Christoffer Norn

3.1k total citations · 3 hit papers
18 papers, 1.1k citations indexed

About

Christoffer Norn is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience. According to data from OpenAlex, Christoffer Norn has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Christoffer Norn's work include RNA and protein synthesis mechanisms (8 papers), Protein Structure and Dynamics (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Christoffer Norn is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Protein Structure and Dynamics (6 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). Christoffer Norn collaborates with scholars based in United States, Denmark and Sweden. Christoffer Norn's co-authors include David Baker, Lauren Carter, Ivan Anishchenko, Samuel J. Pellock, Ingemar André, Frank DiMaio, Cameron M. Chow, Sarel J. Fleishman, Asim K. Bera and Gideon Lapidoth and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Christoffer Norn

17 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

De novo protein design by deep network hallucination

2021 334 citations Ivan Anishchenko, Samuel J. Pellock et al. Nature profile →
De novo design of luciferases using deep learning

2023 241 citations Hsien‐Wei Yeh, Christoffer Norn et al. Nature profile →
Top-down design of protein architectures with reinforcement learning

2023 76 citations Shunzhi Wang, Christoffer Norn et al. Science profile →

Peers

Countries citing papers authored by Christoffer Norn

Since Specialization

Citations

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

Fields of papers citing papers by Christoffer Norn

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoffer Norn

This figure shows the co-authorship network connecting the top 25 collaborators of Christoffer Norn. A scholar is included among the top collaborators of Christoffer Norn 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 Christoffer Norn. Christoffer Norn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

#	Work	Indexed citations
1	Computational design of sequence-specific DNA-binding proteins 2025 ·Nature Structural & Molecular Biology ·Cameron J. Glasscock, (unknown), Ryan McHugh, Lindsey Doyle, Wei Chen, (unknown), (unknown), (unknown), Yuliya Politanska, Hugh K. Haddox, David Cox, Christoffer Norn, Brian Coventry, Inna Goreshnik, Dionne Vafeados, Gyu Rie Lee, Raluca Gordân, Barry Stoddard, Frank DiMaio, David Baker	1
2	Improved prediction of site‐rates from structure with averaging across homologs 2024 ·Protein Science ·Christoffer Norn, Fábio Soares de Oliveira, Ingemar André	0
3	Top-down design of protein architectures with reinforcement learning breakdown → 2023 ·Science ·(unknown), Shunzhi Wang, Christoffer Norn, Alexis Courbet, Andrew J. Borst, Yan Ting Zhao, Annie Dosey, Longxing Cao, Jinwei Xu, Elizabeth M. Leaf, (unknown), (unknown), Zhe Li, (unknown), (unknown), (unknown), Minkyung Baek, Neil P. King, Hannele Ruohola‐Baker, David Baker	76
4	Atomistic simulation of protein evolution reveals sequence covariation and time-dependent fluctuations of site-specific substitution rates 2023 ·PLoS Computational Biology ·Christoffer Norn, Ingemar André	2
5	De novo design of luciferases using deep learning breakdown → 2023 ·Nature ·Hsien‐Wei Yeh, Christoffer Norn, Yakov Kipnis, Doug Tischer, Samuel J. Pellock, Declan Evans, Pengchen Ma, Gyu Rie Lee, Jason Z. Zhang, Ivan Anishchenko, Brian Coventry, Longxing Cao, Justas Dauparas, Samer Halabiya, Michelle DeWitt, Lauren Carter, K. N. Houk, David Baker	241
6	De novo protein design by deep network hallucination breakdown → 2021 ·Nature ·Ivan Anishchenko, Samuel J. Pellock, Tamuka M. Chidyausiku, Theresa A. Ramelot, Sergey Ovchinnikov, Jingzhou Hao, Khushboo Bafna, Christoffer Norn, Alex Kang, Asim K. Bera, Frank DiMaio, Lauren Carter, Cameron M. Chow, G.T. Montelione, David Baker	334
7	A thermodynamic model of protein structure evolution explains empirical amino acid substitution matrices 2021 ·Protein Science ·Christoffer Norn, Ingemar André, Douglas L. Theobald	11
8	An enumerative algorithm for de novo design of proteins with diverse pocket structures 2020 ·Proceedings of the National Academy of Sciences ·Benjamin Basanta, Matthew J. Bick, Asim K. Bera, Christoffer Norn, Cameron M. Chow, Lauren Carter, Inna Goreshnik, Frank DiMaio, David Baker	53
9	A combined computational-experimental approach to define the structural origin of antibody recognition of sialyl-Tn, a tumor-associated carbohydrate antigen 2018 ·Scientific Reports ·(unknown), Oliver C. Grant, Shani Leviatan Ben‐Arye, (unknown), Anita K. Nivedha, (unknown), Christoffer Norn, Hai Yu, John Glushka, Sarel J. Fleishman, Xi Chen, Robert J. Woods, Vered Padler‐Karavani	19
10	Principles for computational design of binding antibodies 2017 ·Proceedings of the National Academy of Sciences ·Dror Baran, (unknown), Gideon Lapidoth, Christoffer Norn, Orly Dym, Tamar Unger, Shira Albeck, Michael D. Tyka, Sarel J. Fleishman	97
11	Computational design of protein self-assembly 2016 ·Current Opinion in Structural Biology ·Christoffer Norn, Ingemar André	42
12	Mapping the Ca2+ induced structural change in calreticulin 2016 ·Journal of Proteomics ·(unknown), Christoffer Norn, Morten Rasmussen, Ingemar André, Evaldas Čiplys, Rimantas Slibinskas, Gunnar Houen, Peter Højrup	31
13	High‐accuracy modeling of antibody structures by a search for minimum‐energy recombination of backbone fragments 2016 ·Proteins Structure Function and Bioinformatics ·Christoffer Norn, Gideon Lapidoth, Sarel J. Fleishman	16
14	Mutation-Guided Unbiased Modeling of the Fat Sensor GPR119 for High-Yield Agonist Screening 2015 ·Structure ·Christoffer Norn, M. Hauge, Maja S. Engelstoft, Sun Hee Kim, Juerg Lehmann, Robert M. Jones, Thue W. Schwartz, Thomas M. Frimurer	7
15	AbDesign: An algorithm for combinatorial backbone design guided by natural conformations and sequences 2015 ·Proteins Structure Function and Bioinformatics ·Gideon Lapidoth, Dror Baran, (unknown), Christoffer Norn, Assaf Alon, Michael D. Tyka, Sarel J. Fleishman	75
16	Structural basis for constitutive activity and agonist‐induced activation of the enteroendocrine fat sensor GPR119 2014 ·British Journal of Pharmacology ·Maja S. Engelstoft, Christoffer Norn, M. Hauge, Nicholas D. Holliday, Lisbeth Elster, Juerg Lehmann, Robert M. Jones, Thomas M. Frimurer, Thue W. Schwartz	25
17	Assessment and Challenges of Ligand Docking into Comparative Models of G-Protein Coupled Receptors 2013 ·PLoS ONE ·Elizabeth D. Nguyen, Christoffer Norn, Thomas M. Frimurer, Jens Meiler	30
18	Molecular Characterization of Oxysterol Binding to the Epstein-Barr Virus-induced Gene 2 (GPR183) 2012 ·Journal of Biological Chemistry ·Tau Benned‐Jensen, Christoffer Norn, Stéphane Laurent, Christian M. Madsen, (unknown), (unknown), Romain M. Wolf, Thomas M. Frimurer, Andreas W. Sailer, Mette M. Rosenkilde	41

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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