Kay Grennan

7.9k total citations
11 papers, 695 citations indexed

About

Kay Grennan is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kay Grennan has authored 11 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Kay Grennan's work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Rare Diseases (2 papers). Kay Grennan is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and Genomics and Rare Diseases (2 papers). Kay Grennan collaborates with scholars based in United States, China and Singapore. Kay Grennan's co-authors include Chunyu Liu, Elliot S. Gershon, Chao Chen, Judith A. Badner, Dandan Zhang, Jin Li, Lijun Cheng, Fabio Pibiri, Ney Alliey‐Rodriguez and Fred Ovsiew and has published in prestigious journals such as PLoS ONE, Science Translational Medicine and Molecular Psychiatry.

In The Last Decade

Kay Grennan

11 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kay Grennan United States	8	449	135	91	55	48	11	695
Logan Dumitrescu United States	17	259 0.6×	147 1.1×	43 0.5×	91 1.7×	51 1.1×	61	846
Benjamin J. Ainscough United States	8	426 0.9×	116 0.9×	143 1.6×	39 0.7×	65 1.4×	9	721
Mark Han United States	7	329 0.7×	92 0.7×	97 1.1×	32 0.6×	44 0.9×	10	589
Jeroen van Rooij Netherlands	19	499 1.1×	192 1.4×	241 2.6×	55 1.0×	37 0.8×	63	1.2k
Huan Mo United States	10	614 1.4×	263 1.9×	37 0.4×	50 0.9×	40 0.8×	29	1.0k
Yinhua Zhang South Korea	17	389 0.9×	247 1.8×	71 0.8×	34 0.6×	22 0.5×	52	700
Benjamin Grenier‐Boley France	11	306 0.7×	189 1.4×	81 0.9×	44 0.8×	21 0.4×	21	699
Eva Freyhult Sweden	20	575 1.3×	61 0.5×	193 2.1×	47 0.9×	72 1.5×	53	1.1k
Yosuke Tanigawa United States	14	324 0.7×	329 2.4×	64 0.7×	29 0.5×	16 0.3×	29	836
Eric D. Hamlett United States	14	480 1.1×	45 0.3×	98 1.1×	44 0.8×	38 0.8×	32	835

Countries citing papers authored by Kay Grennan

Since Specialization

Citations

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

Fields of papers citing papers by Kay Grennan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kay Grennan

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

All Works

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11 of 11 papers shown

Luo, Jie, Ling Li, Dehui Kong, et al.. (2024). Genetic regulation of human brain proteome reveals proteins implicated in psychiatric disorders. Molecular Psychiatry. 29(11). 3330–3343. 7 indexed citations

Jiang, Yi, Gina Giase, Kay Grennan, et al.. (2020). DRAMS: A tool to detect and re-align mixed-up samples for integrative studies of multi-omics data. PLoS Computational Biology. 16(4). e1007522–e1007522. 3 indexed citations

Meng, Qingtuan, Kangli Wang, Tonya M. Brunetti, et al.. (2018). The DGCR5 long noncoding RNA may regulate expression of several schizophrenia-related genes. Science Translational Medicine. 10(472). 58 indexed citations

Liu, Chunyu, Kay Grennan, & Elliot S. Gershon. (2016). Current Practice of Genetics Research of Psychiatric Disorders. 1(1). 1 indexed citations

Gershon, Elliot S. & Kay Grennan. (2015). Genetic and genomic analyses as a basis for new diagnostic nosologies. Dialogues in Clinical Neuroscience. 17(1). 69–78. 4 indexed citations

Gershon, Elliot S., Ney Alliey‐Rodriguez, & Kay Grennan. (2014). Ethical and public policy challenges for pharmacogenomics. Dialogues in Clinical Neuroscience. 16(4). 567–574. 12 indexed citations

Grennan, Kay, Chao Chen, Elliot S. Gershon, & Chunyu Liu. (2014). Molecular network analysis enhances understanding of the biology of mental disorders. BioEssays. 36(6). 606–616. 17 indexed citations

Cheng, Lijun, Eiji Hattori, Akira Nakajima, et al.. (2013). Expression of the G72/G30 gene in transgenic mice induces behavioral changes. Molecular Psychiatry. 19(2). 175–183. 18 indexed citations

Gershon, Elliot S., Kay Grennan, João Vicente Busnello, et al.. (2013). A rare mutation of CACNA1C in a patient with bipolar disorder, and decreased gene expression associated with a bipolar-associated common SNP of CACNA1C in brain. Molecular Psychiatry. 19(8). 890–894. 89 indexed citations

10.

Chen, Chao, Lijun Cheng, Kay Grennan, et al.. (2012). Two gene co-expression modules differentiate psychotics and controls. Molecular Psychiatry. 18(12). 1308–1314. 113 indexed citations

11.

Chen, Chao, Kay Grennan, Judith A. Badner, et al.. (2011). Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods. PLoS ONE. 6(2). e17238–e17238. 373 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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