Matthew Bratkowski
Impact in
- Structural Biology top 10%
- Geriatrics and Gerontology top 10%
- Sirtuins and Resveratrol in Medicine
Papers in
-
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 2
- Signaling Pathways in Disease 1
- Histone Deacetylase Inhibitors Research 1
- Surgery 1
- Pancreatic function and diabetes 1
- Co-authors
- Ailong Ke (4 shared papers)Fang Ding (2 shared papers)Xin Liu (3 shared papers)Xin Yang (2 shared papers)Jianjun Wang (1 shared paper)J. Scott Butler (1 shared paper)Gwangrog Lee (1 shared paper)Hongwei Wang (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Scientific Reports (1 paper)Science (1 paper)Nature Communications (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesHong KongSouth Korea
In The Last Decade
Matthew Bratkowski
11 papers receiving 410 citations
Peers
Comparison fields: 5 of 67
- Structural Biology 18
- Geriatrics and Gerontology 35
- Physiology 36
- Molecular Biology 309
- Aging 6
Countries citing papers authored by Matthew Bratkowski
This map shows the geographic impact of Matthew Bratkowski'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 Matthew Bratkowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Bratkowski more than expected).
Fields of papers citing papers by Matthew Bratkowski
This network shows the impact of papers produced by Matthew Bratkowski. 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 Matthew Bratkowski. The network helps show where Matthew Bratkowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew Bratkowski, 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 | 2007 | 88 | |
| 2 | 2020 | 86 | |
| 3 | 2012 | 55 | |
| 4 | 2013 | 47 | |
| 5 | 2022 | 40 | |
| 6 | 2018 | 29 | |
| 7 | 2011 | 21 | |
| 8 | 2024 | 20 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2023 | 2 |
About Matthew Bratkowski
Matthew Bratkowski is a scholar working on Molecular Biology, Surgery, Structural Biology, Ecology and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 414 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Cancer-related gene regulation (2 papers), Pancreatic function and diabetes (1 paper), Signaling Pathways in Disease (1 paper) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Structural Biology (18 citations), Geriatrics and Gerontology (35 citations), Physiology (36 citations), Molecular Biology (309 citations) and Aging (6 citations). Matthew Bratkowski has collaborated with scholars based in United States, Hong Kong and South Korea. Frequent co-authors include Ailong Ke, Fang Ding, Xin Liu, Xin Yang, Jianjun Wang, J. Scott Butler, Gwangrog Lee, Hongwei Wang, Kevin P. Callahan and Taekjip Ha. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Science, Nature Communications and Nature Structural & Molecular Biology.
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.