Marcin Grabowicz
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
- Genetics 23
- Bacterial Genetics and Biotechnology 22
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- RNA and protein synthesis mechanisms 15
- Protein Structure and Dynamics 3
- Co-authors
- Thomas J. Silhavy (10 shared papers)Abiodun D. Ogunniyi (2 shared papers)James C. Paton (2 shared papers)David E. Briles (1 shared paper)Daniel Kahne (5 shared papers)Kerrie L. May (10 shared papers)Carl J. Balibar (2 shared papers)Natividad Ruiz (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (8 papers)mBio (5 papers)Journal of Bacteriology (4 papers)Microbiology (2 papers)FEMS Microbiology Ecology (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Marcin Grabowicz
31 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Molecular Medicine 343
- Endocrinology 195
- Microbiology 193
- Genetics 497
- Epidemiology 258
Countries citing papers authored by Marcin Grabowicz
This map shows the geographic impact of Marcin Grabowicz'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 Marcin Grabowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Grabowicz more than expected).
Fields of papers citing papers by Marcin Grabowicz
This network shows the impact of papers produced by Marcin Grabowicz. 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 Marcin Grabowicz. The network helps show where Marcin Grabowicz may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Grabowicz, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 165 | |
| 2 | 2008 | 108 | |
| 3 | 2016 | 108 | |
| 4 | 2017 | 95 | |
| 5 | 2016 | 80 | |
| 6 | 2014 | 76 | |
| 7 | 2019 | 68 | |
| 8 | 2019 | 58 | |
| 9 | 2009 | 58 | |
| 10 | 2016 | 54 | |
| 11 | 2018 | 53 | |
| 12 | 2018 | 49 | |
| 13 | 2019 | 40 | |
| 14 | 2015 | 38 | |
| 15 | 2013 | 33 | |
| 16 | 2018 | 32 | |
| 17 | 2020 | 28 | |
| 18 | 2014 | 23 | |
| 19 | 2023 | 14 | |
| 20 | 2019 | 11 |
About Marcin Grabowicz
Marcin Grabowicz is a scholar working on Genetics, Molecular Biology, Molecular Medicine, Endocrinology and Ecology, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (22 papers), RNA and protein synthesis mechanisms (15 papers), Antibiotic Resistance in Bacteria (11 papers), Escherichia coli research studies (6 papers), Bacteriophages and microbial interactions (4 papers), Protein Structure and Dynamics (3 papers), Bacterial Infections and Vaccines (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Molecular Medicine (343 citations), Endocrinology (195 citations), Microbiology (193 citations), Genetics (497 citations) and Epidemiology (258 citations). Marcin Grabowicz has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Thomas J. Silhavy, Abiodun D. Ogunniyi, James C. Paton, David E. Briles, Daniel Kahne, Kerrie L. May, Carl J. Balibar, Natividad Ruiz, David Gordon and G. Malojcic. Their work appears in journals such as Proceedings of the National Academy of Sciences, mBio, Journal of Bacteriology, Microbiology and FEMS Microbiology Ecology.
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.