Serina Huang
About
In The Last Decade
Serina Huang
7 papers receiving 365 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Genetics 202
- Molecular Biology 136
- Surgery 120
- Endocrinology, Diabetes and Metabolism 88
- Immunology 86
Countries citing papers authored by Serina Huang
This map shows the geographic impact of Serina Huang'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 Serina Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serina Huang more than expected).
Fields of papers citing papers by Serina Huang
This network shows the impact of papers produced by Serina Huang. 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 Serina Huang. The network helps show where Serina Huang may publish in the future.
Co-authorship network of co-authors of Serina Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Serina Huang. A scholar is included among the top collaborators of Serina Huang 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 Serina Huang. Serina Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | Interpreting type 1 diabetes risk with genetics and single-cell epigenomics breakdown → | 205 |
| 5 | 89 | |
| 6 | 2 | |
| 7 | 47 |
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.