Marc A. Beer
Impact in
-
- Carcinogens and Genotoxicity Assessment
- Biochemistry top 10%
Papers in
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- Polyamine Metabolism and Applications 3
- Genetics 7
- Genetic diversity and population structure 3
- Yersinia bacterium, plague, ectoparasites research 2
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Urs Meyer (3 shared papers)Martin Blum (2 shared papers)Denis M. Grant (1 shared paper)M. Montani (2 shared papers)Josefine Gerhardt (2 shared papers)Glen Kristiansen (2 shared papers)Michael Müntener (2 shared papers)Thomas Hermanns (2 shared papers)
- Journals
- The Prostate (1 paper)British Journal of Dermatology (1 paper)Journal of Evolutionary Biology (1 paper)BMC Surgery (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Marc A. Beer
21 papers receiving 639 citations
Peers
Comparison fields: 5 of 85
- Cancer Research 121
- Biochemistry 49
- Oncology 147
- Pharmacology 48
- Pulmonary and Respiratory Medicine 135
Countries citing papers authored by Marc A. Beer
This map shows the geographic impact of Marc A. Beer'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 A. Beer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc A. Beer more than expected).
Fields of papers citing papers by Marc A. Beer
This network shows the impact of papers produced by Marc A. Beer. 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 A. Beer. The network helps show where Marc A. Beer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc A. Beer, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 212 | |
| 2 | 2011 | 124 | |
| 3 | 2011 | 111 | |
| 4 | 1994 | 72 | |
| 5 | 2013 | 54 | |
| 6 | 2011 | 12 | |
| 7 | 1991 | 10 | |
| 8 | 2012 | 10 | |
| 9 | 2021 | 7 | |
| 10 | 2018 | 7 | |
| 11 | 2020 | 5 | |
| 12 | 2012 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2024 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2024 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2021 | 2 | |
| 19 | 2019 | 2 | |
| 20 | 2013 | 1 |
About Marc A. Beer
Marc A. Beer is a scholar working on Molecular Biology, Genetics, Surgery, Oncology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 648 indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (3 papers), Polyamine Metabolism and Applications (3 papers), Genetic diversity and population structure (3 papers), Cutaneous Melanoma Detection and Management (2 papers), Cardiac Structural Anomalies and Repair (2 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Genetic and phenotypic traits in livestock (2 papers) and Mass Spectrometry Techniques and Applications (2 papers). The work is most often cited by research in Cancer Research (121 citations), Biochemistry (49 citations), Oncology (147 citations), Pharmacology (48 citations) and Pulmonary and Respiratory Medicine (135 citations). Marc A. Beer has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Urs Meyer, Martin Blum, Denis M. Grant, M. Montani, Josefine Gerhardt, Glen Kristiansen, Michael Müntener, Thomas Hermanns, Peter J. Wild and Thomas F. Hany. Their work appears in journals such as The Prostate, British Journal of Dermatology, Journal of Evolutionary Biology, BMC Surgery and American Journal Of Pathology.
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.