Ariel Blocker
- Endocrinology top 0.1%
- Escherichia coli research studies 36
- Vibrio bacteria research studies 10
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 4
- Genetics top 1%
- Bacterial Genetics and Biotechnology 26
- Yersinia bacterium, plague, ectoparasites research 4
- Infectious Diseases top 2%
- Clostridium difficile and Clostridium perfringens research 9
- Structural Biology top 5%
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- Bacteriophages and microbial interactions 11
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- Cellular transport and secretion 4
- Co-authors
- Éric LarquetPhilippe SansonettiKaoru KomoriyaPierre GounonClaude ParsotSteven JohnsonShin‐Ichi AizawaAndreas K. J. Veenendaal
- Journals
- Journal of Biological Chemistry (8 papers)Molecular Microbiology (5 papers)Infection and Immunity (4 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Ariel Blocker
55 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 119
- Endocrinology 2.0k
- Molecular Medicine 403
- Genetics 1.7k
- Infectious Diseases 793
- Structural Biology 47
Countries citing papers authored by Ariel Blocker
This map shows the geographic impact of Ariel Blocker'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 Ariel Blocker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Blocker more than expected).
Fields of papers citing papers by Ariel Blocker
This network shows the impact of papers produced by Ariel Blocker. 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 Ariel Blocker. The network helps show where Ariel Blocker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ariel Blocker, 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 | 2017 | 19 | |
| 2 | 2016 | 30 | |
| 3 | 2016 | 10 | |
| 4 | 2014 | 40 | |
| 5 | 2013 | 49 | |
| 6 | 2013 | 94 | |
| 7 | 2012 | 67 | |
| 8 | 2011 | 26 | |
| 9 | 2010 | 64 | |
| 10 | 2009 | 94 | |
| 11 | 2008 | 35 | |
| 12 | 2007 | 129 | |
| 13 | 2006 | 124 | |
| 14 | 2005 | 114 | |
| 15 | 2005 | 130 | |
| 16 | 2003 | 149 | |
| 17 | 2001 | 79 | |
| 18 | 2000 | 13 | |
| 19 | 1996 | 68 | |
| 20 | 1994 | 64 |
About Ariel Blocker
Ariel Blocker is a scholar working on Endocrinology, Genetics, Applied Microbiology and Biotechnology, Molecular Medicine and Structural Biology, having authored 55 papers that have together received 3.7k indexed citations. Recurring topics across this work include Escherichia coli research studies (36 papers), Bacterial Genetics and Biotechnology (26 papers), Bacteriophages and microbial interactions (11 papers), Vibrio bacteria research studies (10 papers), Clostridium difficile and Clostridium perfringens research (9 papers), Cellular transport and secretion (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Yersinia bacterium, plague, ectoparasites research (4 papers). The work is most often cited by research in Endocrinology (2.0k citations), Molecular Medicine (403 citations), Genetics (1.7k citations), Infectious Diseases (793 citations) and Structural Biology (47 citations). Ariel Blocker has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Éric Larquet, Philippe Sansonetti, Kaoru Komoriya, Pierre Gounon, Claude Parsot, Steven Johnson, Shin‐Ichi Aizawa, Andreas K. J. Veenendaal, Susan M. Lea and William D. Picking. Their work appears in journals such as Journal of Biological Chemistry, Molecular Microbiology, Infection and Immunity, Proceedings of the National Academy of Sciences and 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.