Christoffer Nellåker

5.3k total citations · 1 hit paper
29 papers, 1.7k citations indexed

About

Christoffer Nellåker is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Christoffer Nellåker has authored 29 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Christoffer Nellåker's work include Chromosomal and Genetic Variations (7 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (6 papers). Christoffer Nellåker is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), RNA and protein synthesis mechanisms (7 papers) and Genomics and Phylogenetic Studies (6 papers). Christoffer Nellåker collaborates with scholars based in United Kingdom, Sweden and United States. Christoffer Nellåker's co-authors include Håkan Karlsson, Chris P. Ponting, Yuanrong Yao, Robert H. Yolken, Thomas Keane, David J. Adams, Jonathan Flint, Marie Öhman, Ian R. Adams and Niamh Mannion and has published in prestigious journals such as Nature, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Christoffer Nellåker

28 papers receiving 1.7k 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.

The RNA-Editing Enzyme ADAR1 Controls Innate Immune Responses to RNA

2014 490 citations Christoffer Nellåker, Chris P. Ponting et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christoffer Nellåker United Kingdom	16	1.1k	351	340	263	144	29	1.7k
Elizabeth A. Worthey United States	24	1.1k 0.9×	395 1.1×	66 0.2×	266 1.0×	57 0.4×	58	2.0k
Cameron Ross MacPherson Denmark	18	834 0.7×	86 0.2×	302 0.9×	218 0.8×	14 0.1×	39	1.8k
Chris C. A. Spencer United Kingdom	20	989 0.9×	1.3k 3.8×	174 0.5×	129 0.5×	96 0.7×	26	2.3k
Zhiyu Peng China	23	1.4k 1.2×	753 2.1×	980 2.9×	92 0.3×	42 0.3×	87	2.6k
Daniel Nilsson Sweden	28	1.2k 1.1×	368 1.0×	182 0.5×	183 0.7×	151 1.0×	87	2.2k
Gareth Howell United Kingdom	26	845 0.7×	159 0.5×	160 0.5×	445 1.7×	208 1.4×	45	1.8k
Vincent Navratil France	21	931 0.8×	291 0.8×	243 0.7×	140 0.5×	37 0.3×	39	1.7k
Shawn P. Iadonato United States	17	710 0.6×	331 0.9×	97 0.3×	289 1.1×	64 0.4×	39	1.4k
Martyn K. White United States	32	1.1k 0.9×	265 0.8×	522 1.5×	196 0.7×	76 0.5×	99	3.1k
Ayal B. Gussow United States	14	678 0.6×	257 0.7×	131 0.4×	44 0.2×	33 0.2×	15	1.2k

Countries citing papers authored by Christoffer Nellåker

Since Specialization

Citations

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

Fields of papers citing papers by Christoffer Nellåker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoffer Nellåker

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Turner, Piers, Conor Feehily, Stelios Chatzimichail, et al.. (2025). Ribosome phenotypes for rapid classification of antibiotic-susceptible and resistant strains of Escherichia coli. Communications Biology. 8(1). 319–319. 3 indexed citations

Chatzimichail, Stelios, Piers Turner, Conor Feehily, et al.. (2024). Rapid identification of bacterial isolates using microfluidic adaptive channels and multiplexed fluorescence microscopy. Lab on a Chip. 24(20). 4843–4858. 7 indexed citations

Feehily, Conor, Piers Turner, Stelios Chatzimichail, et al.. (2024). Infection Inspection: using the power of citizen science for image-based prediction of antibiotic resistance in Escherichia coli treated with ciprofloxacin. Scientific Reports. 14(1). 19543–19543. 1 indexed citations

Meir, Karen, W. Tony Parks, Drorith Hochner‐Celnikier, et al.. (2024). Mapping cell-to-tissue graphs across human placenta histology whole slide images using deep learning with HAPPY. Nature Communications. 15(1). 2710–2710. 11 indexed citations

Turner, Piers, Conor Feehily, Monique Andersson, et al.. (2023). Deep learning and single-cell phenotyping for rapid antimicrobial susceptibility detection in Escherichia coli. Communications Biology. 6(1). 1164–1164. 25 indexed citations

Hallowell, Nina, et al.. (2023). Democratising or disrupting diagnosis? Ethical issues raised by the use of AI tools for rare disease diagnosis. SHILAP Revista de lepidopterología. 3. 100240–100240. 12 indexed citations

Hallowell, Nina, et al.. (2022). “I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease. BMC Medical Ethics. 23(1). 112–112. 28 indexed citations

Ruschke, Stefan, Claudine Seeliger, Samantha Laber, et al.. (2022). Transcriptome and fatty-acid signatures of adipocyte hypertrophy and its non-invasive MR-based characterization in human adipose tissue. EBioMedicine. 79. 104020–104020. 28 indexed citations

Glastonbury, Craig A., Sara L. Pulit, Jenny C. Censin, et al.. (2020). Machine Learning based histology phenotyping to investigate the epidemiologic and genetic basis of adipocyte morphology and cardiometabolic traits. PLoS Computational Biology. 16(8). e1008044–e1008044. 11 indexed citations

10.

Jansen, Sandra, Janneke Schuurs-Hoeijmakers, David A. Koolen, et al.. (2018). Next-generation phenotyping using computer vision algorithms in rare genomic neurodevelopmental disorders. Genetics in Medicine. 21(8). 1719–1725. 13 indexed citations

11.

Nellåker, Christoffer, Thomas Keane, Binnaz Yalcin, et al.. (2012). The genomic landscape shaped by selection on transposable elements across 18 mouse strains. Genome biology. 13(6). R45–R45. 137 indexed citations

12.

Danecek, Petr, Christoffer Nellåker, Rebecca E. McIntyre, et al.. (2012). High levels of RNA-editing site conservation amongst 15 laboratory mouse strains. Genome biology. 13(4). 26–26. 131 indexed citations

13.

Li, Fang, Christoffer Nellåker, Robert H. Yolken, & Håkan Karlsson. (2011). A systematic evaluation of expression of HERV-W elements; influence of genomic context, viral structure and orientation. BMC Genomics. 12(1). 22–22. 22 indexed citations

14.

Nellåker, Christoffer, et al.. (2008). Mixture models for analysis of melting temperature data. BMC Bioinformatics. 9(1). 370–370. 5 indexed citations

15.

Karlsson, Håkan, Yanli Yao, Jeremy W. Schroeder, et al.. (2007). Characterization of transcribed herv-W elements in vitroand in vivo. Schizophrenia Bulletin. 33. 299–300. 1 indexed citations

16.

Asp, Linnéa, Christoffer Nellåker, & Håkan Karlsson. (2007). Influenza A virus transactivates the mouse envelope gene encoding syncytin B and its regulator, glial cells missing 1. Journal of NeuroVirology. 13(1). 29–37. 11 indexed citations

17.

Schröder, J., Christoffer Nellåker, C. Bottmer, et al.. (2007). Elevated levels of human endogenous retrovirus‐W transcripts in blood cells from patients with first episode schizophrenia. Genes Brain & Behavior. 7(1). 103–112. 68 indexed citations

18.

Schröder, J, et al.. (2006). Gene expression of metabolic enzymes in the mononuclear cells of individuals with recent onset schizophrenia or schizoaffective disorder. Schizophrenia Research. 81. 72–73. 3 indexed citations

19.

Yao, Yuanrong, Christoffer Nellåker, & Håkan Karlsson. (2006). Evaluation of minor groove binding probe and Taqman probe PCR assays: Influence of mismatches and template complexity on quantification. Molecular and Cellular Probes. 20(5). 311–316. 98 indexed citations

20.

Nellåker, Christoffer, Yuanrong Yao, Lorraine Jones‐Brando, et al.. (2006). Transactivation of elements in the human endogenous retrovirus W family by viral infection. Retrovirology. 3(1). 44–44. 130 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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