Ava P. Amini
- Molecular Biology
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Safety Research top 10%
- Materials Chemistry
- Co-authors
- Sangeeta N. BhatiaWilko SchwartingDaniela RusAva P. SoleimanyKevin YangAlex X. LuSarah AlamdariJames Zou
- Topics
- Machine Learning in Bioinformatics (4 papers)Protein Structure and Dynamics (4 papers)Single-cell and spatial transcriptomics (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Ava P. Amini
11 papers receiving 266 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Molecular Biology 124
- Artificial Intelligence 64
- Computer Vision and Pattern Recognition 43
- Safety Research 32
- Materials Chemistry 27
Countries citing papers authored by Ava P. Amini
This map shows the geographic impact of Ava P. Amini'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 Ava P. Amini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ava P. Amini more than expected).
Fields of papers citing papers by Ava P. Amini
This network shows the impact of papers produced by Ava P. Amini. 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 Ava P. Amini. The network helps show where Ava P. Amini may publish in the future.
Co-authorship network of co-authors of Ava P. Amini
This figure shows the co-authorship network connecting the top 25 collaborators of Ava P. Amini. A scholar is included among the top collaborators of Ava P. Amini 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 Ava P. Amini. Ava P. Amini 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | Zero-shot evaluation reveals limitations of single-cell foundation modelsbreakdown → | 18 |
| 6 | 3 | |
| 7 | Protein structure generation via folding diffusionbreakdown → | 76 |
| 8 | 9 | |
| 9 | 25 | |
| 10 | 32 | |
| 11 | 1 | |
| 12 | 108 |
About Ava P. Amini
Ava P. Amini is a scholar working on Biophysics, Molecular Biology and Computational Theory and Mathematics, having authored 12 papers that have together received 277 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Health Informatics (15 citations), Safety Research (32 citations) and Computer Vision and Pattern Recognition (43 citations). Ava P. Amini has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Sangeeta N. Bhatia, Wilko Schwarting, Daniela Rus, Ava P. Soleimany, Kevin Yang, Alex X. Lu, Sarah Alamdari, James Zou, Rianne van den Berg and Kevin Wu. Their work appears in journals such as Cell, Nature Communications and Bioinformatics.
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.