Charles Christoffer

1.3k total citations
25 papers, 543 citations indexed

About

Charles Christoffer is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Charles Christoffer has authored 25 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Materials Chemistry and 7 papers in Computational Theory and Mathematics. Recurrent topics in Charles Christoffer's work include Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (7 papers). Charles Christoffer is often cited by papers focused on Protein Structure and Dynamics (20 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (7 papers). Charles Christoffer collaborates with scholars based in United States, South Korea and India. Charles Christoffer's co-authors include Daisuke Kihara, Genki Terashi, Woong‐Hee Shin, Tunde Aderinwale, Siyang Chen, Xiao Wang, Amitava Roy, Yuki Kagaya, Juan Esquivel‐Rodríguez and Zicong Zhang and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

In The Last Decade

Charles Christoffer

25 papers receiving 536 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Christoffer United States 14 469 182 147 41 29 25 543
David La United States 14 571 1.2× 169 0.9× 131 0.9× 67 1.6× 25 0.9× 19 720
Gabriele Pozzati Sweden 5 722 1.5× 168 0.9× 115 0.8× 51 1.2× 25 0.9× 5 842
Naomi K. Fox United States 7 766 1.6× 226 1.2× 98 0.7× 16 0.4× 35 1.2× 9 855
Zeynep Kurkcuoglu Türkiye 11 337 0.7× 111 0.6× 72 0.5× 21 0.5× 18 0.6× 15 414
Kliment Olechnovič Lithuania 15 596 1.3× 298 1.6× 153 1.0× 16 0.4× 16 0.6× 24 665
Jorge Roel‐Touris Netherlands 14 528 1.1× 86 0.5× 123 0.8× 113 2.8× 31 1.1× 19 697
Adam J. Simpkin United Kingdom 11 454 1.0× 233 1.3× 42 0.3× 16 0.4× 24 0.8× 25 561
Mattia Miotto Italy 13 353 0.8× 81 0.4× 71 0.5× 41 1.0× 19 0.7× 38 524
Stéphanie Monaco France 7 325 0.7× 226 1.2× 24 0.2× 33 0.8× 21 0.7× 13 454
M. Grabowski United States 12 315 0.7× 217 1.2× 38 0.3× 17 0.4× 13 0.4× 25 449

Countries citing papers authored by Charles Christoffer

Since Specialization
Citations

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

Fields of papers citing papers by Charles Christoffer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Christoffer

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Christoffer. A scholar is included among the top collaborators of Charles Christoffer 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 Charles Christoffer. Charles Christoffer 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.
Christoffer, Charles, Yuki Kagaya, Jacob Verburgt, et al.. (2025). Integrative Protein Assembly With LZerD and Deep Learning in CAPRI 47–55. Proteins Structure Function and Bioinformatics. 2 indexed citations
2.
Verburgt, Jacob, et al.. (2025). Learning with Privileged Knowledge Distillation for Improved Peptide–Protein Docking. ACS Omega. 10(25). 26684–26693. 2 indexed citations
3.
Christoffer, Charles, et al.. (2024). Assembly of Protein Complexes in and on the Membrane with Predicted Spatial Arrangement Constraints. Journal of Molecular Biology. 436(6). 168486–168486. 3 indexed citations
4.
5.
Harini, K., Charles Christoffer, M. Michael Gromiha, & Daisuke Kihara. (2023). Pairwise and Multi-chain Protein Docking Enhanced Using LZerD Web Server. Methods in molecular biology. 2690. 355–373. 2 indexed citations
6.
Biasotti, Silvia, Walter Rocchia, Hao Huang, et al.. (2022). SHREC 2022: Protein–ligand binding site recognition. Computers & Graphics. 107. 20–31. 12 indexed citations
7.
Aderinwale, Tunde, Charles Christoffer, Genki Terashi, et al.. (2022). Real-time structure search and structure classification for AlphaFold protein models. Communications Biology. 5(1). 316–316. 41 indexed citations
8.
Christoffer, Charles & Daisuke Kihara. (2022). Domain-Based Protein Docking with Extremely Large Conformational Changes. Journal of Molecular Biology. 434(21). 167820–167820. 8 indexed citations
9.
Aderinwale, Tunde, Charles Christoffer, & Daisuke Kihara. (2022). RL-MLZerD: Multimeric protein docking using reinforcement learning. Frontiers in Molecular Biosciences. 9. 969394–969394. 8 indexed citations
10.
Terashi, Genki, et al.. (2021). VESPER: global and local cryo-EM map alignment using local density vectors. Nature Communications. 12(1). 2090–2090. 17 indexed citations
11.
Jain, Aashish, et al.. (2021). Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction. Scientific Reports. 11(1). 7574–7574. 21 indexed citations
12.
Christoffer, Charles, et al.. (2021). Kinetic and structural parameters governing Fic-mediated adenylylation/AMPylation of the Hsp70 chaperone, BiP/GRP78. Cell Stress and Chaperones. 26(4). 639–656. 12 indexed citations
13.
Christoffer, Charles, et al.. (2021). LZerD Protein-Protein Docking Webserver Enhanced With de novo Structure Prediction. Frontiers in Molecular Biosciences. 8. 724947–724947. 37 indexed citations
14.
Aderinwale, Tunde, et al.. (2020). Computational structure modeling for diverse categories of macromolecular interactions. Current Opinion in Structural Biology. 64. 1–8. 24 indexed citations
15.
Christoffer, Charles & Daisuke Kihara. (2020). IDP-LZerD: Software for Modeling Disordered Protein Interactions. Methods in molecular biology. 2165. 231–244. 11 indexed citations
16.
Christoffer, Charles, et al.. (2019). A global map of the protein shape universe. PLoS Computational Biology. 15(4). e1006969–e1006969. 22 indexed citations
17.
Esquivel‐Rodríguez, Juan, Genki Terashi, Charles Christoffer, et al.. (2018). Modeling the assembly order of multimeric heteroprotein complexes. PLoS Computational Biology. 14(1). e1005937–e1005937. 24 indexed citations
18.
Shin, Woong‐Hee, Charles Christoffer, & Daisuke Kihara. (2017). In silico structure-based approaches to discover protein-protein interaction-targeting drugs. Methods. 131. 22–32. 55 indexed citations
19.
Roy, Amitava, et al.. (2017). Modeling disordered protein interactions from biophysical principles. PLoS Computational Biology. 13(4). e1005485–e1005485. 43 indexed citations
20.
Esquivel‐Rodríguez, Juan, et al.. (2015). Navigating 3D electron microscopy maps with EM-SURFER. BMC Bioinformatics. 16(1). 181–181. 16 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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Rankless by CCL
2026