Michael Kyba
- Molecular Biology top 0.5%
- Muscle Physiology and Disorders 60
- Pluripotent Stem Cells Research 58
- Congenital heart defects research 28
- CRISPR and Genetic Engineering 20
- Epigenetics and DNA Methylation 20
- RNA Research and Splicing 18
- Genetics top 0.5%
- Aging top 2%
- Cell Biology top 0.5%
- Zebrafish Biomedical Research Applications 25
- Cancer Research top 1%
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- Tissue Engineering and Regenerative Medicine 28
- Co-authors
- Rita C. R. PerlingeiroGeorge Q. DaleyDarko BosnakovskiMichelina IacovinoRadbod DarabiRobert W. ArpkeJonathan M. GraffHugh W. Brock
- Cited by
- Molecular BiologyGeneticsAging
- Partner nations
- United StatesCanadaNorth Macedonia
In The Last Decade
Michael Kyba
171 papers receiving 11.9k citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Molecular Biology 9.8k
- Genetics 1.4k
- Aging 151
- Cell Biology 1.4k
- Cancer Research 1.2k
Countries citing papers authored by Michael Kyba
This map shows the geographic impact of Michael Kyba'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 Kyba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kyba more than expected).
Fields of papers citing papers by Michael Kyba
This network shows the impact of papers produced by Michael Kyba. 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 Kyba. The network helps show where Michael Kyba may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Kyba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 15 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 6 | |
| 7 | 2018 | 32 | |
| 8 | 2017 | 23 | |
| 9 | 2017 | 36 | |
| 10 | 2016 | 36 | |
| 11 | 2016 | 13 | |
| 12 | Abstract 15783: Lineage Reprogramming of Mouse Fibroblasts to Proliferative and Multipotent Induced Cardiac Progenitor Cells by Defined Factors | 2014 | 1 |
| 13 | 2013 | 16 | |
| 14 | 2013 | 1 | |
| 15 | 2013 | 52 | |
| 16 | 2012 | 98 | |
| 17 | 2012 | 53 | |
| 18 | White Fat Progenitor Cells Reside in the Adipose Vasculaturebreakdown → | 2008 | 866 |
| 19 | 2006 | 265 | |
| 20 | 2002 | 268 |
About Michael Kyba
Michael Kyba is a scholar working on Molecular Biology, Aging and Cell Biology, having authored 173 papers that have together received 12.0k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (60 papers), Pluripotent Stem Cells Research (58 papers), Tissue Engineering and Regenerative Medicine (28 papers), Congenital heart defects research (28 papers), Zebrafish Biomedical Research Applications (25 papers), CRISPR and Genetic Engineering (20 papers), Epigenetics and DNA Methylation (20 papers) and RNA Research and Splicing (18 papers). The work is most often cited by research in Molecular Biology (9.8k citations), Genetics (1.4k citations) and Aging (151 citations). Michael Kyba has collaborated with scholars based in United States, Canada and North Macedonia. Frequent co-authors include Rita C. R. Perlingeiro, George Q. Daley, Darko Bosnakovski, Michelina Iacovino, Radbod Darabi, Robert W. Arpke, Jonathan M. Graff, Hugh W. Brock, Robert E. Hammer and Daniel Zeve. Their work appears in journals such as Stem Cells, Blood, Development, Nature Communications and Cell stem cell.
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.