Miriam Singer
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Physiology top 5%
- Telomeres, Telomerase, and Senescence
Papers in
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- CRISPR and Genetic Engineering 2
- Redox biology and oxidative stress 2
- Fungal and yeast genetics research 1
- Plant Gene Expression Analysis 1
- Photosynthetic Processes and Mechanisms 1
-
- Nitric Oxide and Endothelin Effects 2
- Co-authors
- Daniel E. Gottschling (3 shared papers)Suzanne E. Peterson (2 shared papers)Alon Kahana (1 shared paper)Alexander J. Wolf (1 shared paper)Catherine O. Johnson (1 shared paper)Scott J. Diede (1 shared paper)Anne E. Stellwagen (1 shared paper)Susanna Müller (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Genetics (1 paper)European Journal of Cell Biology (1 paper)Science (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- GermanyUnited StatesSouth Africa
In The Last Decade
Miriam Singer
6 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 70
- Aging 188
- Physiology 682
- Molecular Biology 1.1k
- Plant Science 232
- Biotechnology 28
Countries citing papers authored by Miriam Singer
This map shows the geographic impact of Miriam Singer'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 Miriam Singer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Singer more than expected).
Fields of papers citing papers by Miriam Singer
This network shows the impact of papers produced by Miriam Singer. 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 Miriam Singer. The network helps show where Miriam Singer may publish in the future.
Co-authors
The 25 scholars most cited alongside Miriam Singer, 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 | TLC1 : Template RNA Component of Saccharomyces cerevisiae Telomerase Hit paper breakdown → | 1994 | 632 |
| 2 | 1998 | 386 | |
| 3 | 2001 | 180 | |
| 4 | 2016 | 50 | |
| 5 | 2021 | 43 | |
| 6 | 2010 | 40 |
About Miriam Singer
Miriam Singer is a scholar working on Molecular Biology, Physiology, Aging, Biophysics and Plant Science, having authored 6 papers that have together received 1.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Redox biology and oxidative stress (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Nitric Oxide and Endothelin Effects (2 papers), Fungal and yeast genetics research (1 paper), Plant Molecular Biology Research (1 paper), Plant Gene Expression Analysis (1 paper) and Photosynthetic Processes and Mechanisms (1 paper). The work is most often cited by research in Aging (188 citations), Physiology (682 citations), Molecular Biology (1.1k citations), Plant Science (232 citations) and Biotechnology (28 citations). Miriam Singer has collaborated with scholars based in Germany, United States and South Africa. Frequent co-authors include Daniel E. Gottschling, Suzanne E. Peterson, Alon Kahana, Alexander J. Wolf, Catherine O. Johnson, Scott J. Diede, Anne E. Stellwagen, Susanna Müller, Ulrich Pohl and Kristin Pogoda. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Genetics, European Journal of Cell Biology, Science and Arteriosclerosis Thrombosis and Vascular Biology.
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.