Inês Chen
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
- Bacterial Infections and Vaccines
Papers in
-
- RNA and protein synthesis mechanisms 3
- Ecology 6
- Bacteriophages and microbial interactions 6
- Co-authors
- David Dubnau (6 shared papers)Peter J. Christie (1 shared paper)Roberta Provvedi (3 shared papers)E C Gotschlich (1 shared paper)Tie Chen (4 shared papers)Silvia Bolland (3 shared papers)Berenike Maier (1 shared paper)Michael P. Sheetz (1 shared paper)
- Journals
- Nature Structural & Molecular Biology (9 papers)Journal of Biological Chemistry (3 papers)Infection and Immunity (2 papers)Journal of Leukocyte Biology (1 paper)Molecular Microbiology (1 paper)
- Partner nations
- United StatesGermanyItaly
In The Last Decade
Inês Chen
23 papers receiving 1.5k citations
Inês Chen's Hit Papers
Peers
Comparison fields: 5 of 96
- Molecular Medicine 194
- Microbiology 222
- Endocrinology 172
- Genetics 616
- Ecology 516
Countries citing papers authored by Inês Chen
This map shows the geographic impact of Inês Chen'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 Inês Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Inês Chen more than expected).
Fields of papers citing papers by Inês Chen
This network shows the impact of papers produced by Inês Chen. 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 Inês Chen. The network helps show where Inês Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Inês Chen, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA uptake during bacterial transformation Hit paper breakdown → | 2004 | 569 |
| 2 | 2005 | 356 | |
| 3 | 2006 | 90 | |
| 4 | 2004 | 89 | |
| 5 | 2002 | 80 | |
| 6 | 2005 | 69 | |
| 7 | 2001 | 68 | |
| 8 | 2001 | 61 | |
| 9 | 2001 | 54 | |
| 10 | 2001 | 50 | |
| 11 | 1998 | 24 | |
| 12 | 2004 | 16 | |
| 13 | 2013 | 4 | |
| 14 | 2019 | 3 | |
| 15 | 2007 | 3 | |
| 16 | 1998 | 3 | |
| 17 | 2010 | 2 | |
| 18 | 2015 | 1 | |
| 19 | 2016 | 1 | |
| 20 | 2009 | 1 |
About Inês Chen
Inês Chen is a scholar working on Molecular Biology, Ecology, Genetics, Microbiology and Oncology, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (6 papers), Bacterial Infections and Vaccines (5 papers), RNA and protein synthesis mechanisms (3 papers), Peptidase Inhibition and Analysis (3 papers), Microtubule and mitosis dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (194 citations), Microbiology (222 citations), Endocrinology (172 citations), Genetics (616 citations) and Ecology (516 citations). Inês Chen has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include David Dubnau, Peter J. Christie, Roberta Provvedi, E C Gotschlich, Tie Chen, Silvia Bolland, Berenike Maier, Michael P. Sheetz, J. Brandon Parker and Wolfgang Zimmermann. Their work appears in journals such as Nature Structural & Molecular Biology, Journal of Biological Chemistry, Infection and Immunity, Journal of Leukocyte Biology and Molecular Microbiology.
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.