Ania Skowera
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 2%
- Diabetes and associated disorders
Papers in
- Immunology 18
- Immune Cell Function and Interaction 14
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 4
- Genetics 13
- Diabetes and associated disorders 12
- Co-authors
- Mark PeakmanAndrew K. SewellTimothy TreeColin DayanSefina ArifRichard J. EllisBart O. RoepSimon Wessely
- Journals
- Diabetes (5 papers)Journal of Clinical Investigation (5 papers)Clinical & Experimental Immunology (4 papers)The Journal of Immunology (3 papers)Annals of the Rheumatic Diseases (2 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Ania Skowera
26 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 93
- Immunology 1.0k
- Genetics 712
- Endocrinology, Diabetes and Metabolism 337
- Psychiatry and Mental health 171
- Surgery 469
Countries citing papers authored by Ania Skowera
This map shows the geographic impact of Ania Skowera'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 Ania Skowera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ania Skowera more than expected).
Fields of papers citing papers by Ania Skowera
This network shows the impact of papers produced by Ania Skowera. 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 Ania Skowera. The network helps show where Ania Skowera may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ania Skowera, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2018 | 47 | |
| 4 | 2017 | 19 | |
| 5 | 2016 | 20 | |
| 6 | 2016 | 113 | |
| 7 | 2014 | 87 | |
| 8 | 2013 | 56 | |
| 9 | 2013 | 42 | |
| 10 | 2012 | 95 | |
| 11 | 2012 | 190 | |
| 12 | 2010 | 102 | |
| 13 | 2010 | 84 | |
| 14 | 2009 | 3 | |
| 15 | 2008 | 298 | |
| 16 | 2008 | 117 | |
| 17 | 2006 | 23 | |
| 18 | 2004 | 21 | |
| 19 | 2003 | 63 | |
| 20 | 2002 | 17 |
About Ania Skowera
Ania Skowera is a scholar working on Immunology, Genetics, Behavioral Neuroscience, Psychiatry and Mental health and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), Diabetes and associated disorders (12 papers), T-cell and B-cell Immunology (11 papers), Pancreatic function and diabetes (8 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Immunotherapy and Immune Responses (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Diabetes Management and Research (4 papers). The work is most often cited by research in Immunology (1.0k citations), Genetics (712 citations), Endocrinology, Diabetes and Metabolism (337 citations), Psychiatry and Mental health (171 citations) and Surgery (469 citations). Ania Skowera has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Mark Peakman, Andrew K. Sewell, Timothy Tree, Colin Dayan, Sefina Arif, Richard J. Ellis, Bart O. Roep, Simon Wessely, Guo Huang and Jennifer S. Allen. Their work appears in journals such as Diabetes, Journal of Clinical Investigation, Clinical & Experimental Immunology, The Journal of Immunology and Annals of the Rheumatic Diseases.
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.