Sara Hooshangi
- Molecular Biology top 10%
- Genetics top 10%
- Biomedical Engineering
- Computer Science Applications top 5%
- Information Systems top 10%
- Co-authors
- Ron WeissStephan Y. ThibergeWilliam E. BentleyHsuan‐Chen WuChen‐Yu TsaoJames J. ValdésDavid KarigAbigail Kalmbach
- Topics
- Teaching and Learning Programming (10 papers)Gene Regulatory Network Analysis (7 papers)Software Engineering Research (5 papers)
- Journals
- Proceedings of the National Academy of SciencesBiophysical JournalCurrent Opinion in Biotechnology
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Sara Hooshangi
28 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 816
- Genetics 244
- Biomedical Engineering 178
- Computer Science Applications 68
- Information Systems 59
Countries citing papers authored by Sara Hooshangi
This map shows the geographic impact of Sara Hooshangi'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 Sara Hooshangi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sara Hooshangi more than expected).
Fields of papers citing papers by Sara Hooshangi
This network shows the impact of papers produced by Sara Hooshangi. 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 Sara Hooshangi. The network helps show where Sara Hooshangi may publish in the future.
Co-authorship network of co-authors of Sara Hooshangi
This figure shows the co-authorship network connecting the top 25 collaborators of Sara Hooshangi. A scholar is included among the top collaborators of Sara Hooshangi 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 Sara Hooshangi. Sara Hooshangi 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 | 2 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 4 | |
| 6 | 10 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | Code Quality: Examining the Efficacy of Automated Tools | 5 |
| 15 | 25 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 119 | |
| 19 | 111 | |
| 20 | 92 |
About Sara Hooshangi
Sara Hooshangi is a scholar working on Computer Science Applications, Software and Architecture, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Teaching and Learning Programming (10 papers), Gene Regulatory Network Analysis (7 papers) and Software Engineering Research (5 papers). The work is most often cited by research in Computer Science Applications (68 citations), Molecular Biology (816 citations) and Biophysics (57 citations). Sara Hooshangi has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Ron Weiss, Stephan Y. Thiberge, William E. Bentley, Hsuan‐Chen Wu, Chen‐Yu Tsao, James J. Valdés, David Karig, Abigail Kalmbach, Ilka Arun Netravali and Subhayu Basu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal and Current Opinion in Biotechnology.
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.