Johan Fransson
Impact in
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- Monoclonal and Polyclonal Antibodies Research
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- Glycosylation and Glycoproteins Research
- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
- Wnt/β-catenin signaling in development and cancer
Papers in ⓘ
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- Monoclonal and Polyclonal Antibodies Research 12
- Co-authors
- Juan C. Almagro (4 shared papers)Carl Borrebaeck (6 shared papers)Sara Ek (2 shared papers)Eva Ortega‐Paino (1 shared paper)G. Raghunathan (3 shared papers)Nels Thorsteinson (1 shared paper)Patricia Giblin (2 shared papers)Arif Jetha (1 shared paper)
- Journals
- mAbs (2 papers)International Journal of Cancer (2 papers)Cancer Letters (1 paper)npj Genomic Medicine (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- SwedenCanadaUnited States
In The Last Decade
Johan Fransson
14 papers receiving 347 citations
Peers
Comparison fields: 5 of 59
- Radiology, Nuclear Medicine and Imaging 231
- Molecular Biology 261
- Immunology 80
- Oncology 75
- Genetics 17
Countries citing papers authored by Johan Fransson
This map shows the geographic impact of Johan Fransson'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 Johan Fransson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Fransson more than expected).
Fields of papers citing papers by Johan Fransson
This network shows the impact of papers produced by Johan Fransson. 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 Johan Fransson. The network helps show where Johan Fransson may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Fransson, 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 | 2008 | 171 | |
| 2 | 2007 | 34 | |
| 3 | 2010 | 29 | |
| 4 | 2018 | 28 | |
| 5 | 2012 | 27 | |
| 6 | 2019 | 23 | |
| 7 | 2006 | 17 | |
| 8 | 2017 | 11 | |
| 9 | 2006 | 10 | |
| 10 | 2020 | 10 | |
| 11 | 2009 | 7 | |
| 12 | 2004 | 6 | |
| 13 | 2008 | 3 | |
| 14 | 2018 | 1 |
About Johan Fransson
Johan Fransson is a scholar working on Structural Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology and Immunology and Allergy, having authored 14 papers that have together received 377 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (12 papers), Glycosylation and Glycoproteins Research (5 papers), Protein purification and stability (3 papers), T-cell and B-cell Immunology (3 papers), HER2/EGFR in Cancer Research (2 papers), Lymphoma Diagnosis and Treatment (1 paper), Trace Elements in Health (1 paper) and Cytokine Signaling Pathways and Interactions (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (231 citations), Molecular Biology (261 citations), Immunology (80 citations), Oncology (75 citations) and Genetics (17 citations). Johan Fransson has collaborated with scholars based in Sweden, Canada and United States. Frequent co-authors include Juan C. Almagro, Carl Borrebaeck, Sara Ek, Eva Ortega‐Paino, G. Raghunathan, Nels Thorsteinson, Patricia Giblin, Arif Jetha, Thai Dinh and Ronald V. Swanson. Their work appears in journals such as mAbs, International Journal of Cancer, Cancer Letters, npj Genomic Medicine and Journal of Molecular Biology.
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.