Hannah E. Rockwell
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Molecular Biology top 10%
- Extracellular vesicles in disease
- RNA Interference and Gene Delivery
- Metabolomics and Mass Spectrometry Studies
- Circular RNAs in diseases
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Glycosylation and Glycoproteins Research 2
- Mitochondrial Function and Pathology 2
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- Lysosomal Storage Disorders Research 5
- Co-authors
- Fei Gao (5 shared papers)Niven R. Narain (6 shared papers)Michael A. Kiebish (6 shared papers)Ellen Sapp (1 shared paper)Anastasia Khvorova (1 shared paper)Marie-Cécile Didiot (1 shared paper)John Leszyk (1 shared paper)Reka A. Haraszti (1 shared paper)
- Journals
- Annals of Neurology (1 paper)Cancer Research (1 paper)Neurochemical Research (1 paper)ASN NEURO (1 paper)Gene Therapy (1 paper)
- Partner nations
- United States
In The Last Decade
Hannah E. Rockwell
11 papers receiving 786 citations
Hannah E. Rockwell's Hit Papers
Peers
Comparison fields: 5 of 90
- Cancer Research 298
- Molecular Biology 657
- Immunology and Allergy 34
- Genetics 46
- Immunology 90
Countries citing papers authored by Hannah E. Rockwell
This map shows the geographic impact of Hannah E. Rockwell'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 E. Rockwell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah E. Rockwell more than expected).
Fields of papers citing papers by Hannah E. Rockwell
This network shows the impact of papers produced by Hannah E. Rockwell. 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 E. Rockwell. The network helps show where Hannah E. Rockwell may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah E. Rockwell, 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 | High‐resolution proteomic and lipidomic analysis of exosomes and microvesicles from different cell sources Hit paper breakdown → | 2016 | 579 |
| 2 | 2014 | 52 | |
| 3 | 2015 | 42 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 24 | |
| 6 | 2018 | 22 | |
| 7 | 2016 | 19 | |
| 8 | 2013 | 17 | |
| 9 | 2014 | 5 | |
| 10 | 2023 | 2 | |
| 11 | 2015 | 2 | |
| 12 | 2018 | 0 |
About Hannah E. Rockwell
Hannah E. Rockwell is a scholar working on Molecular Biology, Physiology, Spectroscopy, Genetics and Epidemiology, having authored 12 papers that have together received 797 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Mass Spectrometry Techniques and Applications (3 papers), Glycosylation and Glycoproteins Research (2 papers), Mitochondrial Function and Pathology (2 papers), Virus-based gene therapy research (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Cancer Research (298 citations), Molecular Biology (657 citations), Immunology and Allergy (34 citations), Genetics (46 citations) and Immunology (90 citations). Hannah E. Rockwell has collaborated with scholars based in United States. Frequent co-authors include Fei Gao, Niven R. Narain, Michael A. Kiebish, Ellen Sapp, Anastasia Khvorova, Marie-Cécile Didiot, John Leszyk, Reka A. Haraszti, Marian DiFiglia and Scott A. Shaffer. Their work appears in journals such as Annals of Neurology, Cancer Research, Neurochemical Research, ASN NEURO and Gene Therapy.
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.