Donald J. Jacobs

5.6k total citations · 2 hit papers
105 papers, 4.1k citations indexed

About

Donald J. Jacobs is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Donald J. Jacobs has authored 105 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 31 papers in Materials Chemistry and 18 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Donald J. Jacobs's work include Protein Structure and Dynamics (42 papers), Enzyme Structure and Function (19 papers) and Theoretical and Computational Physics (12 papers). Donald J. Jacobs is often cited by papers focused on Protein Structure and Dynamics (42 papers), Enzyme Structure and Function (19 papers) and Theoretical and Computational Physics (12 papers). Donald J. Jacobs collaborates with scholars based in United States, Malaysia and New Zealand. Donald J. Jacobs's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Physical Review Letters.

In The Last Decade

Donald J. Jacobs

101 papers receiving 4.0k citations

Hit Papers

Principal Component Analysis: A Method for D... 2001 2026 2009 2017 2013 2001 250 500 750

Peers

Donald J. Jacobs
Pratyush Tiwary United States
I. Kovács Hungary
Christopher R. Myers United States
Oliver Beckstein United States
Pratyush Tiwary United States
Donald J. Jacobs
Citations per year, relative to Donald J. Jacobs Donald J. Jacobs (= 1×) peers Pratyush Tiwary

Countries citing papers authored by Donald J. Jacobs

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Jacobs, Donald J., et al.. (2023). Probability Density Estimation through Nonparametric Adaptive Partitioning and Stitching. Algorithms. 16(7). 310–310. 1 indexed citations
2.
David, Charles, et al.. (2021). JEDi: java essential dynamics inspector — a molecular trajectory analysis toolkit. BMC Bioinformatics. 22(1). 226–226. 3 indexed citations
3.
Liebovitch, Larry S., Peter T. Coleman, J. Kevin Donahue, et al.. (2019). Complexity analysis of sustainable peace: mathematical models and data science measurements. New Journal of Physics. 21(7). 73022–73022. 8 indexed citations
4.
Gray, Alexander, et al.. (2019). Universal Sample Size Invariant Measures for Uncertainty Quantification in Density Estimation. Entropy. 21(11). 1120–1120. 6 indexed citations
5.
Singam, Ettayapuram Ramaprasad Azhagiya, et al.. (2018). Molecular clustering and percolation characteristics near the glass transition in aqueous trehalose and choline dihydrogen phosphate solutions. Physical Chemistry Chemical Physics. 20(32). 20899–20909. 1 indexed citations
6.
David, Charles, Ettayapuram Ramaprasad Azhagiya Singam, & Donald J. Jacobs. (2017). JED: a Java Essential Dynamics Program for comparative analysis of protein trajectories. BMC Bioinformatics. 18(1). 271–271. 12 indexed citations
7.
González, Luis C., Hui Wang, Dennis R. Livesay, & Donald J. Jacobs. (2015). A virtual pebble game to ensemble average graph rigidity. Algorithms for Molecular Biology. 10(1). 11–11. 1 indexed citations
8.
Li, Tong, Malgorzata B. Tracka, Shahid Uddin, et al.. (2015). Rigidity Emerges during Antibody Evolution in Three Distinct Antibody Systems: Evidence from QSFR Analysis of Fab Fragments. PLoS Computational Biology. 11(7). e1004327–e1004327. 32 indexed citations
9.
Verma, Deeptak, Jun‐tao Guo, Donald J. Jacobs, & Dennis R. Livesay. (2013). Towards Comprehensive Analysis of Protein Family Quantitative Stability–Flexibility Relationships Using Homology Models. Methods in molecular biology. 1084. 239–254.
10.
Trivedi, Darshan V., Charles David, Donald J. Jacobs, & Christopher M. Yengo. (2012). Switch II Mutants Reveal Coupling between the Nucleotide- and Actin-Binding Regions in Myosin V. Biophysical Journal. 102(11). 2545–2555. 23 indexed citations
11.
Baker-Neblett, Katherine L., Andrij Baumketner, Yu‐Chun Lin, et al.. (2012). ICSM: An order method for calculating electrostatic interactions added to TINKER. Computer Physics Communications. 184(1). 19–26. 3 indexed citations
12.
Jacobs, Donald J., et al.. (2011). Ensemble Properties of Network Rigidity Reveal Allosteric Mechanisms. Methods in molecular biology. 796. 279–304. 14 indexed citations
13.
Mottonen, James, Donald J. Jacobs, & Dennis R. Livesay. (2010). Allosteric Response Is both Conserved and Variable across Three CheY Orthologs. Biophysical Journal. 99(7). 2245–2254. 25 indexed citations
14.
Livesay, Dennis R., et al.. (2008). Hydrogen bond networks determine emergent mechanical and thermodynamic properties across a protein family. Chemistry Central Journal. 2(1). 17–17. 42 indexed citations
15.
Jacobs, Donald J. & Sargis Dallakyan. (2004). Elucidating Protein Thermodynamics from the Three-Dimensional Structure of the Native State Using Network Rigidity. Biophysical Journal. 88(2). 903–915. 43 indexed citations
16.
Livesay, Dennis R., et al.. (2004). A flexible approach for understanding protein stability. FEBS Letters. 576(3). 468–476. 66 indexed citations
17.
Jacobs, Donald J., et al.. (2003). Network rigidity at finite temperature: Relationships between thermodynamic stability, the nonadditivity of entropy, and cooperativity in molecular systems. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(6). 61109–61109. 44 indexed citations
18.
Thorpe, M. F., Ming Lei, Andrew J. Rader, Donald J. Jacobs, & Leslie A. Kuhn. (2001). Protein flexibility and dynamics using constraint theory. Journal of Molecular Graphics and Modelling. 19(1). 60–69. 95 indexed citations
19.
Jacobs, Donald J., et al.. (1996). Effects of a Cooperative Learning Method on Mathematics Achievement and Affective Outcomes of Students in a Private Elementary School.. Journal of research and development in education. 29(4). 195–202. 16 indexed citations
20.
Jacobs, Donald J.. (1996). Generic Rigidity: The Pebble Game. APS March Meeting Abstracts. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026