Jan Erikson
- Immunology top 0.2%
- T-cell and B-cell Immunology 51
- Immune Cell Function and Interaction 36
- Immunotherapy and Immune Responses 26
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research 20
- Hematology top 0.5%
- Chronic Myeloid Leukemia Treatments 12
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment 15
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- Monoclonal and Polyclonal Antibodies Research 27
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- Systemic Lupus Erythematosus Research 9
- Co-authors
- Carlo M. CrocePeter C. Nowell̀Marko RadicA ar-RushdiKazuko NishikuraJ FinanMartin WeigertG Rovera
- Cited by
- ImmunologyGeneticsHematology
- Journals
- The Journal of Immunology (16 papers)Proceedings of the National Academy of Sciences (16 papers)Science (9 papers)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jan Erikson
99 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Immunology 4.6k
- Genetics 1.5k
- Hematology 1.1k
- Pathology and Forensic Medicine 1.3k
- Radiology, Nuclear Medicine and Imaging 1.5k
Countries citing papers authored by Jan Erikson
This map shows the geographic impact of Jan Erikson'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 Jan Erikson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Erikson more than expected).
Fields of papers citing papers by Jan Erikson
This network shows the impact of papers produced by Jan Erikson. 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 Jan Erikson. The network helps show where Jan Erikson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jan Erikson, 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 | 2014 | 50 | |
| 2 | 2010 | 54 | |
| 3 | 2009 | 9 | |
| 4 | 2005 | 151 | |
| 5 | 2005 | 66 | |
| 6 | 2005 | 25 | |
| 7 | 2003 | 35 | |
| 8 | 2003 | 33 | |
| 9 | 2002 | 57 | |
| 10 | 2001 | 26 | |
| 11 | 2001 | 56 | |
| 12 | 2001 | 40 | |
| 13 | 2000 | 50 | |
| 14 | 1995 | 151 | |
| 15 | 1995 | 87 | |
| 16 | 1991 | 401 | |
| 17 | 1988 | 39 | |
| 18 | 1985 | 52 | |
| 19 | 1984 | 1 | |
| 20 | Development and use of Yersinia ruckeri bacterins to control enteric redmouth disease | 1980 | 20 |
About Jan Erikson
Jan Erikson is a scholar working on Immunology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 99 papers that have together received 9.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (51 papers), Immune Cell Function and Interaction (36 papers), Monoclonal and Polyclonal Antibodies Research (27 papers), Immunotherapy and Immune Responses (26 papers), Chronic Lymphocytic Leukemia Research (20 papers), Lymphoma Diagnosis and Treatment (15 papers), Chronic Myeloid Leukemia Treatments (12 papers) and Systemic Lupus Erythematosus Research (9 papers). The work is most often cited by research in Immunology (4.6k citations), Genetics (1.5k citations) and Hematology (1.1k citations). Jan Erikson has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Carlo M. Croce, Peter C. Nowell̀, Marko Radic, A ar-Rushdi, Kazuko Nishikura, J Finan, Martin Weigert, G Rovera, Rosemary Watt and Laura Mandik‐Nayak. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Science, The Journal of Experimental Medicine and International 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.