Marco Schmeer

1.2k total citations
34 papers, 908 citations indexed

About

Marco Schmeer is a scholar working on Molecular Biology, Genetics and Biotechnology. According to data from OpenAlex, Marco Schmeer has authored 34 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 18 papers in Genetics and 7 papers in Biotechnology. Recurrent topics in Marco Schmeer's work include RNA Interference and Gene Delivery (16 papers), Virus-based gene therapy research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Marco Schmeer is often cited by papers focused on RNA Interference and Gene Delivery (16 papers), Virus-based gene therapy research (13 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Marco Schmeer collaborates with scholars based in Germany, United States and Spain. Marco Schmeer's co-authors include Martin Schleef, Zoltán Ivics, Csaba Miskey, Razieh Monjezi, Michael Hudecek, Tea Gogishvili, Hermann Einsele, María Izco, Lydia Alvarez‐Erviti and Dennis Kobelt and has published in prestigious journals such as Science, PLoS ONE and Annals of the New York Academy of Sciences.

In The Last Decade

Marco Schmeer

32 papers receiving 875 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco Schmeer 662 338 269 151 102 34 908
Ken‐ichi Yano 911 1.4× 127 0.4× 224 0.8× 122 0.8× 96 0.9× 24 1.2k
Tatiana Flisikowska 536 0.8× 381 1.1× 144 0.5× 67 0.4× 50 0.5× 40 808
Zachary L. Demorest 1.1k 1.6× 198 0.6× 92 0.3× 48 0.3× 107 1.0× 18 1.5k
Walter H. Meisen 419 0.6× 306 0.9× 441 1.6× 60 0.4× 339 3.3× 19 996
Heike Lehrmann 942 1.4× 306 0.9× 174 0.6× 25 0.2× 90 0.9× 10 1.1k
Peter J. Kretschmer 692 1.0× 324 1.0× 136 0.5× 23 0.2× 72 0.7× 31 1.0k
Cay Egan 557 0.8× 553 1.6× 439 1.6× 17 0.1× 128 1.3× 14 978
Jeffrey Wojton 266 0.4× 292 0.9× 271 1.0× 26 0.2× 171 1.7× 12 609
Heon Seok Kim 1.7k 2.6× 471 1.4× 94 0.3× 55 0.4× 59 0.6× 24 1.9k
Sujing Yuan 351 0.5× 115 0.3× 189 0.7× 55 0.4× 196 1.9× 16 655

Countries citing papers authored by Marco Schmeer

Since Specialization
Citations

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

Fields of papers citing papers by Marco Schmeer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Schmeer

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

All Works

20 of 20 papers shown
1.
Izco, María, Carme Solà, Martin Schleef, et al.. (2025). Development of human targeted extracellular vesicles loaded with shRNA minicircles to prevent parkinsonian pathology. Translational Neurodegeneration. 14(1). 26–26.
2.
Schmeer, Marco, et al.. (2024). Producing Plasmid DNA Template for Clinical Grade RNA Vaccine Manufacture. Methods in molecular biology. 2786. 303–319.
3.
Izco, María, et al.. (2023). Targeted Extracellular Vesicle Gene Therapy for Modulating Alpha-Synuclein Expression in Gut and Spinal Cord. Pharmaceutics. 15(4). 1230–1230. 9 indexed citations
4.
Prommersberger, Sabrina, Razieh Monjezi, Marco Schmeer, et al.. (2022). Minicircles for CAR T Cell Production by Sleeping Beauty Transposition: A Technological Overview. Methods in molecular biology. 2521. 25–39. 3 indexed citations
5.
Schmeer, Marco, et al.. (2022). Capillary Gel Electrophoresis (CGE) for Quality Control of Plasmid DNA in Gene Therapy: Quality Control of 20 Years Stored GMP-Grade Plasmid DNA. Methods in molecular biology. 2521. 317–328. 3 indexed citations
6.
Schmeer, Marco, et al.. (2021). Correction to: Recombinant expression of Barnase in Escherichia coli and its application in plasmid purifcation. Microbial Cell Factories. 20(1). 190–190. 1 indexed citations
7.
Schmeer, Marco, et al.. (2021). Recombinant expression of Barnase in Escherichia coli and its application in plasmid purification. Microbial Cell Factories. 20(1). 171–171. 5 indexed citations
8.
Izco, María, Javier Blesa, Martin Schleef, et al.. (2019). Systemic Exosomal Delivery of shRNA Minicircles Prevents Parkinsonian Pathology. Molecular Therapy. 27(12). 2111–2122. 173 indexed citations
9.
Miskey, Csaba, Elena Almarza, Valentina Poletti, et al.. (2018). Efficient Non-viral Gene Delivery into Human Hematopoietic Stem Cells by Minicircle Sleeping Beauty Transposon Vectors. Molecular Therapy. 26(4). 1137–1153. 52 indexed citations
10.
Schmeer, Marco, et al.. (2017). Plasmid DNA Manufacturing for Indirect and Direct Clinical Applications. Human Gene Therapy. 28(10). 856–861. 40 indexed citations
11.
Monjezi, Razieh, Csaba Miskey, Tea Gogishvili, et al.. (2016). Enhanced CAR T-cell engineering using non-viral Sleeping Beauty transposition from minicircle vectors. Leukemia. 31(1). 186–194. 194 indexed citations
12.
Schmeer, Marco, et al.. (2016). Self-Complementary Adeno-Associated Virus Vectors Improve Transduction Efficiency of Corneal Endothelial Cells. PLoS ONE. 11(3). e0152589–e0152589. 13 indexed citations
13.
Hudecek, Michael, Tea Gogishvili, Razieh Monjezi, et al.. (2016). Minicircle-Based Engineering of Chimeric Antigen Receptor (CAR) T Cells. Recent results in cancer research. 209. 37–50. 17 indexed citations
14.
Schmeer, Marco & Martin Schleef. (2015). Production of Plasmid DNA as Pharmaceutical. Methods in molecular biology. 1317. 315–326. 2 indexed citations
15.
Schmeer, Marco & Martin Schleef. (2014). Pharmaceutical Grade Large-Scale Plasmid DNA Manufacturing Process. Methods in molecular biology. 1143. 219–240. 14 indexed citations
16.
Walther, Wolfgang, Marco Schmeer, Dennis Kobelt, et al.. (2013). A Seven-Year Storage Report of Good Manufacturing Practice–Grade Naked Plasmid DNA: Stability, Topology, and In Vitro/In Vivo Functional Analysis. PubMed. 24(4). 147–153. 15 indexed citations
17.
Chabot, Sophie, et al.. (2012). Minicircle DNA electrotransfer for efficient tissue-targeted gene delivery. Gene Therapy. 20(1). 62–68. 58 indexed citations
18.
Schleef, Martin & Marco Schmeer. (2011). Minicircle – Die nächste Generation nicht‐viraler Gentherapie‐Vektoren. Zirkuläre, superspiralisierte Expressionskassetten ersetzen Plasmid‐DNA. Pharmazie in unserer Zeit. 40(3). 220–224. 2 indexed citations
19.
Schleef, Martin, et al.. (2010). Production of Non Viral DNA Vectors. Current Gene Therapy. 10(6). 487–507. 22 indexed citations
20.
Schmeer, Marco. (2009). Electroporative Gene Transfer. Methods in molecular biology. 542. 156–164. 4 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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