Donald J. Jacobs
- Molecular Biology top 5%
- Materials Chemistry top 5%
- Computational Theory and Mathematics top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Condensed Matter Physics top 5%
- Co-authors
- M. F. ThorpeCharles DavidDennis R. LivesayAndrew J. RaderLeslie A. KuhnBruce HendricksonSargis DallakyanMykyta V. Chubynsky
- Topics
- Protein Structure and Dynamics (42 papers)Enzyme Structure and Function (19 papers)Theoretical and Computational Physics (12 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyPhysical Review Letters
- Partner nations
- United StatesMalaysiaNew Zealand
In The Last Decade
Donald J. Jacobs
101 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Molecular Biology 2.2k
- Materials Chemistry 1.3k
- Computational Theory and Mathematics 530
- Atomic and Molecular Physics, and Optics 419
- Condensed Matter Physics 335
Countries citing papers authored by Donald J. Jacobs
This map shows the geographic impact of Donald J. Jacobs'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 Donald J. Jacobs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donald J. Jacobs more than expected).
Fields of papers citing papers by Donald J. Jacobs
This network shows the impact of papers produced by Donald J. Jacobs. 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 Donald J. Jacobs. The network helps show where Donald J. Jacobs may publish in the future.
Co-authorship network of co-authors of Donald J. Jacobs
This figure shows the co-authorship network connecting the top 25 collaborators of Donald J. Jacobs. A scholar is included among the top collaborators of Donald J. Jacobs 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 Donald J. Jacobs. Donald J. Jacobs 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 | 3 | |
| 3 | 8 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 1 | |
| 8 | 32 | |
| 9 | 0 | |
| 10 | 23 | |
| 11 | 3 | |
| 12 | 14 | |
| 13 | 25 | |
| 14 | 42 | |
| 15 | 43 | |
| 16 | 66 | |
| 17 | 44 | |
| 18 | 95 | |
| 19 | Effects of a Cooperative Learning Method on Mathematics Achievement and Affective Outcomes of Students in a Private Elementary School. | 16 |
| 20 | Generic Rigidity: The Pebble Game | 2 |
About Donald J. Jacobs
Donald J. Jacobs is a scholar working on Acoustics and Ultrasonics, Condensed Matter Physics and Statistical and Nonlinear Physics, having authored 105 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (42 papers), Enzyme Structure and Function (19 papers) and Theoretical and Computational Physics (12 papers). The work is most often cited by research in Computational Theory and Mathematics (530 citations), Ceramics and Composites (189 citations) and Molecular Biology (2.2k citations). Donald J. Jacobs has collaborated with scholars based in United States, Malaysia and New Zealand. Frequent co-authors include M. F. Thorpe, Charles David, Dennis R. Livesay, Andrew J. Rader, Leslie A. Kuhn, Bruce Hendrickson, Sargis Dallakyan, Mykyta V. Chubynsky, J. C. Phillips and Hisao Nakanishi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.
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.