Raphy Zarecki

1.7k total citations · 1 hit paper
18 papers, 1.0k citations indexed

About

Raphy Zarecki is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Raphy Zarecki has authored 18 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Ecology and 4 papers in Biomedical Engineering. Recurrent topics in Raphy Zarecki's work include Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (4 papers) and Microbial Community Ecology and Physiology (4 papers). Raphy Zarecki is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (10 papers), Biofuel production and bioconversion (4 papers) and Microbial Community Ecology and Physiology (4 papers). Raphy Zarecki collaborates with scholars based in Israel, United States and Germany. Raphy Zarecki's co-authors include Eytan Ruppin, Uri Gophna, Shiri Freilich, Christopher S. Henry, Martin Kupiec, E. Segal, Roded Sharan, Matthew Oberhardt, Hans‐Peter Klenk and Elke Lang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Raphy Zarecki

17 papers receiving 1.0k citations

Hit Papers

Competitive and cooperative metabolic interactions in bac... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Raphy Zarecki Israel 11 633 242 143 139 124 18 1.0k
Haiying Yu China 18 681 1.1× 208 0.9× 76 0.5× 202 1.5× 76 0.6× 47 1.2k
Leszek Lipiński Poland 14 681 1.1× 279 1.2× 253 1.8× 104 0.7× 86 0.7× 23 1.2k
Olga Ponomarova United States 11 751 1.2× 315 1.3× 75 0.5× 157 1.1× 114 0.9× 14 1.3k
Benoit St‐Pierre United States 18 603 1.0× 113 0.5× 74 0.5× 129 0.9× 82 0.7× 41 1.2k
Suzan Yilmaz United States 15 699 1.1× 240 1.0× 100 0.7× 52 0.4× 193 1.6× 19 999
Suresh Poudel United States 11 556 0.9× 189 0.8× 50 0.3× 140 1.0× 192 1.5× 19 874
Yuhui Du China 17 470 0.7× 107 0.4× 134 0.9× 115 0.8× 58 0.5× 53 877
Jialing Li China 16 336 0.5× 275 1.1× 127 0.9× 128 0.9× 55 0.4× 50 870
Kerstin Schreiber Germany 12 847 1.3× 251 1.0× 79 0.6× 85 0.6× 105 0.8× 14 1.2k
Tobias Österlund Sweden 18 714 1.1× 116 0.5× 306 2.1× 43 0.3× 181 1.5× 35 1.2k

Countries citing papers authored by Raphy Zarecki

Since Specialization
Citations

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

Fields of papers citing papers by Raphy Zarecki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raphy Zarecki

This figure shows the co-authorship network connecting the top 25 collaborators of Raphy Zarecki. A scholar is included among the top collaborators of Raphy Zarecki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raphy Zarecki. Raphy Zarecki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
2.
Salman, Lina, Shay Hantisteanu, Raphy Zarecki, et al.. (2023). PR052/#439  Distinct vaginal microbiome ovarian cancer patients – a possible screening and prognostic biomarker?. A60–A61. 1 indexed citations
3.
Dhakar, Kusum, Shlomit Medina, Ran Nisim Lati, et al.. (2022). Comparative study of bacterial community dynamics in different soils following application of the herbicide atrazine. Environmental Research. 220. 115189–115189. 10 indexed citations
4.
Dhakar, Kusum, Raphy Zarecki, Shlomit Medina, et al.. (2022). Modeling-Guided Amendments Lead to Enhanced Biodegradation in Soil. mSystems. 7(4). e0016922–e0016922. 5 indexed citations
5.
Dhakar, Kusum, Raphy Zarecki, Shlomit Medina, et al.. (2021). Strategies for Enhancing in vitro Degradation of Linuron by Variovorax sp. Strain SRS 16 Under the Guidance of Metabolic Modeling. Frontiers in Bioengineering and Biotechnology. 9. 602464–602464. 10 indexed citations
6.
Ofaim, Shany, Raphy Zarecki, Daniella Gat, et al.. (2020). Genome-scale reconstruction of Paenarthrobacter aurescens TC1 metabolic model towards the study of atrazine bioremediation. Scientific Reports. 10(1). 13019–13019. 25 indexed citations
7.
Li, Yan, Lisa Elmeń, Igor Šegota, et al.. (2020). Prebiotic-Induced Anti-tumor Immunity Attenuates Tumor Growth. Cell Reports. 30(6). 1753–1766.e6. 129 indexed citations
8.
Xu, Xihui, Raphy Zarecki, Shlomit Medina, et al.. (2018). Modeling microbial communities from atrazine contaminated soils promotes the development of biostimulation solutions. The ISME Journal. 13(2). 494–508. 141 indexed citations
9.
Oberhardt, Matthew, Raphy Zarecki, Leah Reshef, et al.. (2016). Systems-Wide Prediction of Enzyme Promiscuity Reveals a New Underground Alternative Route for Pyridoxal 5’-Phosphate Production in E. coli. PLoS Computational Biology. 12(1). e1004705–e1004705. 23 indexed citations
10.
Friedman, Nir, et al.. (2016). Diet‐induced changes of redox potential underlie compositional shifts in the rumen archaeal community. Environmental Microbiology. 19(1). 174–184. 45 indexed citations
11.
Oberhardt, Matthew, Raphy Zarecki, Sabine Gronow, et al.. (2015). Harnessing the landscape of microbial culture media to predict new organism–media pairings. Nature Communications. 6(1). 8493–8493. 114 indexed citations
12.
Seaver, Samuel M. D., Louis Mt Bradbury, Océane Frelin, et al.. (2015). Improved evidence-based genome-scale metabolic models for maize leaf, embryo, and endosperm. Frontiers in Plant Science. 6. 142–142. 46 indexed citations
13.
Zarecki, Raphy, et al.. (2015). Building the KOMODO media database. Protocol Exchange. 2 indexed citations
14.
Zarecki, Raphy, Matthew Oberhardt, Keren Yizhak, et al.. (2014). Maximal Sum of Metabolic Exchange Fluxes Outperforms Biomass Yield as a Predictor of Growth Rate of Microorganisms. PLoS ONE. 9(5). e98372–e98372. 8 indexed citations
15.
Zarecki, Raphy, Matthew Oberhardt, Leah Reshef, Uri Gophna, & Eytan Ruppin. (2014). A Novel Nutritional Predictor Links Microbial Fastidiousness with Lowered Ubiquity, Growth Rate, and Cooperativeness. PLoS Computational Biology. 10(7). e1003726–e1003726. 26 indexed citations
16.
Zarecki, Raphy, Matthew Oberhardt, Luke K. Ursell, et al.. (2014). Glycan Degradation (GlyDeR) Analysis Predicts Mammalian Gut Microbiota Abundance and Host Diet-Specific Adaptations. mBio. 5(4). 37 indexed citations
17.
Wagner, Allon, Raphy Zarecki, Leah Reshef, et al.. (2013). Computational evaluation of cellular metabolic costs successfully predicts genes whose expression is deleterious. Proceedings of the National Academy of Sciences. 110(47). 19166–19171. 18 indexed citations
18.
Freilich, Shiri, Raphy Zarecki, E. Segal, et al.. (2011). Competitive and cooperative metabolic interactions in bacterial communities. Nature Communications. 2(1). 589–589. 392 indexed citations breakdown →

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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