Mihael H. Polymeropoulos
- Neurology top 0.05%
- Parkinson's Disease Mechanisms and Treatments 13
- Cellular and Molecular Neuroscience top 0.2%
- Nuclear Receptors and Signaling 10
- Neurology top 0.2%
- Parkinson's Disease Mechanisms and Treatments 13
- Physiology top 0.5%
- Molecular Biology top 0.5%
- DNA Repair Mechanisms 15
- DNA and Nucleic Acid Chemistry 11
- RNA modifications and cancer 11
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- Genetics and Neurodevelopmental Disorders 16
- Genomic variations and chromosomal abnormalities 9
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- Circadian rhythm and melatonin 13
- Co-authors
- Christian LavedanSusan IdeCarl R. MerrilRobert L. NussbaumAnindya DehejiaElisabeth LeroyLawrence I. GolbeEdward S. Stenroos
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Mihael H. Polymeropoulos
141 papers receiving 14.1k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Neurology 6.3k
- Cellular and Molecular Neuroscience 3.9k
- Neurology 1.7k
- Physiology 2.4k
- Molecular Biology 6.0k
Countries citing papers authored by Mihael H. Polymeropoulos
This map shows the geographic impact of Mihael H. Polymeropoulos'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 Mihael H. Polymeropoulos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mihael H. Polymeropoulos more than expected).
Fields of papers citing papers by Mihael H. Polymeropoulos
This network shows the impact of papers produced by Mihael H. Polymeropoulos. 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 Mihael H. Polymeropoulos. The network helps show where Mihael H. Polymeropoulos may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mihael H. Polymeropoulos, 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 | 2022 | 3 | |
| 2 | 2021 | 9 | |
| 3 | 2021 | 20 | |
| 4 | 2008 | 160 | |
| 5 | Gene expression profiling detects gene amplification and differentiates tumor types in breast cancer. | 2003 | 83 |
| 6 | 2000 | 224 | |
| 7 | 2000 | 50 | |
| 8 | 1998 | 144 | |
| 9 | 1997 | 7 | |
| 10 | 1997 | 0 | |
| 11 | 1997 | 7 | |
| 12 | 1997 | 1 | |
| 13 | 1993 | 10 | |
| 14 | 1992 | 8 | |
| 15 | 1992 | 40 | |
| 16 | 1992 | 1 | |
| 17 | 1991 | 3 | |
| 18 | 1991 | 14 | |
| 19 | 1990 | 7 | |
| 20 | 1990 | 25 |
About Mihael H. Polymeropoulos
Mihael H. Polymeropoulos is a scholar working on Endocrine and Autonomic Systems, Genetics and Clinical Biochemistry, having authored 145 papers that have together received 14.5k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (16 papers), DNA Repair Mechanisms (15 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Circadian rhythm and melatonin (13 papers), DNA and Nucleic Acid Chemistry (11 papers), RNA modifications and cancer (11 papers), Nuclear Receptors and Signaling (10 papers) and Genomic variations and chromosomal abnormalities (9 papers). The work is most often cited by research in Neurology (6.3k citations), Cellular and Molecular Neuroscience (3.9k citations) and Neurology (1.7k citations). Mihael H. Polymeropoulos has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Christian Lavedan, Susan Ide, Carl R. Merril, Robert L. Nussbaum, Anindya Dehejia, Elisabeth Leroy, Lawrence I. Golbe, Edward S. Stenroos, Roger C. Duvoisin and Giuseppe Di Iorio. Their work appears in journals such as Science, The Lancet and Nucleic Acids Research.
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.