Tomer Shlomi

11.5k total citations · 3 hit papers
68 papers, 8.4k citations indexed

About

Tomer Shlomi is a scholar working on Molecular Biology, Cancer Research and Biomedical Engineering. According to data from OpenAlex, Tomer Shlomi has authored 68 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Molecular Biology, 17 papers in Cancer Research and 8 papers in Biomedical Engineering. Recurrent topics in Tomer Shlomi's work include Microbial Metabolic Engineering and Bioproduction (35 papers), Bioinformatics and Genomic Networks (25 papers) and Gene Regulatory Network Analysis (16 papers). Tomer Shlomi is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (35 papers), Bioinformatics and Genomic Networks (25 papers) and Gene Regulatory Network Analysis (16 papers). Tomer Shlomi collaborates with scholars based in Israel, United States and Germany. Tomer Shlomi's co-authors include Eytan Ruppin, Roded Sharan, Joshua D. Rabinowitz, Jing Fan, Jurre J. Kamphorst, Livnat Jerby, Eyal Gottlieb, Craig B. Thompson, Jiangbin Ye and Moran N. Cabili and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Tomer Shlomi

67 papers receiving 8.3k citations

Hit Papers

Quantitative flux analysi... 2010 2026 2015 2020 2014 2010 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomer Shlomi Israel 40 7.0k 1.7k 1.1k 511 509 68 8.4k
Douglas S. Auld United States 42 4.8k 0.7× 1.0k 0.6× 484 0.4× 547 1.1× 1.1k 2.2× 120 7.1k
Alykhan F. Shamji United States 29 5.9k 0.8× 2.8k 1.6× 494 0.5× 220 0.4× 352 0.7× 34 8.8k
Boris Ν. Kholodenko United States 53 9.4k 1.3× 634 0.4× 485 0.4× 462 0.9× 954 1.9× 217 11.5k
Lilia Alberghina Italy 49 6.7k 0.9× 1.1k 0.6× 834 0.8× 525 1.0× 88 0.2× 286 8.6k
Chris T. Evelo Netherlands 40 4.0k 0.6× 765 0.4× 222 0.2× 706 1.4× 722 1.4× 175 6.9k
Ajit Jadhav United States 50 5.1k 0.7× 543 0.3× 416 0.4× 373 0.7× 1.3k 2.5× 150 8.1k
Benjamin P. Tu United States 42 7.2k 1.0× 1.8k 1.1× 265 0.2× 866 1.7× 115 0.2× 89 9.5k
Diego di Bernardo Italy 41 5.3k 0.7× 487 0.3× 301 0.3× 444 0.9× 875 1.7× 143 7.2k
Hans‐Werner Mewes Germany 44 11.2k 1.6× 515 0.3× 475 0.4× 591 1.2× 1.2k 2.4× 124 13.9k
Tao Fang China 11 5.4k 0.8× 1.3k 0.8× 222 0.2× 520 1.0× 599 1.2× 35 9.3k

Countries citing papers authored by Tomer Shlomi

Since Specialization
Citations

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

Fields of papers citing papers by Tomer Shlomi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomer Shlomi

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

All Works

20 of 20 papers shown
1.
Stern, A. A., et al.. (2023). Inferring mitochondrial and cytosolic metabolism by coupling isotope tracing and deconvolution. Nature Communications. 14(1). 7525–7525. 9 indexed citations
2.
Sokol, Ethan, Metsada Pasmanik‐Chor, Dor Simkin, et al.. (2022). Genomic alterations drive metastases formation in pancreatic ductal adenocarcinoma cancer: deciphering the role of CDKN2A and CDKN2B in mediating liver tropism. Oncogene. 41(10). 1468–1481. 7 indexed citations
3.
Mukha, Dzmitry, et al.. (2020). Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample-specific ion distributions. Nature Communications. 11(1). 3186–3186. 56 indexed citations
4.
Lee, Won Dong, Dzmitry Mukha, É. M. Aizenshtein, & Tomer Shlomi. (2019). Spatial-fluxomics provides a subcellular-compartmentalized view of reductive glutamine metabolism in cancer cells. Nature Communications. 10(1). 1351–1351. 53 indexed citations
5.
Davidi, Dan, Εlad Noor, Wolfram Liebermeister, et al.. (2016). Global characterization of in vivo enzyme catalytic rates and their correspondence to in vitro k cat measurements. Proceedings of the National Academy of Sciences. 113(12). 3401–3406. 186 indexed citations
6.
Matschke, Johann, Diana Klein, René Handrick, et al.. (2016). Targeted Inhibition of Glutamine-Dependent Glutathione Metabolism Overcomes Death Resistance Induced by Chronic Cycling Hypoxia. Antioxidants and Redox Signaling. 25(2). 89–107. 49 indexed citations
7.
Tepper, Naama & Tomer Shlomi. (2015). Efficient Modeling of MS/MS Data for Metabolic Flux Analysis. PLoS ONE. 10(7). e0130213–e0130213. 12 indexed citations
8.
Fan, Jing, Jurre J. Kamphorst, Joshua D. Rabinowitz, & Tomer Shlomi. (2013). Fatty Acid Labeling from Glutamine in Hypoxia Can Be Explained by Isotope Exchange without Net Reductive Isocitrate Dehydrogenase (IDH) Flux. Journal of Biological Chemistry. 288(43). 31363–31369. 57 indexed citations
9.
Kaplon, Joanna, Liang Zheng, Katrin Meissl, et al.. (2013). A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescence. Nature. 498(7452). 109–112. 477 indexed citations breakdown →
10.
Sharon, Itai, Sivan Bercovici, Ron Y. Pinter, & Tomer Shlomi. (2011). Pathway-Based Functional Analysis of Metagenomes. Journal of Computational Biology. 18(3). 495–505. 19 indexed citations
11.
Meir, Sagit, et al.. (2011). Reconstruction ofArabidopsismetabolic network models accounting for subcellular compartmentalization and tissue-specificity. Proceedings of the National Academy of Sciences. 109(1). 339–344. 207 indexed citations
12.
Shlomi, Tomer, et al.. (2011). Genome-Scale Metabolic Modeling Elucidates the Role of Proliferative Adaptation in Causing the Warburg Effect. PLoS Computational Biology. 7(3). e1002018–e1002018. 187 indexed citations
13.
Zur, Hadas, Eytan Ruppin, & Tomer Shlomi. (2010). iMAT: an integrative metabolic analysis tool. Bioinformatics. 26(24). 3140–3142. 241 indexed citations
14.
Ruppin, Eytan, et al.. (2010). Associating Genes and Protein Complexes with Disease via Network Propagation. PLoS Computational Biology. 6(1). e1000641–e1000641. 633 indexed citations breakdown →
15.
Aharoni, Asaph, et al.. (2009). Network-based prediction of metabolic enzymes' subcellular localization. Bioinformatics. 25(12). i247–i1252. 36 indexed citations
16.
Diamant, Idit, Yonina C. Eldar, Oleg Rokhlenko, Eytan Ruppin, & Tomer Shlomi. (2009). A network-based method for predicting gene–nutrient interactions and its application to yeast amino-acidmetabolism. Molecular BioSystems. 5(12). 1732–1739. 6 indexed citations
17.
Shlomi, Tomer, Markus J. Herrgård, Vasiliy A. Portnoy, et al.. (2007). Systematic condition-dependent annotation of metabolic genes. Genome Research. 17(11). 1626–1633. 18 indexed citations
18.
Bilu, Yonatan, Tomer Shlomi, Naama Barkai, & Eytan Ruppin. (2006). Conservation of Expression and Sequence of Metabolic Genes Is Reflected by Activity Across Metabolic States. PLoS Computational Biology. 2(8). e106–e106. 28 indexed citations
19.
Suthram, Silpa, Tomer Shlomi, Eytan Ruppin, Roded Sharan, & Trey Ideker. (2006). A direct comparison of protein interaction confidence assignment schemes. BMC Bioinformatics. 7(1). 360–360. 92 indexed citations
20.
Shlomi, Tomer, et al.. (2004). Constraint-Based Modelling Of Perturbed Organisms: A ROOM for improvement. Journal of Pharmacobio-Dynamics. 10(10). 537–42. 2 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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