Eva M. Fast
Impact in
- Insect Science top 2%
- Insect symbiosis and bacterial influences
- Insect and Pesticide Research
- Insect behavior and control techniques
- Insect-Plant Interactions and Control
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- RNA Interference and Gene Delivery 2
- Histone Deacetylase Inhibitors Research 2
- Genomics and Chromatin Dynamics 2
-
- Immune Cell Function and Interaction 4
- Co-authors
- Horácio M. Frydman (3 shared papers)Leonard I. Zon (8 shared papers)Eric D. Kolaczyk (1 shared paper)Danielle Desjardins (1 shared paper)Aviv Regev (2 shared papers)Bing Zhang (1 shared paper)Sai Ma (2 shared papers)Jason D. Buenrostro (2 shared papers)
- Journals
- Blood (2 papers)Proceedings of the National Academy of Sciences (2 papers)Stem Cell Reports (1 paper)mSphere (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- United StatesBrazilNetherlands
In The Last Decade
Eva M. Fast
16 papers receiving 771 citations
Peers
Comparison fields: 5 of 83
- Insect Science 301
- Developmental Neuroscience 61
- Horticulture 14
- Urology 64
- Dermatology 57
Countries citing papers authored by Eva M. Fast
This map shows the geographic impact of Eva M. Fast'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 Eva M. Fast with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva M. Fast more than expected).
Fields of papers citing papers by Eva M. Fast
This network shows the impact of papers produced by Eva M. Fast. 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 Eva M. Fast. The network helps show where Eva M. Fast may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva M. Fast, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 188 | |
| 2 | 2011 | 164 | |
| 3 | 2009 | 101 | |
| 4 | 2017 | 94 | |
| 5 | 2013 | 76 | |
| 6 | 2014 | 44 | |
| 7 | 2011 | 28 | |
| 8 | 2011 | 27 | |
| 9 | 2022 | 19 | |
| 10 | 2021 | 17 | |
| 11 | 2017 | 12 | |
| 12 | 2023 | 5 | |
| 13 | 1998 | 3 | |
| 14 | 2018 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2020 | 1 |
About Eva M. Fast
Eva M. Fast is a scholar working on Molecular Biology, Immunology, Cell Biology, Insect Science and Genetics, having authored 16 papers that have together received 781 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Zebrafish Biomedical Research Applications (3 papers), Insect symbiosis and bacterial influences (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Interference and Gene Delivery (2 papers), Insect and Pesticide Research (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Insect Science (301 citations), Developmental Neuroscience (61 citations), Horticulture (14 citations), Urology (64 citations) and Dermatology (57 citations). Eva M. Fast has collaborated with scholars based in United States, Brazil and Netherlands. Frequent co-authors include Horácio M. Frydman, Leonard I. Zon, Eric D. Kolaczyk, Danielle Desjardins, Aviv Regev, Bing Zhang, Sai Ma, Jason D. Buenrostro, Ya‐Chieh Hsu and Elliott J. Hagedorn. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Stem Cell Reports, mSphere and Journal of Investigative Dermatology.
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.