Christopher J. Forman

771 total citations
21 papers, 595 citations indexed

About

Christopher J. Forman is a scholar working on Biomaterials, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Christopher J. Forman has authored 21 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomaterials, 5 papers in Organic Chemistry and 4 papers in Molecular Biology. Recurrent topics in Christopher J. Forman's work include Molecular Junctions and Nanostructures (3 papers), melanin and skin pigmentation (3 papers) and Polydiacetylene-based materials and applications (3 papers). Christopher J. Forman is often cited by papers focused on Molecular Junctions and Nanostructures (3 papers), melanin and skin pigmentation (3 papers) and Polydiacetylene-based materials and applications (3 papers). Christopher J. Forman collaborates with scholars based in United States, United Kingdom and Germany. Christopher J. Forman's co-authors include Nathan C. Gianneschi, Ventsislav K. Valev, Jeremy J. Baumberg, Oren A. Scherman, Andrew R. Salmon, Stoyan K. Smoukov, Tao Ding, Daan Frenkel, Claudia Battistella and David J. Wales and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Christopher J. Forman

21 papers receiving 584 citations

Peers

Christopher J. Forman
Christopher J. Forman
Citations per year, relative to Christopher J. Forman Christopher J. Forman (= 1×) peers Halil Bayraktar

Countries citing papers authored by Christopher J. Forman

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Forman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher J. Forman. 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 Christopher J. Forman. The network helps show where Christopher J. Forman may publish in the future.

Co-authorship network of co-authors of Christopher J. Forman

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher J. Forman. A scholar is included among the top collaborators of Christopher J. Forman 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 Christopher J. Forman. Christopher J. Forman 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.
Cavell, Andrew C., Christopher J. Forman, Si Yue Guo, et al.. (2023). The Role of Experimental Noise in a Hybrid Classical-Molecular Computer to Solve Combinatorial Optimization Problems. ACS Central Science. 9(7). 1453–1465. 2 indexed citations
2.
Zhou, Xuhao, Bram Vanthournout, Ziying Hu, et al.. (2022). Hydrophobic Melanin via Post-Synthetic Modification for Controlled Self-Assembly. ACS Nano. 16(11). 19087–19095. 12 indexed citations
3.
Gong, Xinyi, Karthikeyan Gnanasekaran, Kaikai Ma, et al.. (2022). Rapid Generation of Metal–Organic Framework Phase Diagrams by High-Throughput Transmission Electron Microscopy. Journal of the American Chemical Society. 144(15). 6674–6680. 20 indexed citations
4.
McCallum, Naneki C., Florencia A. Son, Tristan D. Clemons, et al.. (2021). Allomelanin: A Biopolymer of Intrinsic Microporosity. Journal of the American Chemical Society. 143(10). 4005–4016. 58 indexed citations
5.
Zhou, Xuhao, Xinyi Gong, Wei Cao, et al.. (2021). Anisotropic Synthetic Allomelanin Materials via Solid‐State Polymerization of Self‐Assembled 1,8‐Dihydroxynaphthalene Dimers. Angewandte Chemie International Edition. 60(32). 17464–17471. 25 indexed citations
6.
Hu, Ziying, Nathan P. Bradshaw, Bram Vanthournout, et al.. (2021). Non-Iridescent Structural Color Control via Inkjet Printing of Self-Assembled Synthetic Melanin Nanoparticles. Chemistry of Materials. 33(16). 6433–6442. 28 indexed citations
7.
Guo, Si Yue, Pascal Friederich, Yudong Cao, et al.. (2021). A molecular computing approach to solving optimization problems via programmable microdroplet arrays. Matter. 4(4). 1107–1124. 9 indexed citations
8.
Cavell, Andrew C., Guoping Li, Abhishek Sharma, et al.. (2020). Optical monitoring of polymerizations in droplets with high temporal dynamic range. Chemical Science. 11(10). 2647–2656. 19 indexed citations
9.
Battistella, Claudia, Naneki C. McCallum, Bram Vanthournout, et al.. (2020). Bioinspired Chemoenzymatic Route to Artificial Melanin for Hair Pigmentation. Chemistry of Materials. 32(21). 9201–9210. 30 indexed citations
10.
Sun, Hao, Wonmin Choi, Nanzhi Zang, et al.. (2019). Bioactive Peptide Brush Polymers via Photoinduced Reversible‐Deactivation Radical Polymerization. Angewandte Chemie. 131(48). 17520–17525. 7 indexed citations
11.
Sun, Hao, Wonmin Choi, Nanzhi Zang, et al.. (2019). Bioactive Peptide Brush Polymers via Photoinduced Reversible‐Deactivation Radical Polymerization. Angewandte Chemie International Edition. 58(48). 17359–17364. 42 indexed citations
12.
Forman, Christopher J., et al.. (2019). The Trust Machine? The Promise of Blockchain-Based Algorithmic Governance of Exchange. Academy of Management Proceedings. 2019(1). 13603–13603. 3 indexed citations
13.
Chow, Wing Ying, Christopher J. Forman, Dominique Bihan, et al.. (2018). Proline provides site-specific flexibility for in vivo collagen. Scientific Reports. 8(1). 13809–13809. 47 indexed citations
14.
Parent, Lucas R., David Onofrei, Dian Xu, et al.. (2018). Hierarchical spidroin micellar nanoparticles as the fundamental precursors of spider silks. Proceedings of the National Academy of Sciences. 115(45). 11507–11512. 59 indexed citations
15.
Forman, Christopher J., et al.. (2017). Openspritzer: an open hardware pressure ejection system for reliably delivering picolitre volumes. Scientific Reports. 7(1). 2188–2188. 23 indexed citations
16.
Ding, Tao, Ventsislav K. Valev, Andrew R. Salmon, et al.. (2016). Light-induced actuating nanotransducers. Proceedings of the National Academy of Sciences. 113(20). 5503–5507. 140 indexed citations
17.
Chow, Wing Ying, Dominique Bihan, Christopher J. Forman, et al.. (2015). Hydroxyproline Ring Pucker Causes Frustration of Helix Parameters in the Collagen Triple Helix. Scientific Reports. 5(1). 12556–12556. 33 indexed citations
18.
Forman, Christopher J., et al.. (2013). Probing the location of displayed cytochrome b562on amyloid by scanning tunnelling microscopy. Nanotechnology. 24(17). 175102–175102. 6 indexed citations
19.
Forman, Christopher J., Szilárd N. Fejer, Dwaipayan Chakrabarti, Paul D. Barker, & David J. Wales. (2013). Local Frustration Determines Molecular and Macroscopic Helix Structures. The Journal of Physical Chemistry B. 117(26). 7918–7928. 12 indexed citations
20.
Corrigan, Nathaniel, et al.. (2012). Restoration of high-resolution AFM images captured with broken probes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8227. 82271A–82271A. 1 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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