Steven E. Applequist
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Clinical Biochemistry top 10%
Papers in
- Immunology 14
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 6
- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 4
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- Inflammasome and immune disorders 2
- Co-authors
- Hans‐Martin Jäck (4 shared papers)Sanna Nyström (7 shared papers)Chander Raman (2 shared papers)Gabriele Beck‐Engeser (2 shared papers)Jan Jongstra (2 shared papers)Evren Alici (1 shared paper)Birgitta Stellan (1 shared paper)Mari Gilljam (1 shared paper)
- Journals
- The Journal of Immunology (4 papers)Vaccines (2 papers)The EMBO Journal (2 papers)PLoS ONE (1 paper)Human Gene Therapy (1 paper)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Steven E. Applequist
18 papers receiving 917 citations
Peers
Comparison fields: 5 of 78
- Immunology 545
- Clinical Biochemistry 35
- Oncology 128
- Molecular Biology 345
- Virology 21
Countries citing papers authored by Steven E. Applequist
This map shows the geographic impact of Steven E. Applequist'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 Steven E. Applequist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven E. Applequist more than expected).
Fields of papers citing papers by Steven E. Applequist
This network shows the impact of papers produced by Steven E. Applequist. 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 Steven E. Applequist. The network helps show where Steven E. Applequist may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven E. Applequist, 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 | 2002 | 195 | |
| 2 | 1997 | 131 | |
| 3 | 2012 | 122 | |
| 4 | 2012 | 117 | |
| 5 | 1995 | 89 | |
| 6 | 2005 | 78 | |
| 7 | 2000 | 53 | |
| 8 | 1995 | 40 | |
| 9 | 2010 | 34 | |
| 10 | 1995 | 16 | |
| 11 | 2013 | 12 | |
| 12 | 2013 | 11 | |
| 13 | 2006 | 10 | |
| 14 | 2019 | 10 | |
| 15 | 2012 | 8 | |
| 16 | 2013 | 4 | |
| 17 | 2014 | 3 | |
| 18 | 2016 | 2 |
About Steven E. Applequist
Steven E. Applequist is a scholar working on Immunology, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Biotechnology, having authored 18 papers that have together received 935 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (5 papers), Immune Response and Inflammation (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Influenza Virus Research Studies (2 papers), Transgenic Plants and Applications (2 papers) and Inflammasome and immune disorders (2 papers). The work is most often cited by research in Immunology (545 citations), Clinical Biochemistry (35 citations), Oncology (128 citations), Molecular Biology (345 citations) and Virology (21 citations). Steven E. Applequist has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Hans‐Martin Jäck, Sanna Nyström, Chander Raman, Gabriele Beck‐Engeser, Jan Jongstra, Evren Alici, Birgitta Stellan, Mari Gilljam, Tolga Sütlü and Jorma Hinkula. Their work appears in journals such as The Journal of Immunology, Vaccines, The EMBO Journal, PLoS ONE and Human Gene Therapy.
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.