Chris Sereduk
Impact in
- Hematology top 10%
- Multiple Myeloma Research and Treatments
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- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA Research and Splicing
Papers in
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 3
- Viral Infectious Diseases and Gene Expression in Insects 2
- Molecular Biology Techniques and Applications 2
- RNA Research and Splicing 2
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- Multiple Myeloma Research and Treatments 4
- Co-authors
- Hongwei Yin (8 shared papers)Jessica Schmidt (4 shared papers)A. Keith Stewart (4 shared papers)Spyro Mousses (3 shared papers)Rodger E. Tiedemann (3 shared papers)Shi Chang (1 shared paper)Esteban Braggio (2 shared papers)Chantal Garand (2 shared papers)
- Journals
- Blood (3 papers)Cancer Research (2 papers)Oncotarget (2 papers)IEEE Transactions on Automation Science and Engineering (1 paper)Cancer Science (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Chris Sereduk
11 papers receiving 344 citations
Peers
Comparison fields: 5 of 50
- Hematology 77
- Molecular Biology 261
- Cancer Research 49
- Oncology 73
- Pathology and Forensic Medicine 33
Countries citing papers authored by Chris Sereduk
This map shows the geographic impact of Chris Sereduk'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 Chris Sereduk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chris Sereduk more than expected).
Fields of papers citing papers by Chris Sereduk
This network shows the impact of papers produced by Chris Sereduk. 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 Chris Sereduk. The network helps show where Chris Sereduk may publish in the future.
Co-authors
The 25 scholars most cited alongside Chris Sereduk, 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 | 2011 | 108 | |
| 2 | 2011 | 81 | |
| 3 | 2011 | 49 | |
| 4 | 2015 | 44 | |
| 5 | 2011 | 28 | |
| 6 | 2014 | 18 | |
| 7 | 2023 | 7 | |
| 8 | 2017 | 6 | |
| 9 | 2018 | 3 | |
| 10 | 2017 | 2 | |
| 11 | 2009 | 1 |
About Chris Sereduk
Chris Sereduk is a scholar working on Molecular Biology, Hematology, Computational Theory and Mathematics, Pathology and Forensic Medicine and Oncology, having authored 11 papers that have together received 347 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Computational Drug Discovery Methods (2 papers), Molecular Biology Techniques and Applications (2 papers), RNA Research and Splicing (2 papers) and Cancer Mechanisms and Therapy (1 paper). The work is most often cited by research in Hematology (77 citations), Molecular Biology (261 citations), Cancer Research (49 citations), Oncology (73 citations) and Pathology and Forensic Medicine (33 citations). Chris Sereduk has collaborated with scholars based in United States and Canada. Frequent co-authors include Hongwei Yin, Jessica Schmidt, A. Keith Stewart, Spyro Mousses, Rodger E. Tiedemann, Shi Chang, Esteban Braggio, Chantal Garand, Laura A. Bruins and Yuan Xiao Zhu. Their work appears in journals such as Blood, Cancer Research, Oncotarget, IEEE Transactions on Automation Science and Engineering and Cancer Science.
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.