Fern Sha
Impact in
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Glycosylation and Glycoproteins Research 2
- Protein Tyrosine Phosphatases 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
- Retinal Development and Disorders 1
- Co-authors
- Shohei Koide (4 shared papers)Ankit Gupta (1 shared paper)Gabriel Salzman (1 shared paper)Akiko Koide (3 shared papers)Oliver Hantschel (2 shared papers)Sandrine Georgeon (1 shared paper)N. Yasui (1 shared paper)Eric R. Schreiter (2 shared papers)
- Journals
- Journal of Molecular Biology (2 papers)Molecular Therapy — Methods & Clinical Development (1 paper)Protein Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Journal of Physiology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Fern Sha
8 papers receiving 301 citations
Peers
Comparison fields: 5 of 62
- Radiology, Nuclear Medicine and Imaging 101
- Biophysics 19
- Molecular Biology 206
- Structural Biology 4
- Biotechnology 20
Countries citing papers authored by Fern Sha
This map shows the geographic impact of Fern Sha'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 Fern Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fern Sha more than expected).
Fields of papers citing papers by Fern Sha
This network shows the impact of papers produced by Fern Sha. 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 Fern Sha. The network helps show where Fern Sha may publish in the future.
Co-authors
The 25 scholars most cited alongside Fern Sha, 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 | 2017 | 122 | |
| 2 | 2013 | 80 | |
| 3 | 2017 | 27 | |
| 4 | 2016 | 26 | |
| 5 | 2008 | 23 | |
| 6 | 2020 | 18 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 4 |
About Fern Sha
Fern Sha is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Radiology, Nuclear Medicine and Imaging and Biophysics, having authored 8 papers that have together received 305 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Glycosylation and Glycoproteins Research (2 papers), Protein Tyrosine Phosphatases (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Galectins and Cancer Biology (1 paper) and Retinal Development and Disorders (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (101 citations), Biophysics (19 citations), Molecular Biology (206 citations), Structural Biology (4 citations) and Biotechnology (20 citations). Fern Sha has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Shohei Koide, Ankit Gupta, Gabriel Salzman, Akiko Koide, Oliver Hantschel, Sandrine Georgeon, N. Yasui, Eric R. Schreiter, Ronak Patel and Ahmed S. Abdelfattah. Their work appears in journals such as Journal of Molecular Biology, Molecular Therapy — Methods & Clinical Development, Protein Science, Proceedings of the National Academy of Sciences and The Journal of Physiology.
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.