Carsten Schmitz‐Peiffer
- Molecular Biology top 5%
- Physiology top 2%
- Surgery top 5%
- Epidemiology top 5%
- Cell Biology top 2%
- Co-authors
- Trevor J. BidenEdward W. KraegenLisa SelbieDonald J. ChisholmNicholas D. OakesRosanna CazzolliAllan WatkinsonJonathan P. Whitehead
- Topics
- Metabolism, Diabetes, and Cancer (30 papers)Protein Kinase Regulation and GTPase Signaling (20 papers)Adipose Tissue and Metabolism (15 papers)
- Cited by
- PhysiologyBiochemistryCell Biology
- Partner nations
- AustraliaUnited StatesNorway
In The Last Decade
Carsten Schmitz‐Peiffer
51 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Molecular Biology 2.1k
- Physiology 1.3k
- Surgery 581
- Epidemiology 545
- Cell Biology 521
Countries citing papers authored by Carsten Schmitz‐Peiffer
This map shows the geographic impact of Carsten Schmitz‐Peiffer'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 Carsten Schmitz‐Peiffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carsten Schmitz‐Peiffer more than expected).
Fields of papers citing papers by Carsten Schmitz‐Peiffer
This network shows the impact of papers produced by Carsten Schmitz‐Peiffer. 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 Carsten Schmitz‐Peiffer. The network helps show where Carsten Schmitz‐Peiffer may publish in the future.
Co-authorship network of co-authors of Carsten Schmitz‐Peiffer
This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Schmitz‐Peiffer. A scholar is included among the top collaborators of Carsten Schmitz‐Peiffer 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 Carsten Schmitz‐Peiffer. Carsten Schmitz‐Peiffer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 45 | |
| 6 | 72 | |
| 7 | 20 | |
| 8 | 22 | |
| 9 | 37 | |
| 10 | 61 | |
| 11 | 49 | |
| 12 | 49 | |
| 13 | 18 | |
| 14 | 45 | |
| 15 | 73 | |
| 16 | 71 | |
| 17 | 210 | |
| 18 | Ceramide Generation Is Sufficient to Account for the Inhibition of the Insulin-stimulated PKB Pathway in C2C12 Skeletal Muscle Cells Pretreated with Palmitatebreakdown → | 508 |
| 19 | 32 | |
| 20 | 33 |
About Carsten Schmitz‐Peiffer
Carsten Schmitz‐Peiffer is a scholar working on Molecular Biology, Physiology and Aging, having authored 54 papers that have together received 3.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (30 papers), Protein Kinase Regulation and GTPase Signaling (20 papers) and Adipose Tissue and Metabolism (15 papers). The work is most often cited by research in Physiology (1.3k citations), Biochemistry (309 citations) and Cell Biology (521 citations). Carsten Schmitz‐Peiffer has collaborated with scholars based in Australia, United States and Norway. Frequent co-authors include Trevor J. Biden, Edward W. Kraegen, Lisa Selbie, Donald J. Chisholm, Nicholas D. Oakes, Rosanna Cazzolli, Allan Watkinson, Jonathan P. Whitehead, James G. Burchfield and Lee Carpenter. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.
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.