David Chetrit

704 citations
16 papers · 459 · h-index 11

Impact in

    • Legionella and Acanthamoeba research
    • Vibrio bacteria research studies
    • Escherichia coli research studies
    • Antibiotic Resistance in Bacteria

Papers in

    • Legionella and Acanthamoeba research 9
    • Vibrio bacteria research studies 6
    • Escherichia coli research studies 3
    • Ubiquitin and proteasome pathways 2

David Chetrit

16 papers receiving 447 citations

Peers

David Chetrit
Comparison fields: 5 of 69
  • Endocrinology 185
  • Molecular Medicine 54
  • Structural Biology 7
  • Immunology and Allergy 26
  • Cell Biology 62
Replace Anthony J. Brzoska with:
Anthony J. Brzoska Australia
Anthony C. Davidson United Kingdom
Stefan Behr Germany
Angel C.Y. Yu Canada
Ana T. López-Jiménez United Kingdom
Maliwan Meewan United States
Rya Ero Singapore
Andrea Sirianni United Kingdom
Caroline Barisch Switzerland
Gleb Baida United States
David Chetrit relative to Anthony J. Brzoska Australia Anthony J. Brzoska's profile →
Citations per field
00.5×3.4×
Anthony J. Brzoska · 1×
Citations per year

Countries citing papers authored by David Chetrit

Since Specialization
Citations

This map shows the geographic impact of David Chetrit'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 David Chetrit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chetrit more than expected).

Fields of papers citing papers by David Chetrit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Chetrit. 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 David Chetrit. The network helps show where David Chetrit may publish in the future.

Co-authors

The 25 scholars most cited alongside David Chetrit, 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 David Chetrit Line = papers co-authored together David Chetrit links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 201869
2 200650
3 201250
4 201346
5 202043
6 200842
7 202039
8 201831
9 201028
10 200925
11 201221
12 20217
13 20203
14 20243
15 20241
16 20251

About David Chetrit

David Chetrit is a scholar working on Endocrinology, Molecular Biology, Cell Biology, Immunology and Molecular Medicine, having authored 16 papers that have together received 459 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (9 papers), Vibrio bacteria research studies (6 papers), Cellular transport and secretion (4 papers), Escherichia coli research studies (3 papers), Ubiquitin and proteasome pathways (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Phytochemicals and Antioxidant Activities (1 paper). The work is most often cited by research in Endocrinology (185 citations), Molecular Medicine (54 citations), Structural Biology (7 citations), Immunology and Allergy (26 citations) and Cell Biology (62 citations). David Chetrit has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Marcelo Ehrlich, Craig R. Roy, Jun Liu, Bo Hu, Peter J. Christie, Naomi Ziv, Amit Meir, Gil Segal, Zohar Kerem and Oded Shoseyov. Their work appears in journals such as Nature Communications, PLoS Pathogens, Developmental Cell, Molecular Microbiology and Journal of Agricultural and Food Chemistry.

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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