Torsten Hechler
Impact in
Papers in
-
- Glycosylation and Glycoproteins Research 10
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- Monoclonal and Polyclonal Antibodies Research 17
- Radiopharmaceutical Chemistry and Applications 5
- Co-authors
- Andreas Pahl (25 shared papers)Christian Lutz (10 shared papers)Michael Kulke (21 shared papers)Martin Löchelt (6 shared papers)Jan Anderl (3 shared papers)Christoph Müller (12 shared papers)Heinz Faulstich (1 shared paper)Felicitas Pfeifer (2 shared papers)
- Journals
- Cancer Research (16 papers)Molecular Cancer Therapeutics (2 papers)Veterinary Immunology and Immunopathology (2 papers)Viruses (2 papers)Journal of Virology (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Torsten Hechler
36 papers receiving 557 citations
Peers
Comparison fields: 5 of 64
- Virology 54
- Oncology 242
- Radiology, Nuclear Medicine and Imaging 178
- Hematology 67
- Agronomy and Crop Science 49
Countries citing papers authored by Torsten Hechler
This map shows the geographic impact of Torsten Hechler'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 Torsten Hechler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Torsten Hechler more than expected).
Fields of papers citing papers by Torsten Hechler
This network shows the impact of papers produced by Torsten Hechler. 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 Torsten Hechler. The network helps show where Torsten Hechler may publish in the future.
Co-authors
The 25 scholars most cited alongside Torsten Hechler, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 83 | |
| 2 | 2020 | 61 | |
| 3 | 2013 | 58 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 30 | |
| 6 | 2018 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2008 | 24 | |
| 9 | 2011 | 22 | |
| 10 | 2013 | 22 | |
| 11 | 2021 | 20 | |
| 12 | 2012 | 19 | |
| 13 | 2009 | 17 | |
| 14 | 2019 | 13 | |
| 15 | 2015 | 12 | |
| 16 | 2013 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2017 | 11 | |
| 19 | 2018 | 11 | |
| 20 | 2014 | 11 |
About Torsten Hechler
Torsten Hechler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Pulmonary and Respiratory Medicine and Oncology, having authored 40 papers that have together received 573 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Glycosylation and Glycoproteins Research (10 papers), Toxin Mechanisms and Immunotoxins (9 papers), Silymarin and Mushroom Poisoning (9 papers), Virus-based gene therapy research (5 papers), Radiopharmaceutical Chemistry and Applications (5 papers), Flavonoids in Medical Research (5 papers) and HER2/EGFR in Cancer Research (4 papers). The work is most often cited by research in Virology (54 citations), Oncology (242 citations), Radiology, Nuclear Medicine and Imaging (178 citations), Hematology (67 citations) and Agronomy and Crop Science (49 citations). Torsten Hechler has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Andreas Pahl, Christian Lutz, Michael Kulke, Martin Löchelt, Jan Anderl, Christoph Müller, Heinz Faulstich, Felicitas Pfeifer, Jacek Kuźmak and Magdalena Materniak-Kornas. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Veterinary Immunology and Immunopathology, Viruses and Journal of Virology.
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.