Ghil Jona

3.2k total citations · 1 hit paper
34 papers, 2.2k citations indexed

About

Ghil Jona is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ghil Jona has authored 34 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ghil Jona's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Fungal and yeast genetics research (6 papers) and Gene Regulatory Network Analysis (5 papers). Ghil Jona is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Fungal and yeast genetics research (6 papers) and Gene Regulatory Network Analysis (5 papers). Ghil Jona collaborates with scholars based in Israel, United States and Germany. Ghil Jona's co-authors include M Snyder, Naama Barkai, Eyal Metzl-Raz, Moshe Kafri, Ron Milo, Εlad Noor, Shmuel Gleizer, Yinon M. Bar‐On, Niv Antonovsky and Arren Bar‐Even and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ghil Jona

32 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Conversion of Escherichia coli to Generate All Biomass Carbon from CO2

2019 370 citations Shmuel Gleizer, Roee Ben-Nissan et al. Cell profile →

Peers

Ghil Jona

MB

BE

GENET

RESE

ECOLO

Heather M. Mottaz United States

Gareth Butland United States

Trong Khoa Pham United Kingdom

Shimyn Slomovic Israel

Paul Predki United States

Jon Marles‐Wright United Kingdom

Saw Yen Ow United Kingdom

Ying Wen China

Alexander V. Bogachev Russia

Minsu Kim United States

Heather M. Mottaz United States

Ghil Jona

1.2k ×0.7

MB

246 ×0.9

BE

152 ×0.6

GENET

48 ×0.3

RESE

182 ×1.3

ECOLO

Citations per year, relative to Ghil Jona Ghil Jona (= 1×) peers Heather M. Mottaz

Countries citing papers authored by Ghil Jona

Since Specialization

Citations

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

Fields of papers citing papers by Ghil Jona

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ghil Jona

This figure shows the co-authorship network connecting the top 25 collaborators of Ghil Jona. A scholar is included among the top collaborators of Ghil Jona 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 Ghil Jona. Ghil Jona is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Garcia‐Seisdedos, Hector, Arseniy Lobov, Matthias Wojtynek, et al.. (2025). Mutation-induced filaments of folded proteins are inert and non-toxic in a cellular system. Molecular Systems Biology. 21(10). 1306–1324.

2.

Pins, Benoit de, Ghil Jona, Shmuel Gleizer, et al.. (2024). Autotrophic growth of Escherichia coli is achieved by a small number of genetic changes. eLife. 12. 3 indexed citations

3.

Barad, Shiri, et al.. (2023). gUMI-BEAR, a modular, unsupervised population barcoding method to track variants and evolution at high resolution. PLoS ONE. 18(6). e0286696–e0286696.

4.

Pins, Benoit de, Ghil Jona, Shmuel Gleizer, et al.. (2023). Autotrophic growth of Escherichia coli is achieved by a small number of genetic changes. eLife. 12. 10 indexed citations

5.

Jona, Ghil, Edna Furman‐Haran, & Rita Schmidt. (2020). Realistic head‐shaped phantom with brain‐mimicking metabolites for 7 T spectroscopy and spectroscopic imaging. NMR in Biomedicine. 34(1). e4421–e4421. 11 indexed citations

6.

Gleizer, Shmuel, Roee Ben-Nissan, Yinon M. Bar‐On, et al.. (2019). Conversion of Escherichia coli to Generate All Biomass Carbon from CO2. Cell. 179(6). 1255–1263.e12. 370 indexed citations breakdown →

7.

Herbst, Rebecca H., Sharon Reikhav, Ilya Soifer, et al.. (2017). Heterosis as a consequence of regulatory incompatibility. BMC Biology. 15(1). 38–38. 27 indexed citations

8.

Leshkowitz, Dena, Ester Feldmesser, Gilgi Friedlander, et al.. (2016). Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools. PLoS ONE. 11(4). e0153782–e0153782. 10 indexed citations

9.

Antonovsky, Niv, Shmuel Gleizer, Εlad Noor, et al.. (2016). Sugar Synthesis from CO2 in Escherichia coli. Cell. 166(1). 115–125. 274 indexed citations

10.

Korem, Tal, David Zeevi, Jotham Suez, et al.. (2015). Growth dynamics of gut microbiota in health and disease inferred from single metagenomic samples. Science. 349(6252). 1101–1106. 310 indexed citations

11.

Kafri, Moshe, Eyal Metzl-Raz, Ghil Jona, & Naama Barkai. (2015). The Cost of Protein Production. Cell Reports. 14(1). 22–31. 245 indexed citations

12.

Ruban, Angela, Katayun Cohen-Kashi Malina, Itzik Cooper, et al.. (2015). Combined Treatment of an Amyotrophic Lateral Sclerosis Rat Model with Recombinant GOT1 and Oxaloacetic Acid: A Novel Neuroprotective Treatment. Neurodegenerative Diseases. 15(4). 233–242. 29 indexed citations

13.

Keren, Leeat, David van Dijk, Shira Weingarten-Gabbay, et al.. (2015). Noise in gene expression is coupled to growth rate. Genome Research. 25(12). 1893–1902. 58 indexed citations

14.

Vinik, Yaron, et al.. (2013). Otubain 2 is a novel promoter of beta cell survival as revealed by siRNA high-throughput screens of human pancreatic islets. Diabetologia. 56(6). 1317–1326. 19 indexed citations

15.

Zhu, Heng, Shaohui Hu, Ghil Jona, et al.. (2006). Severe acute respiratory syndrome diagnostics using a coronavirus protein microarray. Proceedings of the National Academy of Sciences. 103(11). 4011–4016. 108 indexed citations

16.

Smith, Michael G., Ghil Jona, Jason Ptacek, et al.. (2004). Global analysis of protein function using protein microarrays. Mechanisms of Ageing and Development. 126(1). 171–175. 28 indexed citations

17.

Mukherjee, Sonali, Michael F. Berger, Ghil Jona, et al.. (2004). Rapid analysis of the DNA-binding specificities of transcription factors with DNA microarrays. Nature Genetics. 36(12). 1331–1339. 292 indexed citations

18.

Jona, Ghil, Birgitte Ø. Wittschieben, Jesper Q. Svejstrup, & O. Gileadi. (2001). Involvement of yeast carboxy-terminal domain kinase I (CTDK-I) in transcription elongation in vivo. Gene. 267(1). 31–36. 48 indexed citations

19.

Jona, Ghil, Mordechai Choder, & O. Gileadi. (2000). Glucose starvation induces a drastic reduction in the rates of both transcription and degradation of mRNA in yeast. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression. 1491(1-3). 37–48. 58 indexed citations

20.

Jona, Ghil, et al.. (1968). [The effect of nandrolone decanoate on the iron metabolism of the organism after irradiation].. PubMed. 136(1). 113–5. 1 indexed citations

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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