	19	978

Countries citing papers authored by Elke Grassman

Since Specialization

Citations

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

Fields of papers citing papers by Elke Grassman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elke Grassman

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

All Works

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17 of 17 papers shown

Urbinati, Fabrizia, Sabine Geiger, Beatriz Campo Fernandez, et al.. (2017). Preclinical studies for a phase 1 clinical trial of autologous hematopoietic stem cell gene therapy for sickle cell disease. Cytotherapy. 19(9). 1096–1112. 16 indexed citations

Loo, Johannes C.M. van der, William Swaney, Elke Grassman, et al.. (2012). Critical Variables affecting clinical-grade production of the self-inactivating gamma-retroviral vector for the treatment of X-linked severe combined immunodeficiency. Gene Therapy. 19(8). 872–876. 8 indexed citations

Ali, Abdullah Mahmood, Arun Pradhan, Thiyam Ramsing Singh, et al.. (2012). FAAP20: a novel ubiquitin-binding FA nuclear core-complex protein required for functional integrity of the FA-BRCA DNA repair pathway. Blood. 119(14). 3285–3294. 72 indexed citations

Milsom, Michael D., Chad E. Harris, Kristina Brumme, et al.. (2012). Overcoming reprogramming resistance of Fanconi anemia cells. Blood. 119(23). 5449–5457. 110 indexed citations

McKenna, David H., Darin Sumstad, John D. McMannis, et al.. (2011). Interlaboratory assessment of a novel colony‐forming unit assay: a multicenter study by the cellular team of Biomedical Excellence for Safer Transfusion (BEST) collaborative. Transfusion. 51(9). 2001–2005. 6 indexed citations

Loo, Johannes C.M. van der, William Swaney, Elke Grassman, et al.. (2011). Scale-up and manufacturing of clinical-grade self-inactivating γ-retroviral vectors by transient transfection. Gene Therapy. 19(3). 246–254. 30 indexed citations

Müeller, Lars, Michael D. Milsom, Chad E. Harris, et al.. (2011). Gene-Correction Rescues Reprogramming of Fanconi Anemia Fibroblasts and Enables Hematopoietic Differentiation of FA Induced Pluripotent Stem Cells in Vitro and In Vivo. Blood. 118(21). 672–672. 1 indexed citations

Modlich, Ute, Daniela Zychlinski, Johann Meyer, et al.. (2011). Use of the in Vitro Immortalization Assay to Quantify the Impact of Integration Spectrum and Vector Design on Insertional Mutagenesis. Blood. 118(21). 3123–3123. 2 indexed citations

Hartmann, Linda, Kornelia Neveling, Marcel Freund, et al.. (2010). Correct mRNA Processing at a Mutant TT Splice Donor in FANCC Ameliorates the Clinical Phenotype in Patients and Is Enhanced by Delivery of Suppressor U1 snRNAs. The American Journal of Human Genetics. 87(4). 480–493. 51 indexed citations

10.

Grassman, Elke, et al.. (2009). Database Setup for Preclinical Studies of Gene-Modified Hematopoiesis. Methods in molecular biology. 506. 467–476. 1 indexed citations

11.

Reeves, Lilith, et al.. (2009). Copy Number Determination of Genetically-Modified Hematopoietic Stem Cells. Methods in molecular biology. 506. 281–298. 5 indexed citations

12.

Singh, Thiyam Ramsing, Sietske T. Bakker, Sheba Agarwal, et al.. (2009). Impaired FANCD2 monoubiquitination and hypersensitivity to camptothecin uniquely characterize Fanconi anemia complementation group M. Blood. 114(1). 174–180. 100 indexed citations

13.

Zychlinski, Daniela, Axel Schambach, Ute Modlich, et al.. (2008). Physiological Promoters Reduce the Genotoxic Risk of Integrating Gene Vectors. Molecular Therapy. 16(4). 718–725. 215 indexed citations

14.

Thornhill, Susannah I., Axel Schambach, Steven J. Howe, et al.. (2008). Self-inactivating Gammaretroviral Vectors for Gene Therapy of X-linked Severe Combined Immunodeficiency. Molecular Therapy. 16(3). 590–598. 110 indexed citations

15.

Grassman, Elke, et al.. (2008). Pulmozyme® Treatment of Vectors Produced by Transient Transfection Reduces Residual Plasmid DNA on Human CD34+ Hematopoietic Progenitor Cells without Loss of Transduction or Engraftment Efficiency. Blood. 112(11). 4626–4626. 1 indexed citations

16.

Zychlinski, Daniela, Axel Schambach, Ute Modlich, et al.. (2008). Physiological Promoters Reduce the Genotoxic Risk of Integrating Gene Vectors. Molecular Therapy. 7 indexed citations

17.

Li, Zhixiong, Olga Kustikova, Kenji Kamino, et al.. (2007). Insertional Mutagenesis by Replication‐Deficient Retroviral Vectors Encoding the Large T Oncogene. Annals of the New York Academy of Sciences. 1106(1). 95–113. 16 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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