John S. Schreck

1.5k total citations
31 papers, 952 citations indexed

About

John S. Schreck is a scholar working on Molecular Biology, Ecology and Global and Planetary Change. According to data from OpenAlex, John S. Schreck has authored 31 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Ecology and 6 papers in Global and Planetary Change. Recurrent topics in John S. Schreck's work include Advanced biosensing and bioanalysis techniques (10 papers), Protein Structure and Dynamics (7 papers) and Bacteriophages and microbial interactions (7 papers). John S. Schreck is often cited by papers focused on Advanced biosensing and bioanalysis techniques (10 papers), Protein Structure and Dynamics (7 papers) and Bacteriophages and microbial interactions (7 papers). John S. Schreck collaborates with scholars based in United States, United Kingdom and Italy. John S. Schreck's co-authors include Jonathan P. K. Doye, Flavio Romano, Ard A. Louis, Petr Šulc, Thomas E. Ouldridge, Jian‐Min Yuan, Benedict Snodin, Kyle J. M. Bishop, Connor W. Coley and Eyal Nir and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

John S. Schreck

28 papers receiving 944 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John S. Schreck United States 16 726 198 178 160 85 31 952
Hyo‐Joong Kim United States 20 1.2k 1.6× 86 0.4× 172 1.0× 218 1.4× 13 0.2× 37 1.8k
Satoshi Yasuda Japan 17 497 0.7× 110 0.6× 36 0.2× 101 0.6× 42 0.5× 62 864
Jeremy D. Schmit United States 18 922 1.3× 32 0.2× 117 0.7× 204 1.3× 43 0.5× 48 1.2k
Jackson K. B. Cahn United States 16 634 0.9× 31 0.2× 139 0.8× 340 2.1× 15 0.2× 25 1.2k
Pengfei Tian United States 17 551 0.8× 30 0.2× 125 0.7× 185 1.2× 17 0.2× 37 757
Valeria Cassina Italy 15 345 0.5× 46 0.2× 94 0.5× 55 0.3× 18 0.2× 36 569
Yi‐Hsuan Lin Canada 14 1.4k 1.9× 20 0.1× 82 0.5× 247 1.5× 23 0.3× 25 1.6k
Mimi Gao Germany 16 608 0.8× 31 0.2× 53 0.3× 164 1.0× 29 0.3× 25 848
Sayan Gupta United States 22 1.1k 1.5× 55 0.3× 67 0.4× 255 1.6× 22 0.3× 54 1.5k
Adiran Garaizar United Kingdom 14 877 1.2× 30 0.2× 29 0.2× 100 0.6× 11 0.1× 20 1.0k

Countries citing papers authored by John S. Schreck

Since Specialization
Citations

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

Fields of papers citing papers by John S. Schreck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John S. Schreck. 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 John S. Schreck. The network helps show where John S. Schreck may publish in the future.

Co-authorship network of co-authors of John S. Schreck

This figure shows the co-authorship network connecting the top 25 collaborators of John S. Schreck. A scholar is included among the top collaborators of John S. Schreck 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 John S. Schreck. John S. Schreck 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.
Jahan, Israt, John S. Schreck, David John Gagne, Charles Becker, & Marina Astitha. (2025). Uncertainty quantification of wind gust predictions in the northeast United States: An evidential neural network and explainable artificial intelligence approach. Environmental Modelling & Software. 193. 106595–106595.
2.
Zheng, Zhonghua, Sarah Lindley, Lei Zhao, et al.. (2025). Leveraging automated machine learning (AutoML) for urban climate emulation. Research Explorer (The University of Manchester). 1(3). 100040–100040.
3.
Schreck, John S., David John Gagne, Charles Becker, et al.. (2024). Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3(4). 8 indexed citations
4.
Schreck, John S., Pedro A. Jiménez, Jason C. Knievel, et al.. (2023). Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management. Remote Sensing. 15(13). 3372–3372. 6 indexed citations
5.
Doye, Jonathan P. K., Lorenzo Rovigatti, Flavio Romano, et al.. (2023). The oxDNA Coarse-Grained Model as a Tool to Simulate DNA Origami. Methods in molecular biology. 2639. 93–112. 16 indexed citations
6.
Yuan, Jian‐Min, et al.. (2022). Stochastic kinetic study of protein aggregation and molecular crowding effects of Aβ40 and Aβ42. Journal of the Chinese Chemical Society. 70(3). 579–588. 1 indexed citations
7.
Schreck, John S., Yu Zhou, Yan Liu, et al.. (2022). Generative and interpretable machine learning for aptamer design and analysis of in vitro sequence selection. PLoS Computational Biology. 18(9). e1010561–e1010561. 16 indexed citations
8.
Schreck, John S., et al.. (2022). Neural network processing of holographic images. Atmospheric measurement techniques. 15(19). 5793–5819. 6 indexed citations
9.
Fu, Daniel, Raghu Pradeep Narayanan, Fei Zhang, et al.. (2022). Automated design of 3D DNA origami with non-rasterized 2D curvature. Science Advances. 8(51). eade4455–eade4455. 16 indexed citations
10.
Fan, Hong, John S. Schreck, & Petr Šulc. (2020). Understanding DNA interactions in crowded environments with a coarse-grained model. Nucleic Acids Research. 48(19). 10726–10738. 27 indexed citations
11.
Schreck, John S., Connor W. Coley, & Kyle J. M. Bishop. (2019). Learning Retrosynthetic Planning through Simulated Experience. ACS Central Science. 5(6). 970–981. 106 indexed citations
12.
Khara, Dinesh Chandra, John S. Schreck, Toma E. Tomov, et al.. (2017). DNA bipedal motor walking dynamics: an experimental and theoretical study of the dependency on step size. Nucleic Acids Research. 46(3). 1553–1561. 27 indexed citations
13.
Schreck, John S., Slavko Čeru, Helena Gradišar, et al.. (2016). Design principles for rapid folding of knotted DNA nanostructures. Nature Communications. 7(1). 10803–10803. 37 indexed citations
14.
Reinhardt, Aleks, John S. Schreck, Flavio Romano, & Jonathan P. K. Doye. (2016). Self-assembly of two-dimensional binary quasicrystals: A possible route to a DNA quasicrystal. Oxford University Research Archive (ORA) (University of Oxford). 23 indexed citations
15.
Schreck, John S., Thomas E. Ouldridge, Flavio Romano, et al.. (2015). DNA hairpins destabilize duplexes primarily by promoting melting rather than by inhibiting hybridization. Nucleic Acids Research. 43(13). 6181–6190. 43 indexed citations
16.
Snodin, Benedict, Majid Mosayebi, Petr Šulc, et al.. (2015). Introducing improved structural properties and salt dependence into a coarse-grained model of DNA. The Journal of Chemical Physics. 142(23). 265 indexed citations
17.
Schreck, John S. & Jian‐Min Yuan. (2013). A Kinetic Study of Amyloid Formation: Fibril Growth and Length Distributions. The Journal of Physical Chemistry B. 117(21). 6574–6583. 55 indexed citations
18.
Doye, Jonathan P. K., Thomas E. Ouldridge, Ard A. Louis, et al.. (2013). Coarse-graining DNA for simulations of DNA nanotechnology. Physical Chemistry Chemical Physics. 15(47). 20395–20395. 148 indexed citations
19.
Schreck, John S. & Jian‐Min Yuan. (2012). A Statistical Mechanical Approach to Protein Aggregation. Biophysical Journal. 102(3). 254a–254a. 1 indexed citations
20.
Schreck, John S. & Jian‐Min Yuan. (2010). Exactly solvable model for helix-coil-sheet transitions in protein systems. Physical Review E. 81(6). 61919–61919. 14 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

Breakdown of academic impact, for papers by Hyo‐Joong Kim Breakdown of academic impact, for papers by Satoshi Yasuda Breakdown of academic impact, for papers by Jeremy D. Schmit Breakdown of academic impact, for papers by Jackson K. B. Cahn Breakdown of academic impact, for papers by Pengfei Tian Breakdown of academic impact, for papers by Valeria Cassina Breakdown of academic impact, for papers by Yi‐Hsuan Lin Breakdown of academic impact, for papers by Mimi Gao Breakdown of academic impact, for papers by Sayan Gupta Breakdown of academic impact, for papers by Adiran Garaizar
Rankless by CCL
2026