Danielle M. Heller
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- CRISPR and Genetic Engineering 2
- Protein Structure and Dynamics 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Ecology 4
- Bacteriophages and microbial interactions 4
- Co-authors
- Marta Fernández-Suárez (1 shared paper)Bree B. Aldridge (1 shared paper)Sarah M. Fortune (1 shared paper)Daniel Irimia (1 shared paper)Mehmet Toner (1 shared paper)Ann Hochschild (3 shared papers)Andy H. Yuan (1 shared paper)Eleanor Fleming (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Annual Review of Virology (1 paper)Nucleic Acids Research (1 paper)Science (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Danielle M. Heller
7 papers receiving 398 citations
Peers
Comparison fields: 5 of 59
- Molecular Medicine 69
- Infectious Diseases 154
- Endocrinology 32
- Genetics 158
- Epidemiology 157
Countries citing papers authored by Danielle M. Heller
This map shows the geographic impact of Danielle M. Heller'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 M. Heller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle M. Heller more than expected).
Fields of papers citing papers by Danielle M. Heller
This network shows the impact of papers produced by Danielle M. Heller. 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 M. Heller. The network helps show where Danielle M. Heller may publish in the future.
Co-authors
The 18 scholars most cited alongside Danielle M. Heller, 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 | 2011 | 318 | |
| 2 | 2017 | 35 | |
| 3 | 2019 | 22 | |
| 4 | 2024 | 9 | |
| 5 | 2018 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2010 | 4 | |
| 8 | 2024 | 0 |
About Danielle M. Heller
Danielle M. Heller is a scholar working on Molecular Biology, Ecology, Genetics, Epidemiology and Materials Chemistry, having authored 8 papers that have together received 401 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (2 papers), CRISPR and Genetic Engineering (2 papers), Protein Structure and Dynamics (2 papers), Mycobacterium research and diagnosis (2 papers), Neurological diseases and metabolism (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Molecular Medicine (69 citations), Infectious Diseases (154 citations), Endocrinology (32 citations), Genetics (158 citations) and Epidemiology (157 citations). Danielle M. Heller has collaborated with scholars based in United States and Italy. Frequent co-authors include Marta Fernández-Suárez, Bree B. Aldridge, Sarah M. Fortune, Daniel Irimia, Mehmet Toner, Ann Hochschild, Andy H. Yuan, Eleanor Fleming, Viknesh Sivanathan and David J. Asai. Their work appears in journals such as G3 Genes Genomes Genetics, Proceedings of the National Academy of Sciences, Annual Review of Virology, Nucleic Acids Research and Science.
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.