Michael R. Erdos
- Aging top 0.5%
- Molecular Biology top 0.5%
- Nuclear Structure and Function 25
- RNA Research and Splicing 20
- Genomics and Chromatin Dynamics 15
- Epigenetics and DNA Methylation 10
- DNA Repair Mechanisms 9
- CRISPR and Genetic Engineering 5
- Genetics top 1%
- BRCA gene mutations in cancer 7
- Cell Biology top 1%
- Oncology top 2%
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- Pancreatic function and diabetes 8
- Co-authors
- Francis S. CollinsMaria ErikssonLeslie B. GordonKan CaoMichael BoehnkeLaura J. ScottRobert D. GoldmanAnne E. Goldman
- Cited by
- AgingMolecular BiologyGenetics
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Aging Cell (6 papers)Diabetes (4 papers)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Michael R. Erdos
69 papers receiving 9.8k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Aging 317
- Molecular Biology 7.8k
- Genetics 1.8k
- Cell Biology 774
- Oncology 1.1k
Countries citing papers authored by Michael R. Erdos
This map shows the geographic impact of Michael R. Erdos'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 Michael R. Erdos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael R. Erdos more than expected).
Fields of papers citing papers by Michael R. Erdos
This network shows the impact of papers produced by Michael R. Erdos. 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 Michael R. Erdos. The network helps show where Michael R. Erdos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael R. Erdos, 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 | 2024 | 5 | |
| 2 | 2024 | 5 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 5 | |
| 6 | 2021 | 4 | |
| 7 | 2018 | 35 | |
| 8 | 2017 | 112 | |
| 9 | 2015 | 271 | |
| 10 | 2012 | 239 | |
| 11 | 2011 | 233 | |
| 12 | 2010 | 233 | |
| 13 | 2010 | 136 | |
| 14 | 2008 | 66 | |
| 15 | 2007 | 198 | |
| 16 | Mutant nuclear lamin A leads to progressive alterations of epigenetic control in premature agingbreakdown → | 2006 | 568 |
| 17 | 2005 | 63 | |
| 18 | Recurrent de novo point mutations in lamin A cause Hutchinson–Gilford progeria syndromebreakdown → | 2003 | 1613 |
| 19 | 1999 | 479 | |
| 20 | 1991 | 44 |
About Michael R. Erdos
Michael R. Erdos is a scholar working on Molecular Biology, Genetics and Cell Biology, having authored 72 papers that have together received 10.0k indexed citations. Recurring topics across this work include Nuclear Structure and Function (25 papers), RNA Research and Splicing (20 papers), Genomics and Chromatin Dynamics (15 papers), Epigenetics and DNA Methylation (10 papers), DNA Repair Mechanisms (9 papers), Pancreatic function and diabetes (8 papers), BRCA gene mutations in cancer (7 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Aging (317 citations), Molecular Biology (7.8k citations) and Genetics (1.8k citations). Michael R. Erdos has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Francis S. Collins, Maria Eriksson, Leslie B. Gordon, Kan Cao, Michael Boehnke, Laura J. Scott, Robert D. Goldman, Anne E. Goldman, Dale K. Shumaker and Satya Khuon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Aging Cell, Diabetes, Nature and Nature Methods.
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.