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, Lydia Alvarez‐Erviti, Wolfgang Walther and María Izco 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

Peers

Marco Schmeer
Comparison fields: 5 of 80
  • Molecular Biology 662
  • Genetics 338
  • Oncology 269
  • Biomedical Engineering 151
  • Immunology 102
Replace Ken‐ichi Yano with:
Ken‐ichi Yano Japan
Tatiana Flisikowska Germany
Zachary L. Demorest United States
Walter H. Meisen United States
Heike Lehrmann Austria
Cay Egan Canada
Jeffrey Wojton United States
Peter J. Kretschmer United States
Heon Seok Kim South Korea
Sujing Yuan China
Ken‐ichi Yano Japan View profile →
Citations per field, relative to Marco Schmeer
Marco Schmeer · 1×
Citations per year, relative to Marco Schmeer
Marco Schmeer · 1×

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
# Work Indexed citations
1 0
2 0
3 9
4 3
5 5
6 173
7 40
8 19
9 13
10 30
11 194
12 17
13 2
14 14
15 15
16 58
17 46
18 2
19 22
20 4

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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