Zohar Bloom‐Ackermann

4.1k citations
11 papers · 1.8k · 1 hit paper · h-index 9

Impact in

Papers in

    • Bacterial biofilms and quorum sensing 5
    • Genomics and Phylogenetic Studies 2
    • RNA modifications and cancer 2
    • Microbial Community Ecology and Physiology 2
    • Bacteriophages and microbial interactions 2

Zohar Bloom‐Ackermann

11 papers receiving 1.8k citations

Zohar Bloom‐Ackermann's Hit Papers

A Deep Learning Approach to Antibiotic Discovery 2020 · 1.4k citations
1.4k0+2+4Years since publication4008001.2k

Peers

Zohar Bloom‐Ackermann
Comparison fields: 5 of 162
  • Molecular Medicine 151
  • Computational Theory and Mathematics 497
  • Health Informatics 37
  • Applied Microbiology and Biotechnology 47
  • Microbiology 106
Replace Andrés Cubillos-Ruiz with:
Andrés Cubillos-Ruiz United States
Ian W. Andrews United States
Anush Chiappino-Pepe United States
Emma J. Chory United States
Victoria M. Tran United States
Lindsey A. Carfrae Canada
Kevin Yang United States
Wengong Jin United States
Kyle Swanson United States
Felix Wong United States
Zohar Bloom‐Ackermann relative to Andrés Cubillos-Ruiz United States Andrés Cubillos-Ruiz's profile →
Citations per field
00.5×2.8×
Andrés Cubillos-Ruiz · 1×
Citations per year

Countries citing papers authored by Zohar Bloom‐Ackermann

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Zohar Bloom‐Ackermann Line = papers co-authored together Zohar Bloom‐Ackermann links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
A Deep Learning Approach to Antibiotic Discovery
Hit paper breakdown →
20201385
2 201690
3 201581
4 201375
5 201469
6 201656
7 201637
8 201630
9 202414
10 20245
11 20152

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 1.8k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (5 papers), Mycobacterium research and diagnosis (3 papers), Bacterial Genetics and Biotechnology (3 papers), Tuberculosis Research and Epidemiology (2 papers), Microbial Community Ecology and Physiology (2 papers), Genomics and Phylogenetic Studies (2 papers), Bacteriophages and microbial interactions (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Medicine (151 citations), Computational Theory and Mathematics (497 citations), Health Informatics (37 citations), Applied Microbiology and Biotechnology (47 citations) and Microbiology (106 citations). Zohar Bloom‐Ackermann has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Anush Chiappino-Pepe, Regina Barzilay, Kyle Swanson, Wengong Jin, Craig R. MacNair, Lindsey A. Carfrae, Emma J. Chory, Tommi Jaakkola, Andrés Cubillos-Ruiz and Shawn French. Their work appears in journals such as npj Biofilms and Microbiomes, Environmental Microbiology Reports, Nature Protocols, Cell 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.

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