Enrico Schmidt
- Molecular Biology top 5%
- Cell Biology top 2%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Aging top 0.5%
- Co-authors
- Philippe PierreGiovanna ClavarinoRalf BaumeisterJohn W. FreyDanielle MabreyCraig A. GoodmanTroy A. HornbergerKlaus‐Dieter Scharf
- Topics
- 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)
- Cited by
- AgingCell BiologyMolecular Biology
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Cell Biology
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Enrico Schmidt
24 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.2k
- Cell Biology 699
- Physiology 485
- Cellular and Molecular Neuroscience 480
- Aging 357
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 of co-authors of Enrico Schmidt
This figure shows the co-authorship network connecting the top 25 collaborators of Enrico Schmidt. A scholar is included among the top collaborators of Enrico Schmidt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Enrico Schmidt. Enrico Schmidt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 148 | |
| 3 | 94 | |
| 4 | 12 | |
| 5 | 390 | |
| 6 | SUnSET, a nonradioactive method to monitor protein synthesisbreakdown → | 1168 |
| 7 | 153 | |
| 8 | 3 | |
| 9 | 38 | |
| 10 | 29 | |
| 11 | 15 | |
| 12 | 9 | |
| 13 | 89 | |
| 14 | 46 | |
| 15 | 87 | |
| 16 | 45 | |
| 17 | 60 | |
| 18 | 300 | |
| 19 | 61 | |
| 20 | 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) and Protein Kinase Regulation and GTPase Signaling (3 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.