Andrew Dickson White
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Surfaces, Coatings and Films top 1%
- Biomedical Engineering top 10%
- Biomaterials top 5%
- Co-authors
- Shaoyi JiangAnn K. NowinskiAndrew J. KeefeQing ShaoFang SunGregory A. VothYi HeGeemi P. Wellawatte
- Topics
- Machine Learning in Materials Science (16 papers)Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (10 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Andrew Dickson White
74 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 914
- Materials Chemistry 717
- Surfaces, Coatings and Films 472
- Biomedical Engineering 419
- Biomaterials 344
Countries citing papers authored by Andrew Dickson White
This map shows the geographic impact of Andrew Dickson White'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 Andrew Dickson White with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Dickson White more than expected).
Fields of papers citing papers by Andrew Dickson White
This network shows the impact of papers produced by Andrew Dickson White. 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 Andrew Dickson White. The network helps show where Andrew Dickson White may publish in the future.
Co-authorship network of co-authors of Andrew Dickson White
This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Dickson White. A scholar is included among the top collaborators of Andrew Dickson White 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 Andrew Dickson White. Andrew Dickson White is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | Augmenting large language models with chemistry toolsbreakdown → | 268 |
| 4 | 35 | |
| 5 | 51 | |
| 6 | 12 | |
| 7 | 57 | |
| 8 | 7 | |
| 9 | 2 | |
| 10 | 68 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 38 | |
| 14 | 37 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 10 | |
| 18 | 205 | |
| 19 | 2 | |
| 20 | A history of the warfare of science and theology in Christendom | 4 |
About Andrew Dickson White
Andrew Dickson White is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Family Practice, having authored 76 papers that have together received 2.6k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (16 papers), Computational Drug Discovery Methods (11 papers) and Protein Structure and Dynamics (10 papers). The work is most often cited by research in Surfaces, Coatings and Films (472 citations), Biomaterials (344 citations) and Health Informatics (33 citations). Andrew Dickson White has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Shaoyi Jiang, Shaoyi Jiang, Ann K. Nowinski, Andrew J. Keefe, Qing Shao, Fang Sun, Gregory A. Voth, Yi He, Geemi P. Wellawatte and Sam Cox. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Biomaterials.
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.