Danielle Tullman‐Ercek
- Biotechnology top 2%
- Ecology top 5%
- Bacteriophages and microbial interactions 28
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 14
- Microbial Metabolic Engineering and Bioproduction 14
- Protein Structure and Dynamics 8
- Genomics and Phylogenetic Studies 6
- CRISPR and Genetic Engineering 5
- Genetics top 5%
- Bacterial Genetics and Biotechnology 28
- Endocrinology top 5%
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- Biofuel production and bioconversion 6
- Co-authors
- George GeorgiouChristopher M. JakobsonJeff E. GlasgowEdward Y. KimMatthew B. FrancisChristopher A. VoigtBon IkwuagwuNolan W. Kennedy
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesPhilippinesRussia
In The Last Decade
Danielle Tullman‐Ercek
63 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 120
- Biotechnology 228
- Ecology 643
- Molecular Biology 1.7k
- Genetics 591
- Endocrinology 98
Countries citing papers authored by Danielle Tullman‐Ercek
This map shows the geographic impact of Danielle Tullman‐Ercek'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 Tullman‐Ercek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Tullman‐Ercek more than expected).
Fields of papers citing papers by Danielle Tullman‐Ercek
This network shows the impact of papers produced by Danielle Tullman‐Ercek. 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 Tullman‐Ercek. The network helps show where Danielle Tullman‐Ercek may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danielle Tullman‐Ercek, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 7 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 12 | |
| 9 | 2022 | 35 | |
| 10 | 2022 | 19 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 32 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 11 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 140 | |
| 19 | 2020 | 25 | |
| 20 | 2017 | 55 |
About Danielle Tullman‐Ercek
Danielle Tullman‐Ercek is a scholar working on Ecology, Genetics and Molecular Biology, having authored 66 papers that have together received 2.4k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (28 papers), Bacterial Genetics and Biotechnology (28 papers), RNA and protein synthesis mechanisms (14 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Protein Structure and Dynamics (8 papers), Genomics and Phylogenetic Studies (6 papers), Biofuel production and bioconversion (6 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Biotechnology (228 citations), Ecology (643 citations) and Molecular Biology (1.7k citations). Danielle Tullman‐Ercek has collaborated with scholars based in United States, Philippines and Russia. Frequent co-authors include George Georgiou, Christopher M. Jakobson, Jeff E. Glasgow, Edward Y. Kim, Matthew B. Francis, Christopher A. Voigt, Bon Ikwuagwu, Nolan W. Kennedy, Jay D. Keasling and Emily C. Hartman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.