Kimberly G. Malphrus

2.3k total citations
8 papers, 207 citations indexed

About

Kimberly G. Malphrus is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Kimberly G. Malphrus has authored 8 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Physiology. Recurrent topics in Kimberly G. Malphrus's work include Genetic Associations and Epidemiology (4 papers), Alzheimer's disease research and treatments (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Kimberly G. Malphrus is often cited by papers focused on Genetic Associations and Epidemiology (4 papers), Alzheimer's disease research and treatments (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). Kimberly G. Malphrus collaborates with scholars based in United States and China. Kimberly G. Malphrus's co-authors include Thuy Nguyen, Nilüfer Ertekin‐Taner, Minerva M. Carrasquillo, Julia E. Crook, Mariet Allen, Neill R. Graff‐Radford, John A. Lucas, Ronald C. Petersen, Joseph S. Reddy and Rosebud O. Roberts and has published in prestigious journals such as Neurobiology of Aging, Journal of Alzheimer s Disease and Alzheimer s & Dementia.

In The Last Decade

Kimberly G. Malphrus

8 papers receiving 207 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kimberly G. Malphrus United States	6	122	78	50	43	43	8	207
Eddie Stage United States	7	111 0.9×	54 0.7×	58 1.2×	22 0.5×	21 0.5×	13	190
Nathalie Fiévet France	4	174 1.4×	79 1.0×	72 1.4×	63 1.5×	40 0.9×	6	273
Deya Corzo United States	6	223 1.8×	56 0.7×	68 1.4×	48 1.1×	25 0.6×	10	322
Martin Medrano United States	8	179 1.5×	164 2.1×	47 0.9×	19 0.4×	108 2.5×	13	324
Angel On-Kei Chan China	11	105 0.9×	115 1.5×	27 0.5×	18 0.4×	47 1.1×	24	318
Adeline Rollin‐Sillaire France	7	90 0.7×	66 0.8×	34 0.7×	103 2.4×	29 0.7×	9	236
Ahmed Abdelmoity United States	11	52 0.4×	55 0.7×	91 1.8×	42 1.0×	95 2.2×	25	264
Luke Jehu United Kingdom	7	104 0.9×	131 1.7×	18 0.4×	20 0.5×	53 1.2×	7	227
Charlotte Johansson Sweden	8	81 0.7×	66 0.8×	31 0.6×	29 0.7×	14 0.3×	12	178
Jonathan L. Haines United States	4	65 0.5×	68 0.9×	28 0.6×	13 0.3×	57 1.3×	5	180

Countries citing papers authored by Kimberly G. Malphrus

Since Specialization

Citations

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

Fields of papers citing papers by Kimberly G. Malphrus

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly G. Malphrus. 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 Kimberly G. Malphrus. The network helps show where Kimberly G. Malphrus may publish in the future.

Co-authorship network of co-authors of Kimberly G. Malphrus

This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly G. Malphrus. A scholar is included among the top collaborators of Kimberly G. Malphrus 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 Kimberly G. Malphrus. Kimberly G. Malphrus 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

Reddy, Joseph S., Sarah Lincoln, Charlotte C.G. Ho, et al.. (2023). Targeted plasma eQTL and pQTL to identify potential novel biomarkers for Alzheimer’s Disease in African Americans. Alzheimer s & Dementia. 19(S14). 1 indexed citations

Reddy, Joseph S., Sarah Lincoln, Charlotte C.G. Ho, et al.. (2022). Transcript levels in plasma contribute substantial predictive value as potential Alzheimer's disease biomarkers in African Americans. EBioMedicine. 78. 103929–103929. 2 indexed citations

Reddy, Joseph S., Mariet Allen, Charlotte C.G. Ho, et al.. (2021). Genome-wide analysis identifies a novel LINC-PINT splice variant associated with vascular amyloid pathology in Alzheimer’s disease. Acta Neuropathologica Communications. 9(1). 93–93. 14 indexed citations

Ho, Charlotte C.G., Kimberly G. Malphrus, Joseph S. Reddy, et al.. (2020). Plasma Biomarkers of Alzheimer’s Disease in African Americans. Journal of Alzheimer s Disease. 79(1). 323–334. 18 indexed citations

Wang, Xue, Mariet Allen, Shaoyu Li, et al.. (2020). Deciphering cellular transcriptional alterations in Alzheimer’s disease brains. Molecular Neurodegeneration. 15(1). 38–38. 32 indexed citations

Allen, Mariet, Sarah Lincoln, Jens O. Watzlawik, et al.. (2017). ABCA7 loss-of-function variants, expression, and neurologic disease risk. Neurology Genetics. 3(1). e126–e126. 25 indexed citations

Carrasquillo, Minerva M., Julia E. Crook, Otto Pedraza, et al.. (2014). Late-onset Alzheimer’s risk variants in memory decline, incident mild cognitive impairment, and Alzheimer’s disease. Neurobiology of Aging. 36(1). 60–67. 76 indexed citations

Pedraza, Otto, Mariet Allen, Kyle J. Jennette, et al.. (2013). Evaluation of memory endophenotypes for association with CLU, CR1, and PICALM variants in black and white subjects. Alzheimer s & Dementia. 10(2). 205–213. 39 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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