Kim Allen

791 total citations
12 papers, 637 citations indexed

About

Kim Allen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Nutrition and Dietetics. According to data from OpenAlex, Kim Allen has authored 12 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Nutrition and Dietetics. Recurrent topics in Kim Allen's work include Prion Diseases and Protein Misfolding (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Innovative Teaching Methods (2 papers). Kim Allen is often cited by papers focused on Prion Diseases and Protein Misfolding (4 papers), Neuroscience and Neuropharmacology Research (3 papers) and Innovative Teaching Methods (2 papers). Kim Allen collaborates with scholars based in United States. Kim Allen's co-authors include Yury O. Chernoff, Gary P. Newnam, Keith D. Wilkinson, Tatiana A. Chernova, John Shanks, Susanne Müller, Renee D. Wegrzyn, Piotr A. Mieczkowski, Nina V. Romanova and A. Iván Hernández and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Molecular and Cellular Biology.

In The Last Decade

Kim Allen

11 papers receiving 629 citations

Peers

Kim Allen

MB

NEURO

CB

ND

MC

C Arantes Brazil

Adilya Dagkesamanskaya France

Lev Osherovich United States

N. Tomokane Japan

Margit Miesbauer Germany

Prusiner Sb United States

Eric M. Norstrom United States

Danielle Casanova France

Rachel Angers United States

Elena Quaglio Italy

C Arantes Brazil

Kim Allen

411 ×0.7

MB

190 ×1.0

NEURO

58 ×0.4

CB

110 ×0.8

ND

19 ×0.3

MC

Citations per year, relative to Kim Allen Kim Allen (= 1×) peers C Arantes

Countries citing papers authored by Kim Allen

Since Specialization

Citations

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

Fields of papers citing papers by Kim Allen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Allen

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

All Works

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12 of 12 papers shown

1.

Feuling, Mary Beth, et al.. (2022). Evaluation and Management of Reduced Dietary Diversity in Children with Pediatric Feeding Disorder. Journal of Autism and Developmental Disorders. 53(3). 1290–1297. 1 indexed citations

2.

Allen, Kim, et al.. (2022). Active Learning Interventions in a Predominantly Black, Urban College Increase Positive Attitudes toward Class Participation. 30(1). 17–30.

3.

Allen, Kim, et al.. (2018). Learning-induced ribosomal RNA is required for memory consolidation in mice—Evidence of differentially expressed rRNA variants in learning and memory. PLoS ONE. 13(10). e0203374–e0203374. 16 indexed citations

4.

Hernández, A. Iván, Juan Marcos Alarcón, & Kim Allen. (2015). New ribosomes for new memories?. Communicative & Integrative Biology. 8(2). e1017163–e1017163. 5 indexed citations

5.

Allen, Kim, et al.. (2014). Nucleolar Integrity Is Required for the Maintenance of Long-Term Synaptic Plasticity. PLoS ONE. 9(8). e104364–e104364. 25 indexed citations

6.

Gong, He, Nina V. Romanova, Kim Allen, et al.. (2012). Polyglutamine Toxicity Is Controlled by Prion Composition and Gene Dosage in Yeast. PLoS Genetics. 8(4). e1002634–e1002634. 45 indexed citations

7.

Reed, Teri, P.K. Imbrie, Kim Allen, et al.. (2007). Panel - tools to facilitate better teaching and learning: Concept inventories. S2E–1. 5 indexed citations

8.

Allen, Kim, et al.. (2006). Effects of Ubiquitin System Alterations on the Formation and Loss of a Yeast Prion. Journal of Biological Chemistry. 282(5). 3004–3013. 67 indexed citations

9.

Allen, Kim, Renee D. Wegrzyn, Tatiana A. Chernova, et al.. (2004). Hsp70 Chaperones as Modulators of Prion Life Cycle. Genetics. 169(3). 1227–1242. 144 indexed citations

10.

Chernova, Tatiana A., et al.. (2003). Pleiotropic Effects of Ubp6 Loss on Drug Sensitivities and Yeast Prion Are Due to Depletion of the Free Ubiquitin Pool. Journal of Biological Chemistry. 278(52). 52102–52115. 96 indexed citations

11.

Chernoff, Yury O., et al.. (1999). Evidence for a Protein Mutator in Yeast: Role of the Hsp70-Related Chaperone Ssb in Formation, Stability, and Toxicity of the [PSI] Prion. Molecular and Cellular Biology. 19(12). 8103–8112. 201 indexed citations

12.

Gartside, Peter S., et al.. (1978). Effects of varying maternal dietary cholesterol and phytosterol in lactating women and their infants. American Journal of Clinical Nutrition. 31(8). 1347–1354. 32 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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