Kristy A. Carpenter
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Materials Chemistry
- Artificial Intelligence
- Pharmacology
- Co-authors
- Xudong HuangDavid S. CohenRuss B. AltmanHelgi I. IngólfssonHarsh BhatiaWilliam F. BennettBirgit SchiøttFelice C. Lightstone
- Topics
- Computational Drug Discovery Methods (6 papers)Machine Learning in Bioinformatics (3 papers)Protein Structure and Dynamics (3 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Kristy A. Carpenter
12 papers receiving 339 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 199
- Computational Theory and Mathematics 172
- Materials Chemistry 59
- Artificial Intelligence 28
- Pharmacology 23
Countries citing papers authored by Kristy A. Carpenter
This map shows the geographic impact of Kristy A. Carpenter'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 Kristy A. Carpenter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristy A. Carpenter more than expected).
Fields of papers citing papers by Kristy A. Carpenter
This network shows the impact of papers produced by Kristy A. Carpenter. 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 Kristy A. Carpenter. The network helps show where Kristy A. Carpenter may publish in the future.
Co-authorship network of co-authors of Kristy A. Carpenter
This figure shows the co-authorship network connecting the top 25 collaborators of Kristy A. Carpenter. A scholar is included among the top collaborators of Kristy A. Carpenter 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 Kristy A. Carpenter. Kristy A. Carpenter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 21 | |
| 5 | Training data composition affects performance of protein structure analysis algorithms. | 6 |
| 6 | 2 | |
| 7 | 45 | |
| 8 | 5 | |
| 9 | 18 | |
| 10 | Deep learning-based classification of multi-categorical Alzheimer's disease data. | 7 |
| 11 | 126 | |
| 12 | 103 | |
| 13 | Is it a Prime Time for AI-powered Virtual Drug Screening? | 2 |
About Kristy A. Carpenter
Kristy A. Carpenter is a scholar working on Computational Theory and Mathematics, Toxicology and Biophysics, having authored 13 papers that have together received 349 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Machine Learning in Bioinformatics (3 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Health Informatics (20 citations), Computational Theory and Mathematics (172 citations) and Molecular Biology (199 citations). Kristy A. Carpenter has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Xudong Huang, David S. Cohen, Russ B. Altman, Helgi I. Ingólfsson, Harsh Bhatia, William F. Bennett, Birgit Schiøtt, Felice C. Lightstone, Peer‐Timo Bremer and Pin‐Chia Hsu. Their work appears in journals such as The Journal of Physical Chemistry B, Molecules and Current Pharmaceutical Design.
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.