Christopher K. Means
- Molecular Biology top 10%
- Cardiology and Cardiovascular Medicine top 5%
- Cell Biology top 10%
- Pathology and Forensic Medicine
- Cellular and Molecular Neuroscience
- Co-authors
- Joan Heller BrownJohn D. ScottGraeme K. CarnegieJerold ChunHongqiang ChengKirk L. PetersonNancy D. DaltonYusu Gu
- Topics
- Protein Kinase Regulation and GTPase Signaling (5 papers)Sphingolipid Metabolism and Signaling (4 papers)Ion channel regulation and function (2 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesNorway
In The Last Decade
Christopher K. Means
11 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 869
- Cardiology and Cardiovascular Medicine 329
- Cell Biology 168
- Pathology and Forensic Medicine 95
- Cellular and Molecular Neuroscience 83
Countries citing papers authored by Christopher K. Means
This map shows the geographic impact of Christopher K. Means'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 Christopher K. Means with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher K. Means more than expected).
Fields of papers citing papers by Christopher K. Means
This network shows the impact of papers produced by Christopher K. Means. 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 Christopher K. Means. The network helps show where Christopher K. Means may publish in the future.
Co-authorship network of co-authors of Christopher K. Means
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher K. Means. A scholar is included among the top collaborators of Christopher K. Means 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 Christopher K. Means. Christopher K. Means is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 42 | |
| 2 | 38 | |
| 3 | Requirement for Ca 2+/calmodulin-dependent kinase II in the transition from pressure overload-induced cardiac hypertrophy to heart failure in mice (Journal of Clinical Investigation (2009) 119, 5, (1230-1240) doi: 10.1172/JCI38022) | 1 |
| 4 | 3 | |
| 5 | 110 | |
| 6 | 293 | |
| 7 | 144 | |
| 8 | 66 | |
| 9 | 194 | |
| 10 | 60 | |
| 11 | 88 |
About Christopher K. Means
Christopher K. Means is a scholar working on Cell Biology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (5 papers), Sphingolipid Metabolism and Signaling (4 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (329 citations), Molecular Biology (869 citations) and Cell Biology (168 citations). Christopher K. Means has collaborated with scholars based in United States and Norway. Frequent co-authors include Joan Heller Brown, John D. Scott, Graeme K. Carnegie, Jerold Chun, Hongqiang Cheng, Kirk L. Peterson, Nancy D. Dalton, Yusu Gu, Tong Zhang and Laëtitia Pereira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.