Tomer Shlomi
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Biomedical Engineering top 2%
- Physiology top 5%
- Computational Theory and Mathematics top 1%
- Co-authors
- Eytan RuppinRoded SharanJoshua D. RabinowitzJing FanJurre J. KamphorstLivnat JerbyEyal GottliebCraig B. Thompson
- Topics
- Microbial Metabolic Engineering and Bioproduction (35 papers)Bioinformatics and Genomic Networks (25 papers)Gene Regulatory Network Analysis (16 papers)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Tomer Shlomi
67 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Molecular Biology 7.0k
- Cancer Research 1.7k
- Biomedical Engineering 1.1k
- Physiology 511
- Computational Theory and Mathematics 509
Countries citing papers authored by Tomer Shlomi
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 56 | |
| 3 | 36 | |
| 4 | 53 | |
| 5 | 208 | |
| 6 | 186 | |
| 7 | 49 | |
| 8 | 302 | |
| 9 | A key role for mitochondrial gatekeeper pyruvate dehydrogenase in oncogene-induced senescencebreakdown → | 477 |
| 10 | 50 | |
| 11 | 133 | |
| 12 | 19 | |
| 13 | 377 | |
| 14 | Associating Genes and Protein Complexes with Disease via Network Propagationbreakdown → | 633 |
| 15 | 36 | |
| 16 | 6 | |
| 17 | 7 | |
| 18 | 28 | |
| 19 | 89 | |
| 20 | 2 |
About Tomer Shlomi
Tomer Shlomi is a scholar working on Cancer Research, Molecular Biology and Biochemistry, having authored 68 papers that have together received 8.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (35 papers), Bioinformatics and Genomic Networks (25 papers) and Gene Regulatory Network Analysis (16 papers). The work is most often cited by research in Cancer Research (1.7k citations), Molecular Biology (7.0k citations) and Biochemistry (350 citations). Tomer Shlomi has collaborated with scholars based in Israel, United States and Germany. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.