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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- RNA modifications and cancer 1
- 14-3-3 protein interactions 1
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- Adipokines, Inflammation, and Metabolic Diseases 2
- Co-authors
- Cliona O’Farrelly (2 shared papers)Jeff Connell (2 shared papers)Lydia Lynch (2 shared papers)Donal O’Shea (2 shared papers)Tom Cawood (1 shared paper)Niamh Nolan (1 shared paper)P. Aiden McCormick (1 shared paper)Justin Geoghegan (1 shared paper)
- Journals
- Advances in experimental medicine and biology (1 paper)Journal of Proteomics (1 paper)Annals of the New York Academy of Sciences (1 paper)Obesity (1 paper)Arthritis & Rheumatology (1 paper)
- Partner nations
- IrelandPolandNetherlands
In The Last Decade
Anna Kwaśnik
8 papers receiving 388 citations
Peers
Comparison fields: 5 of 69
- Physiology 183
- Epidemiology 193
- Immunology 106
- Endocrine and Autonomic Systems 29
- Cardiology and Cardiovascular Medicine 80
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 | 192 | |
| 2 | 2010 | 172 | |
| 3 | 2021 | 15 | |
| 4 | 2016 | 7 | |
| 5 | 2019 | 6 | |
| 6 | 2017 | 4 | |
| 7 | 2005 | 3 | |
| 8 | 2007 | 3 |
About Anna Kwaśnik
Anna Kwaśnik is a scholar working on Molecular Biology, Epidemiology, Physiology, Genetics and Spectroscopy, having authored 8 papers that have together received 402 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (2 papers), Estrogen and related hormone effects (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Rheumatoid Arthritis Research and Therapies (1 paper), RNA modifications and cancer (1 paper), 14-3-3 protein interactions (1 paper) and Cardiovascular Disease and Adiposity (1 paper). The work is most often cited by research in Physiology (183 citations), Epidemiology (193 citations), Immunology (106 citations), Endocrine and Autonomic Systems (29 citations) and Cardiology and Cardiovascular Medicine (80 citations). Anna Kwaśnik has collaborated with scholars based in Ireland, Poland and Netherlands. Frequent co-authors include Cliona O’Farrelly, Jeff Connell, Lydia Lynch, Donal O’Shea, Tom Cawood, Niamh Nolan, P. Aiden McCormick, Justin Geoghegan, Stephen R. Pennington and Jerzy Galas. Their work appears in journals such as Advances in experimental medicine and biology, Journal of Proteomics, Annals of the New York Academy of Sciences, Obesity and Arthritis & Rheumatology.
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.