Moa Fransson
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Oncology top 10%
- CAR-T cell therapy research
Papers in
-
- Immunotherapy and Immune Responses 6
- T-cell and B-cell Immunology 3
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- Multiple Sclerosis Research Studies 3
- Co-authors
- Angelica Loskog (9 shared papers)Joachim Burman (5 shared papers)Peetra U. Magnusson (4 shared papers)Robert A. Harris (2 shared papers)Eva B. Brittebo (2 shared papers)Elena Piras (2 shared papers)Magnus Essand (2 shared papers)Binfeng Lu (1 shared paper)
- Journals
- Immunology (3 papers)Clinical Cancer Research (2 papers)Journal of Immunotherapy (1 paper)Journal of Neuroinflammation (1 paper)International Immunopharmacology (1 paper)
- Partner nations
- SwedenGermanyUnited Kingdom
In The Last Decade
Moa Fransson
12 papers receiving 642 citations
Peers
Comparison fields: 5 of 64
- Immunology 332
- Oncology 259
- Developmental Neuroscience 26
- Genetics 49
- Neurology 35
Countries citing papers authored by Moa Fransson
This map shows the geographic impact of Moa 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 Moa Fransson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moa Fransson more than expected).
Fields of papers citing papers by Moa Fransson
This network shows the impact of papers produced by Moa 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 Moa Fransson. The network helps show where Moa Fransson may publish in the future.
Co-authors
The 25 scholars most cited alongside Moa 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 | 2012 | 304 | |
| 2 | 2010 | 89 | |
| 3 | 2005 | 45 | |
| 4 | 2014 | 36 | |
| 5 | 2008 | 36 | |
| 6 | 2013 | 34 | |
| 7 | 2014 | 32 | |
| 8 | 2010 | 27 | |
| 9 | 2015 | 20 | |
| 10 | 2009 | 18 | |
| 11 | Finding Patterns in Vehicle Diagnostic Trouble Codes : A data mining study applying associative classification | 2015 | 6 |
| 12 | 2020 | 3 |
About Moa Fransson
Moa Fransson is a scholar working on Immunology, Pathology and Forensic Medicine, Oncology, Surgery and Molecular Biology, having authored 12 papers that have together received 650 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), T-cell and B-cell Immunology (3 papers), Multiple Sclerosis Research Studies (3 papers), CAR-T cell therapy research (2 papers), Advanced Clustering Algorithms Research (1 paper), Data Mining Algorithms and Applications (1 paper), Rough Sets and Fuzzy Logic (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology (332 citations), Oncology (259 citations), Developmental Neuroscience (26 citations), Genetics (49 citations) and Neurology (35 citations). Moa Fransson has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Angelica Loskog, Joachim Burman, Peetra U. Magnusson, Robert A. Harris, Eva B. Brittebo, Elena Piras, Magnus Essand, Binfeng Lu, Berith Nilsson and Thomas H. Tötterman. Their work appears in journals such as Immunology, Clinical Cancer Research, Journal of Immunotherapy, Journal of Neuroinflammation and International Immunopharmacology.
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.