Sayem Miah
Impact in
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- Histone Deacetylase Inhibitors Research
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- Genomics and Chromatin Dynamics
- Protein Degradation and Inhibitors
- Melanoma and MAPK Pathways
Papers in
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- Ubiquitin and proteasome pathways 6
- Histone Deacetylase Inhibitors Research 5
- Protein Degradation and Inhibitors 2
- Melanoma and MAPK Pathways 2
- Epigenetics and DNA Methylation 2
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- Microtubule and mitosis dynamics 2
- Co-authors
- Kiven Erique Lukong (9 shared papers)Michael P. Washburn (8 shared papers)Charles A.S. Banks (8 shared papers)Laurence Florens (6 shared papers)Janet L. Thornton (4 shared papers)Raghuveera Kumar Goel (5 shared papers)Edward T. Bagu (5 shared papers)Khan A. Wahid (1 shared paper)
- Journals
- PLoS ONE (3 papers)Molecular & Cellular Proteomics (2 papers)Oncotarget (2 papers)Scientific Reports (1 paper)Oncogenesis (1 paper)
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Sayem Miah
21 papers receiving 341 citations
Peers
Comparison fields: 5 of 76
- Aging 7
- Molecular Biology 248
- Cancer Research 43
- Oncology 64
- Cell Biology 29
Countries citing papers authored by Sayem Miah
This map shows the geographic impact of Sayem Miah'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 Sayem Miah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayem Miah more than expected).
Fields of papers citing papers by Sayem Miah
This network shows the impact of papers produced by Sayem Miah. 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 Sayem Miah. The network helps show where Sayem Miah may publish in the future.
Co-authors
The 25 scholars most cited alongside Sayem Miah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 34 | |
| 2 | 2018 | 30 | |
| 3 | 2020 | 29 | |
| 4 | 2018 | 25 | |
| 5 | 2013 | 23 | |
| 6 | 2020 | 23 | |
| 7 | 2019 | 22 | |
| 8 | 2016 | 19 | |
| 9 | 2012 | 19 | |
| 10 | 2009 | 19 | |
| 11 | 2014 | 16 | |
| 12 | 2021 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2023 | 11 | |
| 16 | 2017 | 10 | |
| 17 | 2010 | 9 | |
| 18 | 2012 | 7 | |
| 19 | Design And Implementation Of Cost Effective Inverter | 2017 | 2 |
| 20 | 2021 | 2 |
About Sayem Miah
Sayem Miah is a scholar working on Molecular Biology, Cell Biology, Oncology, Cancer Research and Surgery, having authored 21 papers that have together received 341 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Histone Deacetylase Inhibitors Research (5 papers), HER2/EGFR in Cancer Research (3 papers), Protein Degradation and Inhibitors (2 papers), Melanoma and MAPK Pathways (2 papers), Cancer, Lipids, and Metabolism (2 papers), Epigenetics and DNA Methylation (2 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Aging (7 citations), Molecular Biology (248 citations), Cancer Research (43 citations), Oncology (64 citations) and Cell Biology (29 citations). Sayem Miah has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Kiven Erique Lukong, Michael P. Washburn, Charles A.S. Banks, Laurence Florens, Janet L. Thornton, Raghuveera Kumar Goel, Edward T. Bagu, Khan A. Wahid, Alexandre Martin and Keith Bonham. Their work appears in journals such as PLoS ONE, Molecular & Cellular Proteomics, Oncotarget, Scientific Reports and Oncogenesis.
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.