Gavin Craig

598 total citations
8 papers, 449 citations indexed

About

Gavin Craig is a scholar working on Molecular Biology, Cognitive Neuroscience and Genetics. According to data from OpenAlex, Gavin Craig has authored 8 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cognitive Neuroscience and 2 papers in Genetics. Recurrent topics in Gavin Craig's work include Autism Spectrum Disorder Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). Gavin Craig is often cited by papers focused on Autism Spectrum Disorder Research (2 papers), Genomics and Chromatin Dynamics (2 papers) and Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper). Gavin Craig collaborates with scholars based in United Kingdom, Denmark and Canada. Gavin Craig's co-authors include Buzz Baum, Verónica Domínguez, Patricia Kunda, Helen McNeill, J.E. Bateman, Caroline S. Hill, Ian Craig, Jonathan Mill, Leonard C. Schalkwyk and Cathryn M. Lewis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Oncogene.

In The Last Decade

Gavin Craig

8 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gavin Craig United Kingdom	7	249	221	72	70	53	8	449
Gregory E. Osborn United States	7	347 1.4×	281 1.3×	49 0.7×	131 1.9×	70 1.3×	8	591
Batiste Boëda France	10	471 1.9×	355 1.6×	60 0.8×	47 0.7×	34 0.6×	17	889
Holly A. Holman United States	10	216 0.9×	272 1.2×	83 1.2×	35 0.5×	98 1.8×	18	595
Yutaka Matsubayashi United Kingdom	12	375 1.5×	298 1.3×	72 1.0×	31 0.4×	143 2.7×	18	754
Chuntao Dan United States	6	291 1.2×	161 0.7×	39 0.5×	116 1.7×	243 4.6×	6	604
Phillip Vanlandingham United States	7	290 1.2×	182 0.8×	15 0.2×	48 0.7×	51 1.0×	10	485
Seham Ebrahim United States	12	350 1.4×	170 0.8×	22 0.3×	23 0.3×	32 0.6×	18	627
May Chan United States	9	226 0.9×	243 1.1×	154 2.1×	35 0.5×	95 1.8×	9	573
Daniel L. Rocca United Kingdom	9	274 1.1×	159 0.7×	15 0.2×	52 0.7×	169 3.2×	9	421
Kenneth R. Myers United States	11	353 1.4×	244 1.1×	22 0.3×	93 1.3×	164 3.1×	14	581

Countries citing papers authored by Gavin Craig

Since Specialization

Citations

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

Fields of papers citing papers by Gavin Craig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gavin Craig

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

All Works

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8 of 8 papers shown

1.

Craig, Gavin, et al.. (2019). Brain-Derived Neurotrophic Factor Val66Met Polymorphism Is Associated With a Reduced ERP Component Indexing Emotional Recollection. Frontiers in Psychology. 10. 1922–1922. 3 indexed citations

2.

Craig, Gavin, et al.. (2012). AVPR1A and SLC6A4 Polymorphisms in Choral Singers and Non-Musicians: A Gene Association Study. PLoS ONE. 7(2). e31763–e31763. 22 indexed citations

3.

McNeill, Helen, Gavin Craig, & J.E. Bateman. (2008). Regulation of Neurogenesis and Epidermal Growth Factor Receptor Signaling by the Insulin Receptor/Target of Rapamycin Pathway in Drosophila. Genetics. 179(2). 843–853. 38 indexed citations

4.

Craig, Gavin, et al.. (2006). Investigating the Relationship Between FMR1 Allele Length and Cognitive Ability in Children: A Subtle Effect of the Normal Allele Range on the Normal Ability Range?. Annals of Human Genetics. 70(5). 555–565. 7 indexed citations

5.

Craig, Gavin, et al.. (2005). Iroquois transcription factors recognize a unique motif to mediate transcriptional repression in vivo. Proceedings of the National Academy of Sciences. 102(41). 14671–14676. 52 indexed citations

6.

Baum, Buzz & Gavin Craig. (2004). RNAi in a postmodern, postgenomic era. Oncogene. 23(51). 8336–8339. 8 indexed citations

7.

Craig, Ian, et al.. (2004). Application of microarrays to the analysis of the inactivation status of human X-linked genes expressed in lymphocytes. European Journal of Human Genetics. 12(8). 639–646. 27 indexed citations

8.

Kunda, Patricia, Gavin Craig, Verónica Domínguez, & Buzz Baum. (2003). Abi, Sra1, and Kette Control the Stability and Localization of SCAR/WAVE to Regulate the Formation of Actin-Based Protrusions. Current Biology. 13(21). 1867–1875. 292 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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