Małgorzata Wamil
- Neurology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Infectious Diseases top 10%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- J. R. SecklAmitava BanerjeeAndrea DennisRajarshi BanerjeeMelissa HeightmanMichael BradyDan WoottonEmily Attree
- Topics
- Cardiovascular Function and Risk Factors (6 papers)Cardiac Imaging and Diagnostics (5 papers)Hormonal Regulation and Hypertension (5 papers)
- Partner nations
- United KingdomUnited StatesSouth Africa
In The Last Decade
Małgorzata Wamil
24 papers receiving 952 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Neurology 337
- Endocrinology, Diabetes and Metabolism 280
- Infectious Diseases 198
- Molecular Biology 188
- Cardiology and Cardiovascular Medicine 161
Countries citing papers authored by Małgorzata Wamil
This map shows the geographic impact of Małgorzata Wamil'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 Małgorzata Wamil with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Małgorzata Wamil more than expected).
Fields of papers citing papers by Małgorzata Wamil
This network shows the impact of papers produced by Małgorzata Wamil. 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 Małgorzata Wamil. The network helps show where Małgorzata Wamil may publish in the future.
Co-authorship network of co-authors of Małgorzata Wamil
This figure shows the co-authorship network connecting the top 25 collaborators of Małgorzata Wamil. A scholar is included among the top collaborators of Małgorzata Wamil based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Małgorzata Wamil. Małgorzata Wamil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 31 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 35 | |
| 10 | 71 | |
| 11 | Multiorgan impairment in low-risk individuals with post-COVID-19 syndrome: a prospective, community-based studybreakdown → | 345 |
| 12 | 6 | |
| 13 | 17 | |
| 14 | 4 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | Anti-inflammatory Effects of Nicotinic Acid: Mechanisms of Action in Human Monocytes | 3 |
| 18 | 37 | |
| 19 | Inhibitor dehydrogenazy 11beta-hydrosteroidowej: nowy cel w farmakoterapii zespołu metabolicznego | 1 |
| 20 | 128 |
About Małgorzata Wamil
Małgorzata Wamil is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Biological Psychiatry, having authored 26 papers that have together received 982 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Cardiac Imaging and Diagnostics (5 papers) and Hormonal Regulation and Hypertension (5 papers). The work is most often cited by research in Neurology (337 citations), Endocrinology, Diabetes and Metabolism (280 citations) and Critical Care and Intensive Care Medicine (83 citations). Małgorzata Wamil has collaborated with scholars based in United Kingdom, United States and South Africa. Frequent co-authors include J. R. Seckl, Amitava Banerjee, Andrea Dennis, Rajarshi Banerjee, Melissa Heightman, Michael Brady, Dan Wootton, Emily Attree, Mark Gabbay and Lyth Hishmeh. Their work appears in journals such as The Lancet, Circulation and Journal of the American College of Cardiology.
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.