Julia Maier
Impact in
- Structural Biology top 10%
- Biophysics top 5%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- RNA Interference and Gene Delivery 3
- Advanced Biosensing Techniques and Applications 3
-
- Monoclonal and Polyclonal Antibodies Research 7
- Co-authors
- Ulrich Rothbauer (12 shared papers)Bjoern Traenkle (8 shared papers)Philipp D. Kaiser (3 shared papers)Christian Schmees (2 shared papers)Dorit Fabricius (3 shared papers)Bernd Jahrsdörfer (2 shared papers)Thomas Simmet (2 shared papers)Thamara Beyer (3 shared papers)
- Journals
- Molecular & Cellular Proteomics (2 papers)Cancers (2 papers)Journal of Tissue Engineering and Regenerative Medicine (2 papers)Cytotherapy (2 papers)Development (2 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Julia Maier
34 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 99
- Structural Biology 27
- Biophysics 87
- Immunology 264
- Radiology, Nuclear Medicine and Imaging 265
- Molecular Biology 560
Countries citing papers authored by Julia Maier
This map shows the geographic impact of Julia Maier'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 Julia Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Maier more than expected).
Fields of papers citing papers by Julia Maier
This network shows the impact of papers produced by Julia Maier. 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 Julia Maier. The network helps show where Julia Maier may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia Maier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 139 | |
| 2 | 2018 | 118 | |
| 3 | 2009 | 98 | |
| 4 | 2015 | 67 | |
| 5 | 2014 | 65 | |
| 6 | 2015 | 65 | |
| 7 | 2015 | 62 | |
| 8 | 2017 | 43 | |
| 9 | 2014 | 43 | |
| 10 | 2017 | 41 | |
| 11 | 2010 | 38 | |
| 12 | 2018 | 25 | |
| 13 | 2018 | 23 | |
| 14 | 2016 | 23 | |
| 15 | 2017 | 22 | |
| 16 | 2019 | 19 | |
| 17 | 2020 | 17 | |
| 18 | 2019 | 17 | |
| 19 | 2016 | 16 | |
| 20 | 2013 | 16 |
About Julia Maier
Julia Maier is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Genetics and Surgery, having authored 37 papers that have together received 1.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Mesenchymal stem cell research (3 papers), T-cell and B-cell Immunology (3 papers), Immunotherapy and Immune Responses (3 papers), RNA Interference and Gene Delivery (3 papers), Advanced Biosensing Techniques and Applications (3 papers), CAR-T cell therapy research (3 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Structural Biology (27 citations), Biophysics (87 citations), Immunology (264 citations), Radiology, Nuclear Medicine and Imaging (265 citations) and Molecular Biology (560 citations). Julia Maier has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Ulrich Rothbauer, Bjoern Traenkle, Philipp D. Kaiser, Christian Schmees, Dorit Fabricius, Bernd Jahrsdörfer, Thomas Simmet, Thamara Beyer, Kai Sontheimer and Felix Emele Emele. Their work appears in journals such as Molecular & Cellular Proteomics, Cancers, Journal of Tissue Engineering and Regenerative Medicine, Cytotherapy and Development.
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.