Julia Liang
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Infectious Diseases top 10%
- Organic Chemistry
- Biological Psychiatry top 5%
- Co-authors
- Andrew HungTom C. KaragiannisEleni PitsillouKatherine VerverisKen NgKah Wai LimDimitrios BoskouNancy B. Ray
- Topics
- Computational Drug Discovery Methods (14 papers)SARS-CoV-2 and COVID-19 Research (10 papers)RNA and protein synthesis mechanisms (5 papers)
In The Last Decade
Julia Liang
35 papers receiving 583 citations
Peers
Comparison fields: 5 of 93
- Molecular Biology 231
- Computational Theory and Mathematics 191
- Infectious Diseases 138
- Organic Chemistry 87
- Biological Psychiatry 65
Countries citing papers authored by Julia Liang
This map shows the geographic impact of Julia Liang'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 Julia Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia Liang more than expected).
Fields of papers citing papers by Julia Liang
This network shows the impact of papers produced by Julia Liang. 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 Julia Liang. The network helps show where Julia Liang may publish in the future.
Co-authorship network of co-authors of Julia Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Julia Liang. A scholar is included among the top collaborators of Julia Liang 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 Julia Liang. Julia Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | 12 | |
| 11 | 9 | |
| 12 | 10 | |
| 13 | 62 | |
| 14 | 36 | |
| 15 | 44 | |
| 16 | 5 | |
| 17 | 17 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 49 |
About Julia Liang
Julia Liang is a scholar working on Biological Psychiatry, Computational Theory and Mathematics and Behavioral Neuroscience, having authored 37 papers that have together received 592 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), SARS-CoV-2 and COVID-19 Research (10 papers) and RNA and protein synthesis mechanisms (5 papers). The work is most often cited by research in Biological Psychiatry (65 citations), Behavioral Neuroscience (45 citations) and Computational Theory and Mathematics (191 citations). Julia Liang has collaborated with scholars based in Australia, Denmark and China. Frequent co-authors include Andrew Hung, Tom C. Karagiannis, Eleni Pitsillou, Katherine Ververis, Ken Ng, Kah Wai Lim, Dimitrios Boskou, Nancy B. Ray, Vı́ctor Guallar and Assam El‐Osta. Their work appears in journals such as Chemical Physics Letters, Molecules and Life Sciences.
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.