Michael T. Kirber
- Molecular Biology top 10%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Immunology top 10%
- Co-authors
- John V. WalshJoshua J. SingerYu YangHui XiaoJohn F. KeaneyKai ChenRichard W. OrdwayRei Shibata
- Topics
- Ion channel regulation and function (11 papers)Cardiac electrophysiology and arrhythmias (5 papers)Neuroscience and Neuropharmacology Research (5 papers)
- Partner nations
- United StatesSlovakiaUnited Kingdom
In The Last Decade
Michael T. Kirber
32 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.0k
- Physiology 573
- Cellular and Molecular Neuroscience 355
- Cardiology and Cardiovascular Medicine 354
- Immunology 350
Countries citing papers authored by Michael T. Kirber
This map shows the geographic impact of Michael T. Kirber'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 T. Kirber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Kirber more than expected).
Fields of papers citing papers by Michael T. Kirber
This network shows the impact of papers produced by Michael T. Kirber. 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 T. Kirber. The network helps show where Michael T. Kirber may publish in the future.
Co-authorship network of co-authors of Michael T. Kirber
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Kirber. A scholar is included among the top collaborators of Michael T. Kirber 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 T. Kirber. Michael T. Kirber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 76 | |
| 5 | 31 | |
| 6 | 30 | |
| 7 | 28 | |
| 8 | Abstract 3378: IL-33 Translocates to the Nucleus and Has NF-kB Transcriptional Repressor Function Following Treatment with IL-1beta in Human Endothelial Cells | 2 |
| 9 | 24 | |
| 10 | 47 | |
| 11 | 15 | |
| 12 | 88 | |
| 13 | 33 | |
| 14 | 47 | |
| 15 | 39 | |
| 16 | 34 | |
| 17 | 85 | |
| 18 | 165 | |
| 19 | 33 | |
| 20 | 172 |
About Michael T. Kirber
Michael T. Kirber is a scholar working on Microbiology, Sensory Systems and Structural Biology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (11 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Sensory Systems (135 citations), Physiology (573 citations) and Cellular and Molecular Neuroscience (355 citations). Michael T. Kirber has collaborated with scholars based in United States, Slovakia and United Kingdom. Frequent co-authors include John V. Walsh, Joshua J. Singer, Yu Yang, Hui Xiao, John F. Keaney, Kai Chen, Richard W. Ordway, Rei Shibata, Yukihiro Takemura and Noriyuki Ouchi. Their work appears in journals such as Journal of Biological Chemistry, Circulation 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.