Hannah Mack
Impact in
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing
Papers in
-
- Biosensors and Analytical Detection 3
- Muscle activation and electromyography studies 1
- Prosthetics and Rehabilitation Robotics 1
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- Molecular Biology Techniques and Applications 2
- Genomics and Phylogenetic Studies 1
- Co-authors
- Stephanie I. Fraley (4 shared papers)Shelley M. Lawrence (2 shared papers)Julietta Jupe (2 shared papers)Mridu Sinha (3 shared papers)Todd P. Coleman (3 shared papers)Daniel Ortiz Velez (1 shared paper)Yang Zhang (1 shared paper)Behnam Hedayatnia (1 shared paper)
- Journals
- SLAS TECHNOLOGY (1 paper)JPO Journal of Prosthetics and Orthotics (1 paper)Clinical Microbiology Reviews (1 paper)BMC Bioinformatics (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Hannah Mack
4 papers receiving 287 citations
Peers
Comparison fields: 5 of 50
- Clinical Biochemistry 106
- Applied Microbiology and Biotechnology 9
- Epidemiology 98
- Endocrinology 15
- Molecular Medicine 14
Countries citing papers authored by Hannah Mack
This map shows the geographic impact of Hannah Mack'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 Hannah Mack with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Mack more than expected).
Fields of papers citing papers by Hannah Mack
This network shows the impact of papers produced by Hannah Mack. 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 Hannah Mack. The network helps show where Hannah Mack may publish in the future.
Co-authors
The 10 scholars most cited alongside Hannah Mack, 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 | 2018 | 242 | |
| 2 | 2017 | 36 | |
| 3 | 2018 | 11 | |
| 4 | 2024 | 3 | |
| 5 | 2013 | 0 |
About Hannah Mack
Hannah Mack is a scholar working on Biomedical Engineering, Molecular Biology, Clinical Biochemistry, Ecology and Epidemiology, having authored 5 papers that have together received 292 indexed citations. Recurring topics across this work include Biosensors and Analytical Detection (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Molecular Biology Techniques and Applications (2 papers), Genomics and Phylogenetic Studies (1 paper), Muscle activation and electromyography studies (1 paper), Neonatal and Maternal Infections (1 paper), Prosthetics and Rehabilitation Robotics (1 paper) and Environmental DNA in Biodiversity Studies (1 paper). The work is most often cited by research in Clinical Biochemistry (106 citations), Applied Microbiology and Biotechnology (9 citations), Epidemiology (98 citations), Endocrinology (15 citations) and Molecular Medicine (14 citations). Hannah Mack has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Stephanie I. Fraley, Shelley M. Lawrence, Julietta Jupe, Mridu Sinha, Todd P. Coleman, Daniel Ortiz Velez, Yang Zhang, Behnam Hedayatnia, William D. Leineweber and David T. Pride. Their work appears in journals such as SLAS TECHNOLOGY, JPO Journal of Prosthetics and Orthotics, Clinical Microbiology Reviews, BMC Bioinformatics and Scientific Reports.
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.