Beth Sharkey
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
-
- Protein purification and stability
- Viral Infectious Diseases and Gene Expression in Insects
- Glycosylation and Glycoproteins Research
- vaccines and immunoinformatics approaches
Papers in
-
- Protein purification and stability 3
- Glycosylation and Glycoproteins Research 1
-
- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- Juergen H. Nett (2 shared papers)Hemanta Baruah (2 shared papers)Heather Lynaugh (3 shared papers)K. Dane Wittrup (2 shared papers)Tushar Jain (2 shared papers)Michael E. Brown (2 shared papers)Laura Gray (1 shared paper)Stéphanie Durand (1 shared paper)
- Journals
- mAbs (2 papers)Proceedings of the National Academy of Sciences (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Beth Sharkey
4 papers receiving 418 citations
Beth Sharkey's Hit Papers
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 378
- Molecular Biology 381
- Immunology 93
- Biotechnology 28
- Oncology 46
Countries citing papers authored by Beth Sharkey
This map shows the geographic impact of Beth Sharkey'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 Beth Sharkey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beth Sharkey more than expected).
Fields of papers citing papers by Beth Sharkey
This network shows the impact of papers produced by Beth Sharkey. 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 Beth Sharkey. The network helps show where Beth Sharkey may publish in the future.
Co-authors
The 25 scholars most cited alongside Beth Sharkey, 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 | Biophysical properties of the clinical-stage antibody landscape Hit paper breakdown → | 2017 | 436 |
| 2 | 2016 | 26 | |
| 3 | 2025 | 3 | |
| 4 | 2022 | 2 |
About Beth Sharkey
Beth Sharkey is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Biomedical Engineering and Materials Chemistry, having authored 4 papers that have together received 467 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers), Microfluidic and Capillary Electrophoresis Applications (1 paper), Biosimilars and Bioanalytical Methods (1 paper), Glycosylation and Glycoproteins Research (1 paper), Galectins and Cancer Biology (1 paper) and Enzyme Structure and Function (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (378 citations), Molecular Biology (381 citations), Immunology (93 citations), Biotechnology (28 citations) and Oncology (46 citations). Beth Sharkey has collaborated with scholars based in United States and Israel. Frequent co-authors include Juergen H. Nett, Hemanta Baruah, Heather Lynaugh, K. Dane Wittrup, Tushar Jain, Michael E. Brown, Laura Gray, Stéphanie Durand, Isabelle Caffry and Tingwan Sun. Their work appears in journals such as mAbs, Proceedings of the National Academy of Sciences and Methods in enzymology on CD-ROM/Methods in enzymology.
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.