Ulrich Schwab
- Molecular Biology top 5%
- Oncology top 1%
- Pathology and Forensic Medicine top 0.5%
- Immunology top 2%
- Cancer Research top 1%
- Co-authors
- Johannes GerdesHilmar LemkeHans WackerH. BaischHarald SteinVolker DiehlHartmut KirchnerM. Schaadt
- Topics
- Monoclonal and Polyclonal Antibodies Research (7 papers)Religion, Theology, and Education (5 papers)T-cell and B-cell Immunology (3 papers)
- Journals
- NatureSHILAP Revista de lepidopterologíaThe Journal of Immunology
- Partner nations
- United KingdomGermanyPeru
In The Last Decade
Ulrich Schwab
29 papers receiving 7.0k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.2k
- Oncology 2.1k
- Pathology and Forensic Medicine 1.6k
- Immunology 1.4k
- Cancer Research 1.1k
Countries citing papers authored by Ulrich Schwab
This map shows the geographic impact of Ulrich Schwab'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 Ulrich Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulrich Schwab more than expected).
Fields of papers citing papers by Ulrich Schwab
This network shows the impact of papers produced by Ulrich Schwab. 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 Ulrich Schwab. The network helps show where Ulrich Schwab may publish in the future.
Co-authorship network of co-authors of Ulrich Schwab
This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Schwab. A scholar is included among the top collaborators of Ulrich Schwab 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 Ulrich Schwab. Ulrich Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 13 | |
| 4 | 1 | |
| 5 | 33 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 25 | |
| 10 | Lehrbuch der Religionsdidaktik | 1 |
| 11 | try and find the thread... | 1 |
| 12 | Geschichte der evangelischen Jugendarbeit | 0 |
| 13 | 13 | |
| 14 | [Photosensitizing properties of nonsteroidal antirheumatic drugs in the photopatch test]. | 28 |
| 15 | 11 | |
| 16 | Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67.breakdown → | 3620 |
| 17 | 2 | |
| 18 | [Contact sensitization to an antiperspirant with the active ingredient propantheline bromide]. | 6 |
| 19 | 68 | |
| 20 | 359 |
About Ulrich Schwab
Ulrich Schwab is a scholar working on Religious studies, Applied Microbiology and Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 7.3k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Religion, Theology, and Education (5 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Oncology (2.1k citations) and Cancer Research (1.1k citations). Ulrich Schwab has collaborated with scholars based in United Kingdom, Germany and Peru. Frequent co-authors include Johannes Gerdes, Hilmar Lemke, Hans Wacker, H. Baisch, Harald Stein, Harald Stein, Volker Diehl, Harald Stein, Hartmut Kirchner and M. Schaadt. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and The Journal of 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.