Birgitta Heyman
- Immunology top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Molecular Biology top 10%
- Hematology top 2%
- Physiology top 5%
- Co-authors
- Andrew GetahunErik J. WiersmaSara WernerssonTaroh KinoshitaSandra KleinauMikael C. I. KarlssonHans WigzellPernilla Martinsson
- Topics
- Monoclonal and Polyclonal Antibodies Research (70 papers)T-cell and B-cell Immunology (68 papers)Immune Cell Function and Interaction (33 papers)
- Journals
- Proceedings of the National Academy of SciencesThe Journal of Experimental MedicineThe Journal of Immunology
- Partner nations
- SwedenUnited StatesJapan
In The Last Decade
Birgitta Heyman
102 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 123
- Immunology 2.6k
- Radiology, Nuclear Medicine and Imaging 1.7k
- Molecular Biology 777
- Hematology 500
- Physiology 444
Countries citing papers authored by Birgitta Heyman
This map shows the geographic impact of Birgitta Heyman'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 Birgitta Heyman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Birgitta Heyman more than expected).
Fields of papers citing papers by Birgitta Heyman
This network shows the impact of papers produced by Birgitta Heyman. 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 Birgitta Heyman. The network helps show where Birgitta Heyman may publish in the future.
Co-authorship network of co-authors of Birgitta Heyman
This figure shows the co-authorship network connecting the top 25 collaborators of Birgitta Heyman. A scholar is included among the top collaborators of Birgitta Heyman 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 Birgitta Heyman. Birgitta Heyman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | Marginal-zone B cells transport IgG3-antigen immune complexes into splenic B cell follicles | 1 |
| 3 | 165 | |
| 4 | 47 | |
| 5 | 23 | |
| 6 | 73 | |
| 7 | 77 | |
| 8 | 47 | |
| 9 | 10 | |
| 10 | 54 | |
| 11 | 51 | |
| 12 | 212 | |
| 13 | 80 | |
| 14 | 20 | |
| 15 | 89 | |
| 16 | 9 | |
| 17 | 110 | |
| 18 | 8 | |
| 19 | 80 | |
| 20 | 65 |
About Birgitta Heyman
Birgitta Heyman is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 104 papers that have together received 4.1k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (70 papers), T-cell and B-cell Immunology (68 papers) and Immune Cell Function and Interaction (33 papers). The work is most often cited by research in Immunology (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.7k citations) and Immunology and Allergy (362 citations). Birgitta Heyman has collaborated with scholars based in Sweden, United States and Japan. Frequent co-authors include Andrew Getahun, Erik J. Wiersma, Sara Wernersson, Taroh Kinoshita, Sandra Kleinau, Mikael C. I. Karlsson, Hans Wigzell, Pernilla Martinsson, Fredrik Hjelm and Jörgen Dahlström. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine 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.