Maciej Lis
- Geriatrics and Gerontology top 2%
- Physiology
- Cardiology and Cardiovascular Medicine
- Molecular Biology
- Economics and Econometrics top 10%
- Co-authors
- Hanneke SchuurmansNardi SteverinkKenneth M. BlumenthalYoshio NakanoChiaki KatoHoward K. KuramitsuLibuse A. BobekRebeccah F. Young
- Topics
- Cardiac Valve Diseases and Treatments (6 papers)Retirement, Disability, and Employment (5 papers)Antimicrobial Peptides and Activities (4 papers)
- Journals
- Circulation ResearchBiochemical and Biophysical Research CommunicationsInternational Journal of Molecular Sciences
- Partner nations
- PolandUnited StatesUnited Kingdom
In The Last Decade
Maciej Lis
32 papers receiving 628 citations
Peers
Comparison fields: 5 of 114
- Geriatrics and Gerontology 196
- Physiology 163
- Cardiology and Cardiovascular Medicine 139
- Molecular Biology 124
- Economics and Econometrics 116
Countries citing papers authored by Maciej Lis
This map shows the geographic impact of Maciej Lis'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 Maciej Lis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Lis more than expected).
Fields of papers citing papers by Maciej Lis
This network shows the impact of papers produced by Maciej Lis. 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 Maciej Lis. The network helps show where Maciej Lis may publish in the future.
Co-authorship network of co-authors of Maciej Lis
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Lis. A scholar is included among the top collaborators of Maciej Lis 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 Maciej Lis. Maciej Lis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 15 | |
| 7 | 29 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | Ocena wpływu realizacji interwencji współfinansowanych z EFS na podniesienie jakości zasobów ludzkich | 3 |
| 15 | 18 | |
| 16 | 66 | |
| 17 | 37 | |
| 18 | 13 | |
| 19 | Measuring frailty: Developing and testing the GFI (Groningen frailty indicator). | 270 |
| 20 | 63 |
About Maciej Lis
Maciej Lis is a scholar working on Microbiology, Cardiology and Cardiovascular Medicine and Demography, having authored 33 papers that have together received 638 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (6 papers), Retirement, Disability, and Employment (5 papers) and Antimicrobial Peptides and Activities (4 papers). The work is most often cited by research in Geriatrics and Gerontology (196 citations), Periodontics (37 citations) and Neuropsychology and Physiological Psychology (10 citations). Maciej Lis has collaborated with scholars based in Poland, United States and United Kingdom. Frequent co-authors include Hanneke Schuurmans, Nardi Steverink, Kenneth M. Blumenthal, Yoshio Nakano, Chiaki Kato, Howard K. Kuramitsu, Libuse A. Bobek, Rebeccah F. Young, Mateusz K. Hołda and Mateusz Koziej. Their work appears in journals such as Circulation Research, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.
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.