Thomas Urbig
Impact in
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- Monoclonal and Polyclonal Antibodies Research
- Oncology top 10%
- CAR-T cell therapy research
Papers in
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- Photosynthetic Processes and Mechanisms 5
- Viral Infectious Diseases and Gene Expression in Insects 2
- Machine Learning in Bioinformatics 1
- Protein purification and stability 1
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- Algal biology and biofuel production 6
- Co-authors
- David Drew (1 shared paper)Gunnar von Heijne (1 shared paper)Johan Nilsson (1 shared paper)Chen‐Ni Chin (1 shared paper)Jan‐Willem De Gier (1 shared paper)Dan Sjöstrand (1 shared paper)Patrick A. Baeuerle (3 shared papers)Peter Kufer (2 shared papers)
- Journals
- Physiologia Plantarum (2 papers)Proceedings of the National Academy of Sciences (2 papers)FEBS Letters (1 paper)Journal of Chromatography B (1 paper)Molecular Immunology (1 paper)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Thomas Urbig
13 papers receiving 633 citations
Peers
Comparison fields: 5 of 82
- Radiology, Nuclear Medicine and Imaging 238
- Oncology 279
- Immunology 169
- Molecular Biology 366
- Biotechnology 39
Countries citing papers authored by Thomas Urbig
This map shows the geographic impact of Thomas Urbig'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 Thomas Urbig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Urbig more than expected).
Fields of papers citing papers by Thomas Urbig
This network shows the impact of papers produced by Thomas Urbig. 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 Thomas Urbig. The network helps show where Thomas Urbig may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas Urbig, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 212 | |
| 2 | 2002 | 165 | |
| 3 | 2010 | 123 | |
| 4 | 1998 | 41 | |
| 5 | 1993 | 29 | |
| 6 | 2002 | 28 | |
| 7 | 2022 | 23 | |
| 8 | 1995 | 21 | |
| 9 | 1993 | 10 | |
| 10 | 1995 | 7 | |
| 11 | 2012 | 6 | |
| 12 | 1995 | 6 | |
| 13 | 1995 | 2 |
About Thomas Urbig
Thomas Urbig is a scholar working on Molecular Biology, Renewable Energy, Sustainability and the Environment, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 13 papers that have together received 673 indexed citations. Recurring topics across this work include Algal biology and biofuel production (6 papers), Photosynthetic Processes and Mechanisms (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Machine Learning in Bioinformatics (1 paper), Colorectal Cancer Treatments and Studies (1 paper) and Protein purification and stability (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (238 citations), Oncology (279 citations), Immunology (169 citations), Molecular Biology (366 citations) and Biotechnology (39 citations). Thomas Urbig has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include David Drew, Gunnar von Heijne, Johan Nilsson, Chen‐Ni Chin, Jan‐Willem De Gier, Dan Sjöstrand, Patrick A. Baeuerle, Peter Kufer, Ralf Lutterbuese and Tobias Raum. Their work appears in journals such as Physiologia Plantarum, Proceedings of the National Academy of Sciences, FEBS Letters, Journal of Chromatography B and Molecular Immunology.
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.