Anna Kwaśnik
Impact in
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- Adipose Tissue and Metabolism
- Diet and metabolism studies
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- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
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- Ubiquitin and proteasome pathways 1
- 14-3-3 protein interactions 1
- Genetics 2
- Estrogen and related hormone effects 2
- Co-authors
- Lydia Lynch (2 shared papers)Jean O’Connell (2 shared papers)Donal O’Shea (2 shared papers)Cliona O’Farrelly (2 shared papers)P. Aiden McCormick (1 shared paper)Tom Cawood (1 shared paper)Niamh Nolan (1 shared paper)Justin Geoghegan (1 shared paper)
- Journals
- Obesity (1 paper)Advances in experimental medicine and biology (1 paper)Arthritis & Rheumatology (1 paper)Acta Histochemica (1 paper)Pathology & Oncology Research (1 paper)
- Partner nations
- IrelandPolandNetherlands
In The Last Decade
Anna Kwaśnik
8 papers receiving 397 citations
Peers
Comparison fields: 5 of 64
- Physiology 142
- Epidemiology 168
- Immunology 95
- Endocrine and Autonomic Systems 27
- Cardiology and Cardiovascular Medicine 62
Countries citing papers authored by Anna Kwaśnik
This map shows the geographic impact of Anna Kwaśnik'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 Anna Kwaśnik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Kwaśnik more than expected).
Fields of papers citing papers by Anna Kwaśnik
This network shows the impact of papers produced by Anna Kwaśnik. 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 Anna Kwaśnik. The network helps show where Anna Kwaśnik may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Kwaśnik, 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 | 2009 | 198 | |
| 2 | 2010 | 174 | |
| 3 | 2021 | 15 | |
| 4 | 2016 | 8 | |
| 5 | 2019 | 6 | |
| 6 | 2017 | 4 | |
| 7 | 2005 | 3 | |
| 8 | 2007 | 3 |
About Anna Kwaśnik
Anna Kwaśnik is a scholar working on Molecular Biology, Genetics, Spectroscopy, Cellular and Molecular Neuroscience and Social Psychology, having authored 8 papers that have together received 411 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (1 paper), Hormonal and reproductive studies (1 paper), 14-3-3 protein interactions (1 paper), Neuroendocrine regulation and behavior (1 paper) and Neuroscience and Neuropharmacology Research (1 paper). The work is most often cited by research in Physiology (142 citations), Epidemiology (168 citations), Immunology (95 citations), Endocrine and Autonomic Systems (27 citations) and Cardiology and Cardiovascular Medicine (62 citations). Anna Kwaśnik has collaborated with scholars based in Ireland, Poland and Netherlands. Frequent co-authors include Lydia Lynch, Jean O’Connell, Donal O’Shea, Cliona O’Farrelly, P. Aiden McCormick, Tom Cawood, Niamh Nolan, Justin Geoghegan, Stephen R. Pennington and Oliver FitzGerald. Their work appears in journals such as Obesity, Advances in experimental medicine and biology, Arthritis & Rheumatology, Acta Histochemica and Pathology & Oncology Research.
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.