Danielle C. Hamm
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- CRISPR and Genetic Engineering 6
- Genomics and Chromatin Dynamics 5
- RNA Research and Splicing 4
- Muscle Physiology and Disorders 3
- Developmental Biology and Gene Regulation 2
- Single-cell and spatial transcriptomics 1
- Co-authors
- Melissa M. Harrison (6 shared papers)Jill Wildonger (1 shared paper)Laura K. Donohue (1 shared paper)Kate M. O’Connor-Giles (1 shared paper)Jennifer Nguyen (1 shared paper)Scott J. Gratz (1 shared paper)Eliana R. Bondra (2 shared papers)Cheng‐Yu Lee (2 shared papers)
- Journals
- Cell Reports (2 papers)PLoS Biology (1 paper)Dalton Transactions (1 paper)Human Molecular Genetics (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Danielle C. Hamm
11 papers receiving 976 citations
Danielle C. Hamm's Hit Papers
Peers
Comparison fields: 5 of 71
- Aging 116
- Business and International Management 35
- Molecular Biology 852
- Insect Science 148
- Cellular and Molecular Neuroscience 143
Countries citing papers authored by Danielle C. Hamm
This map shows the geographic impact of Danielle C. Hamm'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 Danielle C. Hamm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle C. Hamm more than expected).
Fields of papers citing papers by Danielle C. Hamm
This network shows the impact of papers produced by Danielle C. Hamm. 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 Danielle C. Hamm. The network helps show where Danielle C. Hamm may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle C. Hamm, 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 | Genome Engineering of Drosophila with the CRISPR RNA-Guided Cas9 Nuclease Hit paper breakdown → | 2013 | 759 |
| 2 | 2018 | 53 | |
| 3 | 2019 | 36 | |
| 4 | 2014 | 31 | |
| 5 | 2017 | 29 | |
| 6 | 2017 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2023 | 9 | |
| 9 | 2012 | 9 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2025 | 0 |
About Danielle C. Hamm
Danielle C. Hamm is a scholar working on Molecular Biology, Immunology, Plant Science, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 989 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genomics and Chromatin Dynamics (5 papers), RNA Research and Splicing (4 papers), Muscle Physiology and Disorders (3 papers), Chromosomal and Genetic Variations (2 papers), Developmental Biology and Gene Regulation (2 papers), Single-cell and spatial transcriptomics (1 paper) and Luminescence and Fluorescent Materials (1 paper). The work is most often cited by research in Aging (116 citations), Business and International Management (35 citations), Molecular Biology (852 citations), Insect Science (148 citations) and Cellular and Molecular Neuroscience (143 citations). Danielle C. Hamm has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include Melissa M. Harrison, Jill Wildonger, Laura K. Donohue, Kate M. O’Connor-Giles, Jennifer Nguyen, Scott J. Gratz, Eliana R. Bondra, Cheng‐Yu Lee, Stephen J. Tapscott and Silvère M. van der Maarel. Their work appears in journals such as Cell Reports, PLoS Biology, Dalton Transactions, Human Molecular Genetics and Nature Communications.
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.