Martin E. Wohlfahrt

1.5k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Martin E. Wohlfahrt is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Martin E. Wohlfahrt has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Oncology. Recurrent topics in Martin E. Wohlfahrt's work include Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (5 papers) and CAR-T cell therapy research (5 papers). Martin E. Wohlfahrt is often cited by papers focused on Virus-based gene therapy research (9 papers), CRISPR and Genetic Engineering (5 papers) and CAR-T cell therapy research (5 papers). Martin E. Wohlfahrt collaborates with scholars based in United States, Germany and Austria. Martin E. Wohlfahrt's co-authors include Weihang Ji, Smitha P.S. Pillai, Matthias T. Stephan, Laura E. McKnight, Howell Moffett, Sirkka B. Stephan, Hans‐Peter Kiem, Jennifer E. Adair, Brian C. Beard and Keith Andrews and has published in prestigious journals such as Nature Communications, Blood and Nature Nanotechnology.

In The Last Decade

Martin E. Wohlfahrt

16 papers receiving 1.1k citations

Hit Papers

In situ programming of leukaemia-specific T cells using s... 2017 2026 2020 2023 2017 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. In situ programming of leukaemia-specific T cells using synthetic DNA nanocarriers
    2017 593 citations Sirkka B. Stephan, Howell Moffett et al. Nature Nanotechnology profile →

Peers

Martin E. Wohlfahrt
Vincent Alcazer France
Dong‐Ku Kim South Korea
Mostafa Jarahian Germany
Eric E. Gardner United States
Xiang Xiao United States
Ayman El‐Sayed Canada
Farlan Veraitch United Kingdom
Dimitra Pouli United States
Martin Kreutz Germany
Weiwen Yang China
Vincent Alcazer France
Martin E. Wohlfahrt
Citations per year, relative to Martin E. Wohlfahrt Martin E. Wohlfahrt (= 1×) peers Vincent Alcazer

Countries citing papers authored by Martin E. Wohlfahrt

Since Specialization
Citations

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

Fields of papers citing papers by Martin E. Wohlfahrt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin E. Wohlfahrt. 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 Martin E. Wohlfahrt. The network helps show where Martin E. Wohlfahrt may publish in the future.

Co-authorship network of co-authors of Martin E. Wohlfahrt

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

All Works

16 of 16 papers shown
1.
Sheih, Alyssa, Valentin Voillet, Laïla‐Aïcha Hanafi, et al.. (2020). Clonal kinetics and single-cell transcriptional profiling of CAR-T cells in patients undergoing CD19 CAR-T immunotherapy. Nature Communications. 11(1). 219–219. 177 indexed citations
2.
Rajawat, Yogendra Singh, Olivier Humbert, Savannah Cook, et al.. (2020). In Vivo Gene Therapy for Canine SCID-X1 Using Cocal-Pseudotyped Lentiviral Vector. Human Gene Therapy. 32(1-2). 113–127. 6 indexed citations
3.
Toran, Paul, et al.. (2020). Assessment and streamlined preparation of low-cytotoxicity lentiviral vectors for mobilized human hematopoietic stem cell transduction. Experimental Hematology. 86. 28–42.e3. 2 indexed citations
4.
Peterson, Christopher W., Jennifer E. Adair, Martin E. Wohlfahrt, et al.. (2019). Autologous, Gene-Modified Hematopoietic Stem and Progenitor Cells Repopulate the Central Nervous System with Distinct Clonal Variants. Stem Cell Reports. 13(1). 91–104. 9 indexed citations
5.
Stephan, Sirkka B., Howell Moffett, Laura E. McKnight, et al.. (2017). In situ programming of leukaemia-specific T cells using synthetic DNA nanocarriers. Nature Nanotechnology. 12(8). 813–820. 593 indexed citations breakdown →
6.
Humbert, Olivier, et al.. (2016). Development of Third-generation Cocal Envelope Producer Cell Lines for Robust Lentiviral Gene Transfer into Hematopoietic Stem Cells and T-cells. Molecular Therapy. 24(7). 1237–1246. 28 indexed citations
7.
Burtner, Christopher R., Brian C. Beard, Martin E. Wohlfahrt, et al.. (2014). Intravenous injection of a foamy virus vector to correct canine SCID-X1. Blood. 123(23). 3578–3584. 34 indexed citations
8.
Adair, Jennifer E., Xin Zhao, Sylvia Chien, et al.. (2012). Cyclophosphamide promotes engraftment of gene-modified cells in a mouse model of Fanconi anemia without causing cytogenetic abnormalities. Journal of Molecular Medicine. 90(11). 1283–1294. 5 indexed citations
9.
Watts, Korashon L., et al.. (2011). Safeguarding Nonhuman Primate iPS Cells With Suicide Genes. Molecular Therapy. 19(9). 1667–1675. 43 indexed citations
10.
Trobridge, Grant D., Xiao‐Bing Zhang, Korashon L. Watts, et al.. (2010). Efficient Generation of Nonhuman Primate Induced Pluripotent Stem Cells. Stem Cells and Development. 20(5). 795–807. 23 indexed citations
11.
Andrews, Keith, et al.. (2009). Visual Graph Comparison. 62–67. 54 indexed citations
12.
Bönig, Halvard, Gregory V. Priestley, Martin E. Wohlfahrt, Hans‐Peter Kiem, & Thalia Papayannopoulou. (2008). Blockade of α6-Integrin Reveals Diversity in Homing Patterns Among Human, Baboon, and Murine Cells. Stem Cells and Development. 18(6). 839–844. 9 indexed citations
13.
Cao, Hua, et al.. (2008). Tightly regulated gene expression in human hematopoietic stem cells after transduction with helper-dependent Ad5/35 vectors. Experimental Hematology. 36(7). 823–831. 13 indexed citations
14.
Trobridge, Grant D., Brian C. Beard, Martin E. Wohlfahrt, et al.. (2008). Efficient transduction of pigtailed macaque hematopoietic repopulating cells with HIV-based lentiviral vectors. Blood. 111(12). 5537–5543. 57 indexed citations
15.
Wohlfahrt, Martin E., Brian C. Beard, André Lieber, & Hans‐Peter Kiem. (2007). A Capsid-Modified, Conditionally Replicating Oncolytic Adenovirus Vector Expressing TRAIL Leads to Enhanced Cancer Cell Killing in Human Glioblastoma Models. Cancer Research. 67(18). 8783–8790. 55 indexed citations
16.
Strive, Tanja, Martin E. Wohlfahrt, Larissa Kolesnikova, et al.. (2004). Site directed mutagenesis of the carboxyl terminus of human cytomegalovirus glycoprotein B leads to attenuation of viral growth in cell culture. Archives of Virology. 150(3). 585–593. 2 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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