Tamika Malone

565 total citations
3 papers, 334 citations indexed

About

Tamika Malone is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Tamika Malone has authored 3 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cognitive Neuroscience. Recurrent topics in Tamika Malone's work include Genetics and Neurodevelopmental Disorders (3 papers), Autism Spectrum Disorder Research (2 papers) and Congenital heart defects research (2 papers). Tamika Malone is often cited by papers focused on Genetics and Neurodevelopmental Disorders (3 papers), Autism Spectrum Disorder Research (2 papers) and Congenital heart defects research (2 papers). Tamika Malone collaborates with scholars based in United States. Tamika Malone's co-authors include Stephen T. Warren, Bradford Coffee, Igor Albizua, Stephanie L. Sherman, Jason P. Schroeder, Gary J. Bassell, Tamara Caspary, Jennifer G. Mullé, Ryan H. Purcell and Michael P. Epstein and has published in prestigious journals such as The American Journal of Human Genetics, Molecular Psychiatry and Translational Psychiatry.

In The Last Decade

Tamika Malone

3 papers receiving 327 citations

Peers

Tamika Malone
Joana Almeida Portugal
Weiya He United States
Bert Ba de Vries Netherlands
Stela Filipovic-Sadic United States
Sharon Bade Shrestha United States
Latha Soorya United States
Tamika Malone
Citations per year, relative to Tamika Malone Tamika Malone (= 1×) peers Isabel Fernández-Carvajal

Countries citing papers authored by Tamika Malone

Since Specialization
Citations

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

Fields of papers citing papers by Tamika Malone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamika Malone

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

All Works

3 of 3 papers shown
1.
Purcell, Ryan H., Tamika Malone, Kimberly Pachura, et al.. (2022). Metabolic effects of the schizophrenia-associated 3q29 deletion. Translational Psychiatry. 12(1). 66–66. 5 indexed citations
2.
Purcell, Ryan H., Georgette M. Gafford, Tamika Malone, et al.. (2019). Behavioral changes and growth deficits in a CRISPR engineered mouse model of the schizophrenia-associated 3q29 deletion. Molecular Psychiatry. 26(3). 772–783. 25 indexed citations
3.
Coffee, Bradford, et al.. (2009). Incidence of Fragile X Syndrome by Newborn Screening for Methylated FMR1 DNA. The American Journal of Human Genetics. 85(4). 503–514. 304 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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