Hans Wigzell
- Immunology top 0.02%
- Molecular Biology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.1%
- Oncology top 0.5%
- Epidemiology top 0.5%
- Topics
- T-cell and B-cell Immunology (163 papers)Immune Cell Function and Interaction (154 papers)Monoclonal and Polyclonal Antibodies Research (133 papers)
- Cited by
- ImmunologyMicrobiologyVirology
- Partner nations
- SwedenUnited StatesSwitzerland
In The Last Decade
Hans Wigzell
481 papers receiving 25.4k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Immunology 17.8k
- Molecular Biology 6.2k
- Radiology, Nuclear Medicine and Imaging 5.0k
- Oncology 3.6k
- Epidemiology 3.2k
Countries citing papers authored by Hans Wigzell
This map shows the geographic impact of Hans Wigzell'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 Hans Wigzell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Wigzell more than expected).
Fields of papers citing papers by Hans Wigzell
This network shows the impact of papers produced by Hans Wigzell. 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 Hans Wigzell. The network helps show where Hans Wigzell may publish in the future.
Co-authorship network of co-authors of Hans Wigzell
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Wigzell. A scholar is included among the top collaborators of Hans Wigzell 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 Hans Wigzell. Hans Wigzell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 63 | |
| 3 | 60 | |
| 4 | 37 | |
| 5 | 131 | |
| 6 | 31 | |
| 7 | 108 | |
| 8 | 113 | |
| 9 | 144 | |
| 10 | 43 | |
| 11 | 14 | |
| 12 | 7 | |
| 13 | 30 | |
| 14 | 16 | |
| 15 | 32 | |
| 16 | New horizons in animal models for autoimmune disease | 28 |
| 17 | Immunoglobulin idiotypes : proceedings of a symposium held on immunobiological idiotypes and their expression, sponsored by the ICN-UCLA symposia on molecular & cellular biology, held in Salt Lake City, Utah, February 8-15, 1981 | 3 |
| 18 | Lipid-modified antigens. I. Specificity of guinea pig T lymphocyte responses and I-region restriction. | 5 |
| 19 | Blood leukocytes : function and use in therapy | 7 |
| 20 | Immune responses in spleen colonies. II. Clonal assortment of 19S- and 7S-producing cells in mice reacting against two antigens. | 21 |
About Hans Wigzell
Hans Wigzell is a scholar working on Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 489 papers that have together received 28.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (163 papers), Immune Cell Function and Interaction (154 papers) and Monoclonal and Polyclonal Antibodies Research (133 papers). The work is most often cited by research in Immunology (17.8k citations), Microbiology (2.3k citations) and Virology (1.7k citations). Hans Wigzell has collaborated with scholars based in Sweden, United States and Switzerland. Frequent co-authors include Rolf Kiessling, Mikael Jondal, Eva Klein, Hans Binz, G. Holm, Magnus Gidlund, Otto Haller, Anders Örn, Lars Klareskog and Martı́n E. Rottenberg. Their work appears in journals such as Nature, Science and Cell.
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.