Amanda Kuzma

5.9k total citations
3 papers, 233 citations indexed

About

Amanda Kuzma is a scholar working on Molecular Biology, Genetics and Rheumatology. According to data from OpenAlex, Amanda Kuzma has authored 3 papers receiving a total of 233 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Genetics and 1 paper in Rheumatology. Recurrent topics in Amanda Kuzma's work include Genetic Associations and Epidemiology (2 papers), Bioinformatics and Genomic Networks (2 papers) and Nutrition, Genetics, and Disease (1 paper). Amanda Kuzma is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Bioinformatics and Genomic Networks (2 papers) and Nutrition, Genetics, and Disease (1 paper). Amanda Kuzma collaborates with scholars based in United States, Netherlands and China. Amanda Kuzma's co-authors include Adam C. Naj, Yi Zhao, Brian W. Kunkle, Haoyi Weng, Qiongshi Lu, Hui Lü, Yu Shi, Shubhabrata Mukherjee, Mo Li and Yiming Hu and has published in prestigious journals such as Nature Genetics and Alzheimer s & Dementia.

In The Last Decade

Amanda Kuzma

3 papers receiving 233 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanda Kuzma United States	2	161	143	16	14	12	3	233
Neïla Belguith Tunisia	9	123 0.8×	150 1.0×	15 0.9×	9 0.6×	6 0.5×	34	226
Zhanye Zheng China	6	107 0.7×	159 1.1×	25 1.6×	20 1.4×	4 0.3×	7	255
Hongcheng Yao Hong Kong	8	157 1.0×	191 1.3×	39 2.4×	14 1.0×	4 0.3×	11	289
J. N. Hirschhorn United States	3	189 1.2×	126 0.9×	21 1.3×	12 0.9×	7 0.6×	4	283
Maria Karaleftheri Greece	5	92 0.6×	74 0.5×	26 1.6×	25 1.8×	8 0.7×	9	178
Huifang Yan China	9	79 0.5×	108 0.8×	13 0.8×	24 1.7×	9 0.8×	23	201
Sebastian Röner Germany	3	68 0.4×	84 0.6×	19 1.2×	7 0.5×	8 0.7×	5	160
Shouye Liu China	6	108 0.7×	81 0.6×	16 1.0×	15 1.1×	4 0.3×	10	192
Benjamin Kamien Australia	9	128 0.8×	124 0.9×	7 0.4×	9 0.6×	9 0.8×	19	228
Natalie Trump United Kingdom	5	245 1.5×	122 0.9×	5 0.3×	9 0.6×	7 0.6×	6	368

Countries citing papers authored by Amanda Kuzma

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Kuzma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Kuzma

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

All Works

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3 of 3 papers shown

1.

Wang, Li‐San, Yuk Yee Leung, Wan‐Ping Lee, et al.. (2024). Genomic Frontiers in Alzheimer’s Research: A Primer on the Alzheimer’s Disease Sequencing Project (ADSP) and its AI/ML Opportunities. Alzheimer s & Dementia. 20(S1). e087888–e087888. 1 indexed citations

2.

Hu, Yiming, Mo Li, Qiongshi Lu, et al.. (2019). A statistical framework for cross-tissue transcriptome-wide association analysis. Nature Genetics. 51(3). 568–576. 229 indexed citations

3.

Naj, Adam C., Jennifer E. Below, Yi Zhao, et al.. (2017). [O1–03–01]: GENOME‐WIDE RARE VARIANT IMPUTATION AND TISSUE‐SPECIFIC TRANSCRIPTOMIC ANALYSIS IDENTIFY NOVEL RARE VARIANT CANDIDATE LOCI IN LATE‐ONSET ALZHEIMER's DISEASE: THE ALZHEIMER's DISEASE GENETICS CONSORTIUM. Alzheimer s & Dementia. 13(7S_Part_3). 3 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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