Amei Amei

530 total citations
23 papers, 361 citations indexed

About

Amei Amei is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Amei Amei has authored 23 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 6 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Amei Amei's work include Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic diversity and population structure (3 papers). Amei Amei is often cited by papers focused on Genetic Associations and Epidemiology (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers) and Genetic diversity and population structure (3 papers). Amei Amei collaborates with scholars based in United States, China and South Korea. Amei Amei's co-authors include Brian Tilston Smith, Mark A. Codner, Paulo S. Pinheiro, Jianbo Xu, John Klicka, Zuoheng Wang, Lingeng Lu, Xiting Yan, Stephen Roberts and Chih-Hsiang Ho and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Genetics.

In The Last Decade

Amei Amei

22 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amei Amei United States 10 79 78 53 49 46 23 361
Xia Lin China 10 18 0.2× 110 1.4× 62 1.2× 81 1.7× 49 1.1× 35 307
Jiong 9 48 0.6× 91 1.2× 19 0.4× 19 0.4× 21 0.5× 37 370
Robinson United States 8 14 0.2× 120 1.5× 28 0.5× 20 0.4× 33 0.7× 20 369
Liu S China 10 15 0.2× 129 1.7× 20 0.4× 37 0.8× 33 0.7× 80 344
María Eugenia Dies Álvarez Spain 12 26 0.3× 130 1.7× 9 0.2× 35 0.7× 18 0.4× 35 452
Jason Mitchell United States 9 81 1.0× 160 2.1× 51 1.0× 111 2.3× 54 1.2× 10 460
Lisa Hartmann Germany 12 36 0.5× 267 3.4× 36 0.7× 26 0.5× 26 0.6× 21 449
Oliver P. Günther Canada 14 75 0.9× 195 2.5× 30 0.6× 74 1.5× 14 0.3× 27 716
Reiko Okubo Japan 11 31 0.4× 276 3.5× 36 0.7× 16 0.3× 32 0.7× 28 494
Liat Cohen Israel 14 20 0.3× 78 1.0× 34 0.6× 17 0.3× 8 0.2× 31 557

Countries citing papers authored by Amei Amei

Since Specialization
Citations

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

Fields of papers citing papers by Amei Amei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amei Amei

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

All Works

20 of 20 papers shown
1.
Liu, Yunqing, Ningshan Li, Gang Xu, et al.. (2024). SDePER: a hybrid machine learning and regression method for cell-type deconvolution of spatial barcoding-based transcriptomic data. Genome biology. 25(1). 271–271. 4 indexed citations
2.
Zhuang, Xiaowei, Gang Xu, Amei Amei, et al.. (2024). Detecting time‐varying genetic effects in Alzheimer's disease using a longitudinal genome‐wide association studies model. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 16(2). e12597–e12597.
3.
Xu, Gang, Amei Amei, Weimiao Wu, et al.. (2024). Retrospective varying coefficient association analysis of longitudinal binary traits: Application to the identification of genetic loci associated with hypertension. The Annals of Applied Statistics. 18(1). 487–505. 2 indexed citations
4.
Harrington, Anthony, Katerina Papp, Richard Tillett, et al.. (2022). Urban monitoring of antimicrobial resistance during a COVID-19 surge through wastewater surveillance. The Science of The Total Environment. 853. 158577–158577. 29 indexed citations
5.
Ni, Jian, Yingtao Jiang, Yihan Chen, et al.. (2021). Multi-class Cardiovascular Disease Detection and Classification from 12-Lead ECG Signals Using an Inception Residual Network. 31. 1532–1537. 2 indexed citations
6.
Wu, Weimiao, et al.. (2020). Regulation and characterization of tumor-infiltrating immune cells in breast cancer. International Immunopharmacology. 90. 107167–107167. 20 indexed citations
7.
Yip, Christopher, et al.. (2020). Pharmacokinetics of CamSA, a potential prophylactic compound against Clostridioides difficile infections. Biochemical Pharmacology. 183. 114314–114314. 6 indexed citations
8.
Wu, Weimiao, Zhong Wang, Ke Xu, et al.. (2019). Retrospective Association Analysis of Longitudinal Binary Traits Identifies Important Loci and Pathways in Cocaine Use. Genetics. 213(4). 1225–1236. 10 indexed citations
9.
Wang, Xia, Amei Amei, J. Steven de Belle, & Stephen Roberts. (2017). Environmental effects on Drosophila brain development and learning. Journal of Experimental Biology. 221(Pt 1). 23 indexed citations
10.
Shan, Guogen, et al.. (2015). A modified Friedman test for randomized complete block designs. Communications in Statistics - Simulation and Computation. 46(2). 1508–1519. 13 indexed citations
11.
Shan, Guogen, Amei Amei, & Daniel L. Young. (2015). Efficient Noninferiority Testing Procedures for Simultaneously Assessing Sensitivity and Specificity of Two Diagnostic Tests. Computational and Mathematical Methods in Medicine. 2015. 1–7. 2 indexed citations
12.
Pinheiro, Paulo S., et al.. (2015). Cancer incidence among Asian American populations in the United States, 2009-2011. International Journal of Cancer. 138(9). 2136–2145. 58 indexed citations
13.
Amei, Amei & Brian Tilston Smith. (2013). Robust Estimates of Divergence Times and Selection with a Poisson Random Field Model: A Case Study of Comparative Phylogeographic Data. Genetics. 196(1). 225–233. 6 indexed citations
14.
Zhang, Jingjing, Han‐Ying Liang, & Amei Amei. (2013). Asymptotic normality of estimators in heteroscedastic errors-in-variables model. AStA Advances in Statistical Analysis. 98(2). 165–195. 6 indexed citations
15.
Amei, Amei & Stanley Sawyer. (2012). Statistical Inference of Selection and Divergence from a Time-Dependent Poisson Random Field Model. PLoS ONE. 7(4). e34413–e34413. 2 indexed citations
16.
Codner, Mark A., et al.. (2012). Comparison of Breast Augmentation Incisions and Common Complications. Aesthetic Plastic Surgery. 36(5). 1096–1104. 65 indexed citations
17.
Amei, Amei, et al.. (2012). On a New Approach to SNR Estimation of BPSK Signals. International Journal of Electronics and Telecommunications. 58(3). 273–278. 4 indexed citations
18.
Smith, Brian Tilston, Amei Amei, & John Klicka. (2012). Evaluating the role of contracting and expanding rainforest in initiating cycles of speciation across the Isthmus of Panama. Proceedings of the Royal Society B Biological Sciences. 279(1742). 3520–3526. 42 indexed citations
19.
Amei, Amei, Wandong Fu, & Chih-Hsiang Ho. (2012). Time Series Analysis for Predicting the Occurrences of Large Scale Earthquakes. 17 indexed citations
20.
Cheney, Marcos A., et al.. (2008). A comparative study on the uptake of polycyclic aromatic hydrocarbons by Anodonta californiensis. Environmental Pollution. 157(2). 601–608. 9 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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