Michael Schächter
- Molecular Biology top 10%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 5%
- Physiology top 5%
- Co-authors
- Alun D. HughesPeter S. SeverS. WijetungeChristian AalkjærMahendra K. PatelGerard F. ClunnPeter SeverKevin M. O’Shaughnessy
- Topics
- Lipoproteins and Cardiovascular Health (12 papers)Nitric Oxide and Endothelin Effects (11 papers)Receptor Mechanisms and Signaling (9 papers)
- Journals
- The LancetCirculationDiabetes Care
- Partner nations
- United KingdomCanadaUnited States
In The Last Decade
Michael Schächter
117 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Molecular Biology 1.0k
- Surgery 925
- Cardiology and Cardiovascular Medicine 568
- Cellular and Molecular Neuroscience 481
- Physiology 423
Countries citing papers authored by Michael Schächter
This map shows the geographic impact of Michael Schächter'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 Schächter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Schächter more than expected).
Fields of papers citing papers by Michael Schächter
This network shows the impact of papers produced by Michael Schächter. 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 Schächter. The network helps show where Michael Schächter may publish in the future.
Co-authorship network of co-authors of Michael Schächter
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Schächter. A scholar is included among the top collaborators of Michael Schächter 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 Michael Schächter. Michael Schächter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 6 | |
| 3 | 50 | |
| 4 | Chemical, pharmacokinetic and pharmacodynamic properties of statins: an updatebreakdown → | 941 |
| 5 | 14 | |
| 6 | A randomized intervention to improve ongoing participation in mammography. | 26 |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 51 | |
| 10 | 25 | |
| 11 | 46 | |
| 12 | 7 | |
| 13 | 12 | |
| 14 | 16 | |
| 15 | 76 | |
| 16 | 49 | |
| 17 | 11 | |
| 18 | 2 | |
| 19 | 69 | |
| 20 | 12 |
About Michael Schächter
Michael Schächter is a scholar working on Nephrology, Biochemistry and Cardiology and Cardiovascular Medicine, having authored 119 papers that have together received 3.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Nitric Oxide and Endothelin Effects (11 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Nephrology (218 citations), Cellular and Molecular Neuroscience (481 citations) and Cardiology and Cardiovascular Medicine (568 citations). Michael Schächter has collaborated with scholars based in United Kingdom, Canada and United States. Frequent co-authors include Alun D. Hughes, Peter S. Sever, S. Wijetunge, Christian Aalkjær, Mahendra K. Patel, Gerard F. Clunn, Peter Sever, Kevin M. O’Shaughnessy, Andrew Green and Jennifer Calder. Their work appears in journals such as The Lancet, Circulation and Diabetes Care.
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.