Zohar Bloom‐Ackermann
Impact in
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- Computational Drug Discovery Methods
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Bacterial biofilms and quorum sensing 5
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
- RNA modifications and cancer 2
- Ecology 4
- Bacteriophages and microbial interactions 2
- Co-authors
- Wengong Jin (1 shared paper)Craig R. MacNair (1 shared paper)Ian W. Andrews (1 shared paper)Andrés Cubillos-Ruiz (1 shared paper)Eric D. Brown (1 shared paper)Regina Barzilay (1 shared paper)Anush Chiappino-Pepe (1 shared paper)Nina M. Donghia (1 shared paper)
- Journals
- npj Biofilms and Microbiomes (2 papers)Journal of the American Chemical Society (1 paper)Israel Journal of Chemistry (1 paper)mBio (1 paper)PLoS Genetics (1 paper)
- Partner nations
- IsraelUnited StatesNetherlands
In The Last Decade
Zohar Bloom‐Ackermann
11 papers receiving 1.7k citations
Zohar Bloom‐Ackermann's Hit Papers
Peers
Comparison fields: 5 of 164
- Computational Theory and Mathematics 501
- Molecular Medicine 154
- Health Informatics 40
- Applied Microbiology and Biotechnology 48
- Microbiology 105
Countries citing papers authored by Zohar Bloom‐Ackermann
This map shows the geographic impact of Zohar Bloom‐Ackermann'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 Zohar Bloom‐Ackermann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zohar Bloom‐Ackermann more than expected).
Fields of papers citing papers by Zohar Bloom‐Ackermann
This network shows the impact of papers produced by Zohar Bloom‐Ackermann. 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 Zohar Bloom‐Ackermann. The network helps show where Zohar Bloom‐Ackermann may publish in the future.
Co-authors
The 25 scholars most cited alongside Zohar Bloom‐Ackermann, 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 | A Deep Learning Approach to Antibiotic Discovery Hit paper breakdown → | 2020 | 1298 |
| 2 | 2016 | 87 | |
| 3 | 2015 | 80 | |
| 4 | 2013 | 72 | |
| 5 | 2014 | 66 | |
| 6 | 2016 | 55 | |
| 7 | 2016 | 37 | |
| 8 | 2016 | 29 | |
| 9 | 2024 | 11 | |
| 10 | 2024 | 4 | |
| 11 | 2015 | 2 |
About Zohar Bloom‐Ackermann
Zohar Bloom‐Ackermann is a scholar working on Molecular Biology, Ecology, Epidemiology, Genetics and Infectious Diseases, having authored 11 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (5 papers), Bacterial Genetics and Biotechnology (3 papers), Mycobacterium research and diagnosis (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Bacteriophages and microbial interactions (2 papers), Tuberculosis Research and Epidemiology (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Computational Theory and Mathematics (501 citations), Molecular Medicine (154 citations), Health Informatics (40 citations), Applied Microbiology and Biotechnology (48 citations) and Microbiology (105 citations). Zohar Bloom‐Ackermann has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Wengong Jin, Craig R. MacNair, Ian W. Andrews, Andrés Cubillos-Ruiz, Eric D. Brown, Regina Barzilay, Anush Chiappino-Pepe, Nina M. Donghia, Tommi Jaakkola and James J. Collins. Their work appears in journals such as npj Biofilms and Microbiomes, Journal of the American Chemical Society, Israel Journal of Chemistry, mBio and PLoS Genetics.
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.