Alan Christoffels

12.1k total citations
98 papers, 2.6k citations indexed

About

Alan Christoffels is a scholar working on Molecular Biology, Genetics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Alan Christoffels has authored 98 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 20 papers in Genetics and 13 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Alan Christoffels's work include Bioinformatics and Genomic Networks (14 papers), Genomics and Phylogenetic Studies (13 papers) and Computational Drug Discovery Methods (11 papers). Alan Christoffels is often cited by papers focused on Bioinformatics and Genomic Networks (14 papers), Genomics and Phylogenetic Studies (13 papers) and Computational Drug Discovery Methods (11 papers). Alan Christoffels collaborates with scholars based in South Africa, Singapore and Kenya. Alan Christoffels's co-authors include Sydney Brenner, Byrappa Venkatesh, Esther G. L. Koh, Jer-Ming Chia, Samuel Aparício, Vladimir B. Bajić, László Orbán, Richárd Bártfai, Walter Hunziker and Soraya Bardien and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Alan Christoffels

93 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alan Christoffels 1.5k 564 362 228 188 98 2.6k
Nicolas Hulo 2.7k 1.8× 327 0.6× 567 1.6× 261 1.1× 120 0.6× 31 3.8k
Silvano Squizzato 2.2k 1.5× 472 0.8× 565 1.6× 284 1.2× 149 0.8× 8 3.6k
Noemí del‐Toro 2.5k 1.6× 309 0.5× 309 0.9× 333 1.5× 98 0.5× 17 3.7k
Caroline E. Shamu 2.8k 1.8× 792 1.4× 260 0.7× 436 1.9× 167 0.9× 22 4.4k
Arminja N. Kettenbach 2.9k 1.9× 276 0.5× 367 1.0× 231 1.0× 100 0.5× 100 4.2k
John A. Capra 3.8k 2.6× 918 1.6× 398 1.1× 115 0.5× 124 0.7× 111 4.9k
Russell L. Finley 2.5k 1.7× 315 0.6× 217 0.6× 419 1.8× 201 1.1× 67 3.3k
Christopher M. Sanderson 2.7k 1.8× 517 0.9× 261 0.7× 480 2.1× 290 1.5× 56 4.4k
Shmuel Pietrokovski 4.3k 2.8× 818 1.5× 743 2.1× 202 0.9× 157 0.8× 87 5.7k
Kenton H. Zavitz 2.2k 1.5× 709 1.3× 145 0.4× 361 1.6× 408 2.2× 38 4.1k

Countries citing papers authored by Alan Christoffels

Since Specialization
Citations

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

Fields of papers citing papers by Alan Christoffels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alan Christoffels

This figure shows the co-authorship network connecting the top 25 collaborators of Alan Christoffels. A scholar is included among the top collaborators of Alan Christoffels 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 Alan Christoffels. Alan Christoffels 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.
Chen, Christine Y., Alan Christoffels, Juan E. Gilbert, et al.. (2024). Increasing the presence of BIPOC researchers in computational science. Nature Computational Science. 4(9). 646–653.
2.
Mboowa, Gerald, et al.. (2024). Africa in the era of pathogen genomics: Unlocking data barriers. Cell. 187(19). 5146–5150. 4 indexed citations
3.
Nyirenda, Clement, et al.. (2024). Artificial intelligence in antidiabetic drug discovery: The advances in QSAR and the prediction of α-glucosidase inhibitors. Computational and Structural Biotechnology Journal. 23. 2964–2977. 16 indexed citations
4.
Konongoi, Samson, James Akoko, Rosemary Sang, et al.. (2023). Using Multiplex Amplicon PCR Technology to Efficiently and Timely Generate Rift Valley Fever Virus Sequence Data for Genomic Surveillance. Viruses. 15(2). 477–477. 3 indexed citations
5.
Christoffels, Alan, et al.. (2023). Investigation of distinct gene expression profile patterns that can improve the classification of intermediate-risk prognosis in AML patients. Frontiers in Genetics. 14. 1131159–1131159. 4 indexed citations
6.
Heusden, Peter Van, et al.. (2022). The COMBAT-TB Workbench: Making Powerful Mycobacterium tuberculosis Bioinformatics Accessible. mSphere. 7(1). e0099121–e0099121. 5 indexed citations
7.
Heusden, Peter Van, et al.. (2022). microRNA profile of Hermetia illucens (black soldier fly) and its implications on mass rearing. PLoS ONE. 17(3). e0265492–e0265492. 3 indexed citations
8.
Cloete, Ruben, et al.. (2021). Prioritization of candidate genes for a South African family with Parkinson’s disease using in-silico tools. PLoS ONE. 16(3). e0249324–e0249324. 12 indexed citations
9.
Cloete, Ruben, Mohd Shahbaaz, Melanie Grobbelaar, Samantha L. Sampson, & Alan Christoffels. (2021). In silico repurposing of a Novobiocin derivative for activity against latency associated Mycobacterium tuberculosis drug target nicotinate-nucleotide adenylyl transferase (Rv2421c). PLoS ONE. 16(11). e0259348–e0259348. 4 indexed citations
10.
Beiswanger, Christine M., Alash’le Abimiku, Alan Christoffels, et al.. (2017). Accessing Biospecimens from the H3Africa Consortium. Biopreservation and Biobanking. 15(2). 95–98. 8 indexed citations
11.
Merino-Martinez, Roxana, et al.. (2017). Baobab Laboratory Information Management System: Development of an Open-Source Laboratory Information Management System for Biobanking. Biopreservation and Biobanking. 15(2). 116–120. 10 indexed citations
12.
Kyobe, Samuel, Edgar Kigozi, Fred Ashaba Katabazi, et al.. (2017). Selecting a Laboratory Information Management System for Biorepositories in Low- and Middle-Income Countries: The H3Africa Experience and Lessons Learned. Biopreservation and Biobanking. 15(2). 111–115. 7 indexed citations
14.
Harkins, Gordon W., Darren P. Martin, Alan Christoffels, & Arvind Varsani. (2013). Towards inferring the global movement of beak and feather disease virus. Virology. 450-451. 24–33. 61 indexed citations
15.
Sreenivasan, Rajini, Junhui Jiang, Xingang Wang, et al.. (2013). Gonad Differentiation in Zebrafish Is Regulated by the Canonical Wnt Signaling Pathway1. Biology of Reproduction. 90(2). 45–45. 82 indexed citations
16.
Li, Yang, Richárd Bártfai, Alan Christoffels, et al.. (2004). Comparative analysis of the testis and ovary transcriptomes in zebrafish by combining experimental and computational tools: Research Articles. Comparative and Functional Genomics. 5(5). 403–418. 3 indexed citations
17.
Christoffels, Alan, et al.. (2004). Extensive Expansion of the Claudin Gene Family in the Teleost Fish, Fugu rubripes. Genome Research. 14(7). 1248–1257. 153 indexed citations
18.
Kelso, Janet, Grégory Theiler, Alan Christoffels, et al.. (2003). eVOC: A Controlled Vocabulary for Unifying Gene Expression Data. Genome Research. 13(6a). 1222–1230. 120 indexed citations
19.
Christoffels, Alan, et al.. (1999). A Comprehensive Approach to Clustering of Expressed Human Gene Sequence: The Sequence Tag Alignment and Consensus Knowledge Base. Genome Research. 9(11). 1143–1155. 154 indexed citations
20.
Hayashizaki, Yoshihide, John F. Burke, Alan Christoffels, & Robert D. Miller. (1997). A Novel Approach Towards a Comprehensive Consensus Representation of the Expressed Human Genome. Proceedings Genome Informatics Workshop/Genome informatics. 8(8). 187–196. 6 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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