Miriam Huntley
- Molecular Biology top 0.5%
- Plant Science top 0.5%
- Genetics top 1%
- Infectious Diseases top 2%
- Cancer Research top 5%
- Co-authors
- Neva C. DurandEric S. LanderErez Lieberman AidenSuhas S.P. RaoIdo MacholElena K. StamenovaAdrian L. SanbornIvan D. Bochkov
- Topics
- Antibiotic Resistance in Bacteria (5 papers)Genomics and Chromatin Dynamics (5 papers)Bacterial Identification and Susceptibility Testing (3 papers)
- Partner nations
- United StatesNorwayGermany
In The Last Decade
Miriam Huntley
17 papers receiving 8.8k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Molecular Biology 7.5k
- Plant Science 2.5k
- Genetics 1.6k
- Infectious Diseases 619
- Cancer Research 524
Countries citing papers authored by Miriam Huntley
This map shows the geographic impact of Miriam Huntley'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 Miriam Huntley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miriam Huntley more than expected).
Fields of papers citing papers by Miriam Huntley
This network shows the impact of papers produced by Miriam Huntley. 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 Miriam Huntley. The network helps show where Miriam Huntley may publish in the future.
Co-authorship network of co-authors of Miriam Huntley
This figure shows the co-authorship network connecting the top 25 collaborators of Miriam Huntley. A scholar is included among the top collaborators of Miriam Huntley based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miriam Huntley. Miriam Huntley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 14 | |
| 7 | 1 | |
| 8 | 71 | |
| 9 | Drug-Resistant E. coli Bacteremia Transmitted by Fecal Microbiota Transplantbreakdown → | 827 |
| 10 | 6 | |
| 11 | 181 | |
| 12 | Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experimentsbreakdown → | 2026 |
| 13 | 21 | |
| 14 | 82 | |
| 15 | Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomesbreakdown → | 1146 |
| 16 | 4 | |
| 17 | A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Loopingbreakdown → | 4449 |
About Miriam Huntley
Miriam Huntley is a scholar working on Molecular Medicine, Endocrinology and Applied Microbiology and Biotechnology, having authored 17 papers that have together received 8.9k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), Genomics and Chromatin Dynamics (5 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Molecular Biology (7.5k citations), Plant Science (2.5k citations) and Genetics (1.6k citations). Miriam Huntley has collaborated with scholars based in United States, Norway and Germany. Frequent co-authors include Neva C. Durand, Eric S. Lander, Erez Lieberman Aiden, Suhas S.P. Rao, Ido Machol, Elena K. Stamenova, Adrian L. Sanborn, Ivan D. Bochkov, Arina D. Omer and James Robinson. Their work appears in journals such as New England Journal of Medicine, Cell and Proceedings of the National Academy of Sciences.
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.