Dawn Thompson
- Molecular Biology top 5%
- Infectious Diseases top 5%
- Plant Science top 5%
- Epidemiology top 10%
- Cancer Research top 5%
- Co-authors
- Aviv RegevXian AdiconisJoshua Z. LevinAndreas GnirkeMoran YassourNir FriedmanChad NusbaumFranklin W. Stahl
- Topics
- Fungal and yeast genetics research (14 papers)Genomics and Phylogenetic Studies (8 papers)Antifungal resistance and susceptibility (5 papers)
- Partner nations
- United StatesIsraelChile
In The Last Decade
Dawn Thompson
37 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 2.1k
- Infectious Diseases 416
- Plant Science 389
- Epidemiology 357
- Cancer Research 339
Countries citing papers authored by Dawn Thompson
This map shows the geographic impact of Dawn Thompson'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 Dawn Thompson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawn Thompson more than expected).
Fields of papers citing papers by Dawn Thompson
This network shows the impact of papers produced by Dawn Thompson. 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 Dawn Thompson. The network helps show where Dawn Thompson may publish in the future.
Co-authorship network of co-authors of Dawn Thompson
This figure shows the co-authorship network connecting the top 25 collaborators of Dawn Thompson. A scholar is included among the top collaborators of Dawn Thompson 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 Dawn Thompson. Dawn Thompson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The evolution, evolvability and engineering of gene regulatory DNAbreakdown → | 130 |
| 3 | 36 | |
| 4 | 22 | |
| 5 | 56 | |
| 6 | 11 | |
| 7 | Mitochondrial dysfunction remodels one-carbon metabolism in human cellsbreakdown → | 333 |
| 8 | Early-branching gut fungi possess a large, comprehensive array of biomass-degrading enzymes | 4 |
| 9 | 245 | |
| 10 | 3 | |
| 11 | 332 | |
| 12 | 18 | |
| 13 | 43 | |
| 14 | 58 | |
| 15 | Comprehensive comparative analysis of strand-specific RNA sequencing methods | 1 |
| 16 | Comprehensive comparative analysis of strand-specific RNA sequencing methodsbreakdown → | 533 |
| 17 | Fungal regulatory evolution: cis and trans in the balance | 1 |
| 18 | 22 | |
| 19 | 14 | |
| 20 | 71 |
About Dawn Thompson
Dawn Thompson is a scholar working on Aging, Molecular Biology and Pharmacology, having authored 37 papers that have together received 2.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (14 papers), Genomics and Phylogenetic Studies (8 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Aging (47 citations) and Cancer Research (339 citations). Dawn Thompson has collaborated with scholars based in United States, Israel and Chile. Frequent co-authors include Aviv Regev, Xian Adiconis, Joshua Z. Levin, Andreas Gnirke, Moran Yassour, Nir Friedman, Chad Nusbaum, Franklin W. Stahl, Amanda Socha and Sushmita Roy. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.