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
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
- Cancer-related gene regulation 2
- Enzyme function and inhibition 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Ailong Ke (4 shared papers)Fang Ding (2 shared papers)Xin Liu (3 shared papers)Xin Yang (2 shared papers)Eva Nogales (1 shared paper)J. Scott Butler (1 shared paper)Taekjip Ha (1 shared paper)Hongwei Wang (1 shared paper)
- Journals
- Journal of Biological Chemistry (2 papers)Communications Chemistry (1 paper)Cell Reports (1 paper)Blood (1 paper)Neuron (1 paper)
- Partner nations
- United StatesBoliviaHong Kong
In The Last Decade
Matthew Bratkowski
11 papers receiving 429 citations
Peers
Comparison fields: 5 of 67
- Structural Biology 20
- Geriatrics and Gerontology 37
- Physiology 37
- Molecular Biology 315
- 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 | 90 | |
| 2 | 2020 | 89 | |
| 3 | 2012 | 56 | |
| 4 | 2013 | 47 | |
| 5 | 2022 | 43 | |
| 6 | 2018 | 31 | |
| 7 | 2024 | 26 | |
| 8 | 2011 | 21 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2023 | 3 | |
| 12 | 2023 | 0 | |
| 13 | 2024 | 0 |
About Matthew Bratkowski
Matthew Bratkowski is a scholar working on Molecular Biology, Genetics, Hematology, Surgery and Structural Biology, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), RNA Research and Splicing (3 papers), Epigenetics and DNA Methylation (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer-related gene regulation (2 papers), Platelet Disorders and Treatments (2 papers) and Enzyme function and inhibition (1 paper). The work is most often cited by research in Structural Biology (20 citations), Geriatrics and Gerontology (37 citations), Physiology (37 citations), Molecular Biology (315 citations) and Aging (6 citations). Matthew Bratkowski has collaborated with scholars based in United States, Bolivia and Hong Kong. Frequent co-authors include Ailong Ke, Fang Ding, Xin Liu, Xin Yang, Eva Nogales, J. Scott Butler, Taekjip Ha, Hongwei Wang, Gwangrog Lee and Kevin P. Callahan. Their work appears in journals such as Journal of Biological Chemistry, Communications Chemistry, Cell Reports, Blood and Neuron.
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.