Martin Schiestl
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Molecular Biology
- Economics and Econometrics top 10%
- Pediatrics, Perinatology and Child Health
- Co-authors
- Thomas StanglerCornelius FritschIsabel FeuersteinTimo SchmiedererFritz SörgelAndriy KrendyukovWilliam C. LamannaAndreas Seidl
- Topics
- Biosimilars and Bioanalytical Methods (19 papers)Protein purification and stability (7 papers)Monoclonal and Polyclonal Antibodies Research (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsTrends in Pharmacological Sciences
- Partner nations
- AustriaSwitzerlandGermany
In The Last Decade
Martin Schiestl
19 papers receiving 442 citations
Peers
Comparison fields: 5 of 59
- Immunology 353
- Radiology, Nuclear Medicine and Imaging 161
- Molecular Biology 159
- Economics and Econometrics 109
- Pediatrics, Perinatology and Child Health 90
Countries citing papers authored by Martin Schiestl
This map shows the geographic impact of Martin Schiestl'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 Schiestl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schiestl more than expected).
Fields of papers citing papers by Martin Schiestl
This network shows the impact of papers produced by Martin Schiestl. 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 Schiestl. The network helps show where Martin Schiestl may publish in the future.
Co-authorship network of co-authors of Martin Schiestl
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schiestl. A scholar is included among the top collaborators of Martin Schiestl 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 Schiestl. Martin Schiestl is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 41 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 23 | |
| 7 | 3 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 27 | |
| 11 | 62 | |
| 12 | 21 | |
| 13 | 4 | |
| 14 | 44 | |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 148 | |
| 18 | 19 | |
| 19 | 8 |
About Martin Schiestl
Martin Schiestl is a scholar working on Immunology, Statistics and Probability and Radiology, Nuclear Medicine and Imaging, having authored 19 papers that have together received 472 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (19 papers), Protein purification and stability (7 papers) and Monoclonal and Polyclonal Antibodies Research (6 papers). The work is most often cited by research in Immunology (353 citations), Radiology, Nuclear Medicine and Imaging (161 citations) and Statistics and Probability (39 citations). Martin Schiestl has collaborated with scholars based in Austria, Switzerland and Germany. Frequent co-authors include Thomas Stangler, Cornelius Fritsch, Isabel Feuerstein, Timo Schmiederer, Fritz Sörgel, Andriy Krendyukov, William C. Lamanna, Andreas Seidl, Johann Holzmann and Hillel P. Cohen. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Trends in Pharmacological Sciences.
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.