Enrico Schmidt
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms 6
- Cell Biology top 2%
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 3
- RNA and protein synthesis mechanisms 3
- Mitochondrial Function and Pathology 2
- RNA regulation and disease 2
- Physiology top 5%
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- Parkinson's Disease Mechanisms and Treatments 3
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- Immunotherapy and Immune Responses 3
- interferon and immune responses 2
- Co-authors
- Philippe PierreGiovanna ClavarinoRalf BaumeisterJohn W. FreyDanielle MabreyCraig A. GoodmanTroy A. HornbergerKlaus‐Dieter Scharf
- Cited by
- AgingCell BiologyMolecular Biology
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Enrico Schmidt
24 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Aging 357
- Cell Biology 699
- Molecular Biology 2.2k
- Cellular and Molecular Neuroscience 480
- Physiology 485
Countries citing papers authored by Enrico Schmidt
This map shows the geographic impact of Enrico Schmidt'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 Enrico Schmidt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enrico Schmidt more than expected).
Fields of papers citing papers by Enrico Schmidt
This network shows the impact of papers produced by Enrico Schmidt. 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 Enrico Schmidt. The network helps show where Enrico Schmidt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Enrico Schmidt, 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 | 2014 | 8 | |
| 2 | 2012 | 148 | |
| 3 | 2012 | 94 | |
| 4 | 2011 | 12 | |
| 5 | 2010 | 390 | |
| 6 | SUnSET, a nonradioactive method to monitor protein synthesisbreakdown → | 2009 | 1168 |
| 7 | 2009 | 153 | |
| 8 | 2009 | 3 | |
| 9 | 2009 | 38 | |
| 10 | 2007 | 29 | |
| 11 | 2007 | 15 | |
| 12 | 2006 | 9 | |
| 13 | 2005 | 89 | |
| 14 | 2004 | 46 | |
| 15 | 2001 | 87 | |
| 16 | 2001 | 45 | |
| 17 | 2000 | 60 | |
| 18 | 2000 | 300 | |
| 19 | 1998 | 61 | |
| 20 | 1998 | 208 |
About Enrico Schmidt
Enrico Schmidt is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology, having authored 24 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Immunotherapy and Immune Responses (3 papers), RNA and protein synthesis mechanisms (3 papers), interferon and immune responses (2 papers), Mitochondrial Function and Pathology (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Aging (357 citations), Cell Biology (699 citations) and Molecular Biology (2.2k citations). Enrico Schmidt has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Philippe Pierre, Giovanna Clavarino, Ralf Baumeister, John W. Frey, Danielle Mabrey, Craig A. Goodman, Troy A. Hornberger, Klaus‐Dieter Scharf, Ruth Lyck and Kazunori Kitagawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell 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.