Noam Shoresh
- Molecular Biology top 1%
- Genetics top 0.5%
- Cancer Research top 2%
- Molecular Medicine top 0.5%
- Nuclear and High Energy Physics top 5%
- Co-authors
- B BernsteinNathalie Q. BalabanIrine RoninCharles B. EpsteinTimothy DurhamMichael J. CoyneIrit Levin-ReismanXiaolan Zhang
- Topics
- Quantum Chromodynamics and Particle Interactions (13 papers)Particle physics theoretical and experimental studies (13 papers)High-Energy Particle Collisions Research (11 papers)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Noam Shoresh
44 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Molecular Biology 4.9k
- Genetics 1.9k
- Cancer Research 756
- Molecular Medicine 720
- Nuclear and High Energy Physics 648
Countries citing papers authored by Noam Shoresh
This map shows the geographic impact of Noam Shoresh'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 Noam Shoresh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noam Shoresh more than expected).
Fields of papers citing papers by Noam Shoresh
This network shows the impact of papers produced by Noam Shoresh. 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 Noam Shoresh. The network helps show where Noam Shoresh may publish in the future.
Co-authorship network of co-authors of Noam Shoresh
This figure shows the co-authorship network connecting the top 25 collaborators of Noam Shoresh. A scholar is included among the top collaborators of Noam Shoresh 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 Noam Shoresh. Noam Shoresh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 36 | |
| 6 | 11 | |
| 7 | 13 | |
| 8 | 134 | |
| 9 | RNA sequence analysis reveals macroscopic somatic clonal expansion across normal tissuesbreakdown → | 310 |
| 10 | Antibiotic tolerance facilitates the evolution of resistancebreakdown → | 874 |
| 11 | 101 | |
| 12 | Single-cell ChIP-seq reveals cell subpopulations defined by chromatin statebreakdown → | 648 |
| 13 | Optimization of lag time underlies antibiotic tolerance in evolved bacterial populationsbreakdown → | 431 |
| 14 | 380 | |
| 15 | 44 | |
| 16 | 250 | |
| 17 | 19 | |
| 18 | 270 | |
| 19 | 89 | |
| 20 | 185 |
About Noam Shoresh
Noam Shoresh is a scholar working on Nuclear and High Energy Physics, Molecular Medicine and Aging, having authored 46 papers that have together received 7.5k indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (13 papers), Particle physics theoretical and experimental studies (13 papers) and High-Energy Particle Collisions Research (11 papers). The work is most often cited by research in Molecular Medicine (720 citations), Molecular Biology (4.9k citations) and Genetics (1.9k citations). Noam Shoresh has collaborated with scholars based in United States, Israel and France. Frequent co-authors include B Bernstein, Nathalie Q. Balaban, Irine Ronin, Charles B. Epstein, Timothy Durham, Michael J. Coyne, Irit Levin-Reisman, Xiaolan Zhang, Roy Kishony and Robbyn Issner. Their work appears in journals such as Nature, Science and Cell.
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.