Douglas S. Auld
- Molecular Biology top 1%
- Computational Theory and Mathematics top 0.5%
- Cancer Research top 2%
- Oncology top 5%
- Organic Chemistry top 5%
- Co-authors
- James IngleseNatasha ThorneChristopher P. AustinAnton SimeonovMin ShenWei ZhengRonald L. JohnsonCraig J. Thomas
- Topics
- bioluminescence and chemiluminescence research (18 papers)Computational Drug Discovery Methods (18 papers)Cell Image Analysis Techniques (15 papers)
- Journals
- ScienceProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Douglas S. Auld
119 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 4.8k
- Computational Theory and Mathematics 1.1k
- Cancer Research 1.0k
- Oncology 663
- Organic Chemistry 625
Countries citing papers authored by Douglas S. Auld
This map shows the geographic impact of Douglas S. Auld'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 Douglas S. Auld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas S. Auld more than expected).
Fields of papers citing papers by Douglas S. Auld
This network shows the impact of papers produced by Douglas S. Auld. 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 Douglas S. Auld. The network helps show where Douglas S. Auld may publish in the future.
Co-authorship network of co-authors of Douglas S. Auld
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas S. Auld. A scholar is included among the top collaborators of Douglas S. Auld 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 Douglas S. Auld. Douglas S. Auld is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 37 | |
| 3 | 33 | |
| 4 | 59 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | Toward Improved Therapy for Classic Galactosemia | 2 |
| 8 | 8 | |
| 9 | 148 | |
| 10 | 2 | |
| 11 | 45 | |
| 12 | 38 | |
| 13 | 46 | |
| 14 | 108 | |
| 15 | 21 | |
| 16 | 473 | |
| 17 | Quantitative high-throughput screening: A titration-based approach that efficiently identifies biological activities in large chemical librariesbreakdown → | 623 |
| 18 | 5 | |
| 19 | 21 | |
| 20 | 1 |
About Douglas S. Auld
Douglas S. Auld is a scholar working on Biophysics, Chemical Health and Safety and Biochemistry, having authored 120 papers that have together received 7.1k indexed citations. Recurring topics across this work include bioluminescence and chemiluminescence research (18 papers), Computational Drug Discovery Methods (18 papers) and Cell Image Analysis Techniques (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.1k citations), Molecular Biology (4.8k citations) and Cancer Research (1.0k citations). Douglas S. Auld has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include James Inglese, Natasha Thorne, Christopher P. Austin, Anton Simeonov, Min Shen, Wei Zheng, Ronald L. Johnson, Craig J. Thomas, Ajit Jadhav and Matthew B. Boxer. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.