Tomasz Blazejewski
Impact in
- Parasitology top 10%
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- Microbial Metabolic Engineering and Bioproduction
- Gut microbiota and health
- CRISPR and Genetic Engineering
- Gene Regulatory Network Analysis
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
Papers in
-
- CRISPR and Genetic Engineering 2
- Gene Regulatory Network Analysis 2
- Genomics and Phylogenetic Studies 1
- Microbial Metabolic Engineering and Bioproduction 1
- Metabolomics and Mass Spectrometry Studies 1
- RNA and protein synthesis mechanisms 1
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- Toxoplasma gondii Research Studies 1
- Co-authors
- Harris H. Wang (7 shared papers)Nathan I Johns (2 shared papers)Antonio L. C. Gomes (2 shared papers)Hsing‐I Ho (1 shared paper)Andrew Jay Kaufman (1 shared paper)Ravi U. Sheth (1 shared paper)Shijie Zhao (1 shared paper)Yiwei Sun (1 shared paper)
- Journals
- Science (2 papers)Nature Biotechnology (1 paper)Current Opinion in Microbiology (1 paper)Bioinformatics (1 paper)mBio (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Tomasz Blazejewski
6 papers receiving 631 citations
Tomasz Blazejewski's Hit Papers
Peers
Comparison fields: 5 of 88
- Parasitology 44
- Molecular Biology 377
- Ecology 122
- Biotechnology 37
- Pollution 37
Countries citing papers authored by Tomasz Blazejewski
This map shows the geographic impact of Tomasz Blazejewski'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 Tomasz Blazejewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomasz Blazejewski more than expected).
Fields of papers citing papers by Tomasz Blazejewski
This network shows the impact of papers produced by Tomasz Blazejewski. 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 Tomasz Blazejewski. The network helps show where Tomasz Blazejewski may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomasz Blazejewski, 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 | 2016 | 244 | |
| 2 | High-throughput microbial culturomics using automation and machine learning Hit paper breakdown → | 2023 | 191 |
| 3 | 2018 | 78 | |
| 4 | 2015 | 69 | |
| 5 | 2019 | 57 | |
| 6 | 2024 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2026 | 0 |
About Tomasz Blazejewski
Tomasz Blazejewski is a scholar working on Molecular Biology, Parasitology, Ecology, Genetics and Insect Science, having authored 8 papers that have together received 640 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (2 papers), Gene Regulatory Network Analysis (2 papers), Genomics and Phylogenetic Studies (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Toxoplasma gondii Research Studies (1 paper), Bacterial Genetics and Biotechnology (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Parasitology (44 citations), Molecular Biology (377 citations), Ecology (122 citations), Biotechnology (37 citations) and Pollution (37 citations). Tomasz Blazejewski has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Harris H. Wang, Nathan I Johns, Antonio L. C. Gomes, Hsing‐I Ho, Andrew Jay Kaufman, Ravi U. Sheth, Shijie Zhao, Yiwei Sun, Yiming Huang and Carlotta Ronda. Their work appears in journals such as Science, Nature Biotechnology, Current Opinion in Microbiology, Bioinformatics and mBio.
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.