Danielle M. Heller
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
Papers in
-
- Protein Structure and Dynamics 2
- CRISPR and Genetic Engineering 2
- Prion Diseases and Protein Misfolding 1
- Ecology 4
- Bacteriophages and microbial interactions 4
- Co-authors
- Bree B. Aldridge (1 shared paper)Mehmet Toner (1 shared paper)Sarah M. Fortune (1 shared paper)Daniel Irimia (1 shared paper)Marta Fernández-Suárez (1 shared paper)Ann Hochschild (3 shared papers)Eleanor Fleming (1 shared paper)Andy H. Yuan (1 shared paper)
- Journals
- G3 Genes Genomes Genetics (2 papers)Proceedings of the National Academy of Sciences (1 paper)Nature Structural & Molecular Biology (1 paper)Annual Review of Virology (1 paper)Science (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Danielle M. Heller
7 papers receiving 424 citations
Peers
Comparison fields: 5 of 60
- Molecular Medicine 68
- Infectious Diseases 164
- Endocrinology 34
- Genetics 162
- Epidemiology 164
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 | 340 | |
| 2 | 2017 | 36 | |
| 3 | 2019 | 22 | |
| 4 | 2024 | 12 | |
| 5 | 2018 | 7 | |
| 6 | 2022 | 6 | |
| 7 | 2010 | 5 | |
| 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 428 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers), Mycobacterium research and diagnosis (2 papers), Enzyme Structure and Function (2 papers), Protein Structure and Dynamics (2 papers), CRISPR and Genetic Engineering (2 papers), Prion Diseases and Protein Misfolding (1 paper) and Escherichia coli research studies (1 paper). The work is most often cited by research in Molecular Medicine (68 citations), Infectious Diseases (164 citations), Endocrinology (34 citations), Genetics (162 citations) and Epidemiology (164 citations). Danielle M. Heller has collaborated with scholars based in United States and Italy. Frequent co-authors include Bree B. Aldridge, Mehmet Toner, Sarah M. Fortune, Daniel Irimia, Marta Fernández-Suárez, Ann Hochschild, Eleanor Fleming, Andy H. Yuan, Viknesh Sivanathan and Graham F. Hatfull. Their work appears in journals such as G3 Genes Genomes Genetics, Proceedings of the National Academy of Sciences, Nature Structural & Molecular Biology, Annual Review of Virology 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.