Markus Machwirth

462 total citations
2 papers, 65 citations indexed

About

Markus Machwirth is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Markus Machwirth has authored 2 papers receiving a total of 65 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Genetics. Recurrent topics in Markus Machwirth's work include CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (1 paper) and Virus-based gene therapy research (1 paper). Markus Machwirth is often cited by papers focused on CAR-T cell therapy research (2 papers), Immunotherapy and Immune Responses (1 paper) and Virus-based gene therapy research (1 paper). Markus Machwirth collaborates with scholars based in Germany. Markus Machwirth's co-authors include Miriam Alb, Zoltán Ivics, Tobias Rausch, Hermann Einsele, Csaba Miskey, O. Barábas, Irma Querques, Andreas Mades, Michael Hudecek and Esther Grueso and has published in prestigious journals such as Nature Biotechnology.

In The Last Decade

Markus Machwirth

1 paper receiving 64 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Markus Machwirth Germany	1	46	36	27	11	11	2	65
Danielle Pinner United Kingdom	2	51 1.1×	52 1.4×	37 1.4×	11 1.0×	10 0.9×	3	84
Matthias Birtel Germany	4	39 0.8×	69 1.9×	26 1.0×	34 3.1×	17 1.5×	6	104
Manon Mulders Germany	3	33 0.7×	65 1.8×	16 0.6×	10 0.9×	31 2.8×	3	67
Katie Butler United Kingdom	3	50 1.1×	48 1.3×	35 1.3×	15 1.4×	10 0.9×	4	92
Patrick J. Quinn United States	2	41 0.9×	33 0.9×	7 0.3×	14 1.3×	9 0.8×	2	69
Netravathi Krishnappa United States	2	79 1.7×	23 0.6×	23 0.9×	9 0.8×	7 0.6×	3	90
Ankita Shree India	4	22 0.5×	38 1.1×	14 0.5×	6 0.5×	18 1.6×	8	84
Neil Humphryes-Kirilov United Kingdom	3	96 2.1×	108 3.0×	40 1.5×	35 3.2×	31 2.8×	4	148
Mackenzie Fuller United States	3	36 0.8×	17 0.5×	16 0.6×	10 0.9×	3 0.3×	4	66
Andrew Lu United States	5	94 2.0×	10 0.3×	16 0.6×	5 0.5×	15 1.4×	5	108

Countries citing papers authored by Markus Machwirth

Since Specialization

Citations

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

Fields of papers citing papers by Markus Machwirth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Machwirth

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

All Works

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2 of 2 papers shown

1.

Mestermann, Katrin, Markus Machwirth, Ulrike Köhl, et al.. (2020). P09.08 Clinical-grade manufacturing of ROR1 CAR T cells using a novel virus-free protocol. A55.2–A56.

2.

Querques, Irma, Andreas Mades, Cecilia Zuliani, et al.. (2019). A highly soluble Sleeping Beauty transposase improves control of gene insertion. Nature Biotechnology. 37(12). 1502–1512. 65 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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