Stephen Whitelam

6.3k total citations · 3 hit papers
84 papers, 5.0k citations indexed

About

Stephen Whitelam is a scholar working on Materials Chemistry, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Stephen Whitelam has authored 84 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Materials Chemistry, 24 papers in Molecular Biology and 19 papers in Statistical and Nonlinear Physics. Recurrent topics in Stephen Whitelam's work include Advanced Thermodynamics and Statistical Mechanics (18 papers), Supramolecular Self-Assembly in Materials (15 papers) and Theoretical and Computational Physics (11 papers). Stephen Whitelam is often cited by papers focused on Advanced Thermodynamics and Statistical Mechanics (18 papers), Supramolecular Self-Assembly in Materials (15 papers) and Theoretical and Computational Physics (11 papers). Stephen Whitelam collaborates with scholars based in United States, United Kingdom and Canada. Stephen Whitelam's co-authors include Jillian F. Banfield, James J. De Yoreo, Adam F. Wallace, Haimei Zheng, Hong‐Gang Liao, Likun Cui, Lester O. Hedges, Alexandra Navrotsky, Derk Joester and Helmut Cölfen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Stephen Whitelam

80 papers receiving 5.0k citations

Hit Papers

Crystallization by partic... 2012 2026 2016 2021 2015 2012 2013 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Whitelam 2.3k 1.5k 944 844 493 84 5.0k
Paolo Raiteri 2.5k 1.1× 2.2k 1.4× 1.5k 1.6× 986 1.2× 437 0.9× 121 7.4k
Xianren Zhang 1.3k 0.6× 690 0.5× 1.0k 1.1× 1.5k 1.8× 419 0.8× 203 5.5k
Christine A. Orme 1.8k 0.8× 1.4k 0.9× 372 0.4× 1.1k 1.3× 276 0.6× 101 4.7k
Tiffany R. Walsh 2.5k 1.1× 1.6k 1.0× 1.6k 1.7× 1.1k 1.3× 226 0.5× 187 6.1k
Dirk Zahn 1.9k 0.8× 802 0.5× 334 0.4× 949 1.1× 219 0.4× 210 4.3k
Michael Sztucki 2.0k 0.8× 810 0.5× 731 0.8× 1.1k 1.3× 157 0.3× 130 4.7k
Theyencheri Narayanan 3.2k 1.4× 1.4k 0.9× 2.2k 2.3× 1.7k 2.0× 246 0.5× 243 9.1k
Takashi Nakagawa 1.7k 0.7× 400 0.3× 527 0.6× 797 0.9× 281 0.6× 249 5.1k
Stephen T. Hyde 3.2k 1.4× 1.1k 0.7× 1000 1.1× 925 1.1× 114 0.2× 152 7.8k
P. Mark Rodger 1.1k 0.5× 911 0.6× 743 0.8× 589 0.7× 148 0.3× 111 5.3k

Countries citing papers authored by Stephen Whitelam

Since Specialization
Citations

This map shows the geographic impact of Stephen Whitelam'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 Stephen Whitelam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Whitelam more than expected).

Fields of papers citing papers by Stephen Whitelam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Whitelam. 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 Stephen Whitelam. The network helps show where Stephen Whitelam may publish in the future.

Co-authorship network of co-authors of Stephen Whitelam

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Whitelam. A scholar is included among the top collaborators of Stephen Whitelam 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 Stephen Whitelam. Stephen Whitelam 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.
Whitelam, Stephen, et al.. (2025). Competing addition processes give distinct growth regimes in the assembly of 1D filaments. Biophysical Journal. 124(5). 778–788. 1 indexed citations
2.
Whitelam, Stephen. (2024). Free-energy estimates from nonequilibrium trajectories under varying-temperature protocols. Physical review. E. 110(1). 14142–14142.
3.
Dehaen, Wim, et al.. (2024). On the origin of cooperativity effects in the formation of self-assembled molecular networks at the liquid/solid interface. Chemical Science. 15(16). 6076–6087. 3 indexed citations
4.
Whitelam, Stephen. (2023). Demon in the Machine: Learning to Extract Work and Absorb Entropy from Fluctuating Nanosystems. Physical Review X. 13(2). 8 indexed citations
5.
Whitelam, Stephen & Isaac Tamblyn. (2020). Learning to grow: Control of material self-assembly using evolutionary reinforcement learning. Physical review. E. 101(5). 52604–52604. 47 indexed citations
6.
Rangan, Sylvie, et al.. (2019). Growth of a highly ordered inhomogeneous kinetically trapped molecular monolayer. Physical review. B.. 100(24). 2 indexed citations
7.
Jacobson, Daniel & Stephen Whitelam. (2019). Direct evaluation of dynamical large-deviation rate functions using a variational ansatz. Physical review. E. 100(5). 52139–52139. 16 indexed citations
8.
Kundu, Joyjit, Jürgen F. Stilck, Jung‐Hoon Lee, et al.. (2018). Cooperative Gas Adsorption without a Phase Transition in Metal-Organic Frameworks. Physical Review Letters. 121(1). 15701–15701. 21 indexed citations
9.
Yoreo, Jim De & Stephen Whitelam. (2016). Nucleation in atomic, molecular, and colloidal systems. MRS Bulletin. 41(5). 357–360. 11 indexed citations
10.
Mannige, Ranjan V., Thomas K. Haxton, Caroline Proulx, et al.. (2015). Peptoid nanosheets exhibit a new secondary-structure motif. Nature. 526(7573). 415–420. 180 indexed citations
11.
Whitelam, Stephen, Isaac Tamblyn, Juan P. Garrahan, & Peter H. Beton. (2015). Emergent Rhombus Tilings from Molecular Interactions with M-fold Rotational Symmetry. Physical Review Letters. 114(11). 115702–115702. 16 indexed citations
12.
Wallace, Adam F., Lester O. Hedges, Alejandro Fernández‐Martínez, et al.. (2013). Microscopic Evidence for Liquid-Liquid Separation in Supersaturated CaCO 3 Solutions. Science. 341(6148). 885–889. 434 indexed citations breakdown →
13.
Haxton, Thomas K., Hui Zhou, Isaac Tamblyn, et al.. (2013). Competing Thermodynamic and Dynamic Factors Select Molecular Assemblies on a Gold Surface. Physical Review Letters. 111(26). 265701–265701. 14 indexed citations
14.
Whitelam, Stephen, Isaac Tamblyn, Peter H. Beton, & Juan P. Garrahan. (2012). Random and Ordered Phases of Off-Lattice Rhombus Tiles. Physical Review Letters. 108(3). 35702–35702. 28 indexed citations
15.
Schmit, Jeremy D., Stephen Whitelam, & Ken A. Dill. (2010). Competition between counterion entropy and local binding selects dimensionality of charged nanostructures. arXiv (Cornell University). 1 indexed citations
16.
Chung, Sungwook, Seong‐Ho Shin, Stephen Whitelam, Carolyn R. Bertozzi, & Jim De Yoreo. (2010). S-Layer Self-Assembly on Supported Lipid-Bilayers: The Importance of Amorphous Precursors and Folding Transitions. Biophysical Journal. 98(3). 10a–10a. 2 indexed citations
17.
Whitelam, Stephen. (2010). Control of Pathways and Yields of Protein Crystallization through the Interplay of Nonspecific and Specific Attractions. Physical Review Letters. 105(8). 88102–88102. 74 indexed citations
18.
Whitelam, Stephen, et al.. (2008). The Impact of Conformational Fluctuations on Self-Assembly: Cooperative Aggregation of Archaeal Chaperonin Proteins. Nano Letters. 9(1). 292–297. 26 indexed citations
19.
Whitelam, Stephen, Sander Pronk, & Phillip L. Geissler. (2007). There and (Slowly) Back Again: Entropy-Driven Hysteresis in a Model of DNA Overstretching. Biophysical Journal. 94(7). 2452–2469. 40 indexed citations
20.
Whitelam, Stephen, Ludovic Berthier, & Juan P. Garrahan. (2004). Dynamic Criticality in Glass-Forming Liquids. Physical Review Letters. 92(18). 185705–185705. 129 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.

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