Marc Meier
Impact in
- Geriatrics and Gerontology top 5%
- Frailty in Older Adults
Papers in
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- Ubiquitin and proteasome pathways 1
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- Hepatitis B Virus Studies 1
- Co-authors
- Jerzy Adamski (6 shared papers)Beat Müeller (8 shared papers)Philipp Schüetz (8 shared papers)Gabriele Möller (2 shared papers)Sebastian Haubitz (2 shared papers)Daniel Koch (2 shared papers)Luca Bernasconi (7 shared papers)Petra Lukacik (1 shared paper)
- Journals
- BMC Infectious Diseases (2 papers)Lung (2 papers)Expert Review of Anti-infective Therapy (1 paper)Biochemical Journal (1 paper)Annals of the New York Academy of Sciences (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Marc Meier
19 papers receiving 377 citations
Peers
Comparison fields: 5 of 80
- Geriatrics and Gerontology 65
- Biological Psychiatry 16
- Clinical Biochemistry 15
- Biochemistry 15
- Endocrinology, Diabetes and Metabolism 31
Countries citing papers authored by Marc Meier
This map shows the geographic impact of Marc Meier'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 Marc Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Meier more than expected).
Fields of papers citing papers by Marc Meier
This network shows the impact of papers produced by Marc Meier. 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 Marc Meier. The network helps show where Marc Meier may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Meier, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 75 | |
| 2 | 2005 | 67 | |
| 3 | 2009 | 34 | |
| 4 | 2009 | 31 | |
| 5 | 2018 | 30 | |
| 6 | 2018 | 20 | |
| 7 | 2017 | 19 | |
| 8 | 2020 | 17 | |
| 9 | 2017 | 16 | |
| 10 | 2008 | 14 | |
| 11 | 2017 | 12 | |
| 12 | 2015 | 12 | |
| 13 | 2009 | 11 | |
| 14 | 2018 | 7 | |
| 15 | 2017 | 7 | |
| 16 | 2008 | 6 | |
| 17 | 2018 | 5 | |
| 18 | [Coronary disease and vinorelbine]. | 1994 | 4 |
| 19 | 2020 | 2 | |
| 20 | 1998 | 1 |
About Marc Meier
Marc Meier is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Cell Biology and Sociology and Political Science, having authored 21 papers that have together received 390 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (3 papers), Hormonal Regulation and Hypertension (3 papers), Criminal Justice and Corrections Analysis (2 papers), Demographic Trends and Gender Preferences (1 paper), Nitric Oxide and Endothelin Effects (1 paper), Ubiquitin and proteasome pathways (1 paper), Metabolism and Genetic Disorders (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Geriatrics and Gerontology (65 citations), Biological Psychiatry (16 citations), Clinical Biochemistry (15 citations), Biochemistry (15 citations) and Endocrinology, Diabetes and Metabolism (31 citations). Marc Meier has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Jerzy Adamski, Beat Müeller, Philipp Schüetz, Gabriele Möller, Sebastian Haubitz, Daniel Koch, Luca Bernasconi, Petra Lukacik, Udo Oppermann and Wen‐Hwa Lee. Their work appears in journals such as BMC Infectious Diseases, Lung, Expert Review of Anti-infective Therapy, Biochemical Journal and Annals of the New York Academy of 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.