Ronen Tchelet

478 citations
12 papers · 307 · h-index 8

Impact in

  • Pollution top 10%
    • Microbial bioremediation and biosurfactants
    • Wastewater Treatment and Nitrogen Removal
    • Microbial Community Ecology and Physiology
    • Bacteriophages and microbial interactions

Papers in

    • Bacillus and Francisella bacterial research 3
    • vaccines and immunoinformatics approaches 3
    • SARS-CoV-2 and COVID-19 Research 3
    • Viral Infections and Vectors 2

Ronen Tchelet

12 papers receiving 299 citations

Peers

Ronen Tchelet
Comparison fields: 5 of 68
  • Pollution 84
  • Ecology 109
  • Genetics 66
  • Molecular Biology 157
  • Health, Toxicology and Mutagenesis 30
Replace Nitai Steinberg with:
Nitai Steinberg Israel
Annelie Elväng Sweden
François Delavat France
Tim N. Enke United States
Daniël T. Verhamme Netherlands
Samir Giri Germany
Gregory B. Hecht United States
Martin Eschbach Germany
Elin Lilja Switzerland
Riho Teras Estonia
Ronen Tchelet relative to Nitai Steinberg Israel Nitai Steinberg's profile →
Citations per field
00.5×
Nitai Steinberg · 1×
Citations per year

Countries citing papers authored by Ronen Tchelet

Since Specialization
Citations

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

Fields of papers citing papers by Ronen Tchelet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 1989116
2 199956
3 199832
4 198730
5 202119
6 199317
7 199314
8 20229
9 20227
10 20224
11 20212
12 20231

About Ronen Tchelet

Ronen Tchelet is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Pollution and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 307 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), vaccines and immunoinformatics approaches (3 papers), Microbial Community Ecology and Physiology (3 papers), Animal Disease Management and Epidemiology (2 papers), Viral Infections and Vectors (2 papers), Cell Image Analysis Techniques (1 paper) and Mycorrhizal Fungi and Plant Interactions (1 paper). The work is most often cited by research in Pollution (84 citations), Ecology (109 citations), Genetics (66 citations), Molecular Biology (157 citations) and Health, Toxicology and Mutagenesis (30 citations). Ronen Tchelet has collaborated with scholars based in Finland, Israel and Netherlands. Frequent co-authors include Moshe Mevarech, Ilan Rosenshine, Jan Roelof van der Meer, Rainer U. Meckenstock, Patrick Steinle, D. Levanon, Y. Henis, Segula Masaphy, Rik I.L. Eggen and Thomas Egli. Their work appears in journals such as Vaccines, Biologicals, Soil Biology and Biochemistry, Science and Systematic and Applied 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.

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