Miranda G.S. Yap
- Molecular Biology top 2%
- Genetics top 2%
- Radiology, Nuclear Medicine and Imaging top 2%
- Biotechnology top 1%
- Biomedical Engineering top 10%
- Co-authors
- Vincent VagenendeBernhardt L. TroutKatie F. WlaschinKarthik P. JayapalKathy WongDanny WongNiki S.C. WongWei Hu
- Topics
- Viral Infectious Diseases and Gene Expression in Insects (40 papers)Virus-based gene therapy research (17 papers)Protein purification and stability (13 papers)
- Partner nations
- SingaporeUnited StatesUnited Kingdom
In The Last Decade
Miranda G.S. Yap
56 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 3.0k
- Genetics 757
- Radiology, Nuclear Medicine and Imaging 720
- Biotechnology 376
- Biomedical Engineering 261
Countries citing papers authored by Miranda G.S. Yap
This map shows the geographic impact of Miranda G.S. Yap'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 Miranda G.S. Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miranda G.S. Yap more than expected).
Fields of papers citing papers by Miranda G.S. Yap
This network shows the impact of papers produced by Miranda G.S. Yap. 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 Miranda G.S. Yap. The network helps show where Miranda G.S. Yap may publish in the future.
Co-authorship network of co-authors of Miranda G.S. Yap
This figure shows the co-authorship network connecting the top 25 collaborators of Miranda G.S. Yap. A scholar is included among the top collaborators of Miranda G.S. Yap based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miranda G.S. Yap. Miranda G.S. Yap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 25 | |
| 3 | 99 | |
| 4 | 106 | |
| 5 | 41 | |
| 6 | 99 | |
| 7 | 114 | |
| 8 | 28 | |
| 9 | 25 | |
| 10 | Recombinant protein therapeutics from CHO cells : 20 years and counting | 350 |
| 11 | 89 | |
| 12 | 39 | |
| 13 | 19 | |
| 14 | 64 | |
| 15 | 24 | |
| 16 | 29 | |
| 17 | 138 | |
| 18 | 99 | |
| 19 | 15 | |
| 20 | New Thermophilic Anaerobes That Decompose Crystalline Cellulose | 6 |
About Miranda G.S. Yap
Miranda G.S. Yap is a scholar working on Molecular Biology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Viral Infectious Diseases and Gene Expression in Insects (40 papers), Virus-based gene therapy research (17 papers) and Protein purification and stability (13 papers). The work is most often cited by research in Biotechnology (376 citations), Molecular Biology (3.0k citations) and Radiology, Nuclear Medicine and Imaging (720 citations). Miranda G.S. Yap has collaborated with scholars based in Singapore, United States and United Kingdom. Frequent co-authors include Vincent Vagenende, Bernhardt L. Trout, Katie F. Wlaschin, Karthik P. Jayapal, Kathy Wong, Danny Wong, Niki S.C. Wong, Wei Hu, Daniel I. C. Wang and Chew‐Kiat Heng. Their work appears in journals such as The Journal of Physical Chemistry B, Biochemistry and Stem Cells.
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.