Diane E. Frank
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Rehabilitation top 5%
Papers in
-
- Muscle Physiology and Disorders 11
- Extracellular vesicles in disease 1
- RNA Research and Splicing 1
-
- Hippo pathway signaling and YAP/TAZ 2
- Co-authors
- William G. Carter (2 shared papers)Jay S. Charleston (8 shared papers)Frederick J. Schnell (5 shared papers)Anthony J. Milici (5 shared papers)Geoffrey D. Young (5 shared papers)Sarah Lewis (5 shared papers)Zarife Sahenk (6 shared papers)Laurent Servais (1 shared paper)
- Journals
- Neuromuscular Disorders (4 papers)Neurology (2 papers)European Journal of Paediatric Neurology (1 paper)Archives of Pathology & Laboratory Medicine (1 paper)Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Diane E. Frank
15 papers receiving 778 citations
Peers
Comparison fields: 5 of 71
- Immunology and Allergy 112
- Rehabilitation 67
- Genetics 101
- Cell Biology 150
- Molecular Biology 580
Countries citing papers authored by Diane E. Frank
This map shows the geographic impact of Diane E. Frank'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 Diane E. Frank with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane E. Frank more than expected).
Fields of papers citing papers by Diane E. Frank
This network shows the impact of papers produced by Diane E. Frank. 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 Diane E. Frank. The network helps show where Diane E. Frank may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane E. Frank, 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 | 2020 | 229 | |
| 2 | 2018 | 169 | |
| 3 | 2004 | 148 | |
| 4 | 2019 | 63 | |
| 5 | 2007 | 47 | |
| 6 | 2017 | 45 | |
| 7 | 2008 | 28 | |
| 8 | 2017 | 21 | |
| 9 | 2004 | 19 | |
| 10 | 2018 | 11 | |
| 11 | 2019 | 7 | |
| 12 | 2017 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 1 | |
| 15 | 2016 | 1 |
About Diane E. Frank
Diane E. Frank is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Biomedical Engineering and Surgery, having authored 15 papers that have together received 793 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (11 papers), Cell Adhesion Molecules Research (3 papers), Bone Tissue Engineering Materials (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers), Extracellular vesicles in disease (1 paper), CAR-T cell therapy research (1 paper), RNA Research and Splicing (1 paper) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Immunology and Allergy (112 citations), Rehabilitation (67 citations), Genetics (101 citations), Cell Biology (150 citations) and Molecular Biology (580 citations). Diane E. Frank has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include William G. Carter, Jay S. Charleston, Frederick J. Schnell, Anthony J. Milici, Geoffrey D. Young, Sarah Lewis, Zarife Sahenk, Laurent Servais, Volker Straub and Francesco Muntoni. Their work appears in journals such as Neuromuscular Disorders, Neurology, European Journal of Paediatric Neurology, Archives of Pathology & Laboratory Medicine and Medicine.
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.