Amanda Neises

593 total citations
8 papers, 410 citations indexed

About

Amanda Neises is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Amanda Neises has authored 8 papers receiving a total of 410 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Biomedical Engineering. Recurrent topics in Amanda Neises's work include Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers) and 3D Printing in Biomedical Research (2 papers). Amanda Neises is often cited by papers focused on Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers) and 3D Printing in Biomedical Research (2 papers). Amanda Neises collaborates with scholars based in United States, China and Hong Kong. Amanda Neises's co-authors include Xiao‐Bing Zhang, Ruijun Su, David J. Baylink, K.‐H. William Lau, Kimberly J. Payne, Wanqiu Chen, Daila S. Gridley, Jun Wang, Xianmei Meng and Jianping Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Amanda Neises

8 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Amanda Neises United States	8	342	80	59	48	45	8	410
Methichit Wattanapanitch Thailand	12	283 0.8×	69 0.9×	57 1.0×	28 0.6×	37 0.8×	35	400
Shilpita Sarcar Belgium	7	226 0.7×	62 0.8×	54 0.9×	23 0.5×	127 2.8×	8	324
Nuttha Klincumhom Thailand	12	215 0.6×	48 0.6×	48 0.8×	30 0.6×	45 1.0×	22	322
Nergis Kara United States	6	606 1.8×	39 0.5×	53 0.9×	29 0.6×	70 1.6×	6	713
Yanting Xue China	7	625 1.8×	66 0.8×	128 2.2×	42 0.9×	71 1.6×	9	709
Miyuki Ono Japan	5	393 1.1×	40 0.5×	132 2.2×	40 0.8×	74 1.6×	6	531
Fatima Amor France	9	430 1.3×	60 0.8×	29 0.5×	51 1.1×	75 1.7×	10	474
Colin Andrus United States	7	552 1.6×	48 0.6×	99 1.7×	50 1.0×	185 4.1×	7	646
Tushar Menon United States	7	407 1.2×	24 0.3×	106 1.8×	48 1.0×	106 2.4×	12	592
Hitomi Takada Japan	13	402 1.2×	72 0.9×	76 1.3×	51 1.1×	50 1.1×	17	575

Countries citing papers authored by Amanda Neises

Since Specialization

Citations

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

Fields of papers citing papers by Amanda Neises

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda Neises

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Zhang, Jianping, Xiaolan Li, Amanda Neises, et al.. (2016). Different Effects of sgRNA Length on CRISPR-mediated Gene Knockout Efficiency. Scientific Reports. 6(1). 28566–28566. 78 indexed citations

2.

Wen, Wei, Jianping Zhang, Jing Xu, et al.. (2016). Enhanced Generation of Integration-free iPSCs from Human Adult Peripheral Blood Mononuclear Cells with an Optimal Combination of Episomal Vectors. Stem Cell Reports. 6(6). 873–884. 40 indexed citations

3.

Chen, Wanqiu, David J. Baylink, Amanda Neises, et al.. (2015). PDGFB-based stem cell gene therapy increases bone strength in the mouse. Proceedings of the National Academy of Sciences. 112(29). E3893–900. 55 indexed citations

4.

Su, Ruijun, Amanda Neises, & Xiao‐Bing Zhang. (2014). Generation of iPS Cells from Human Peripheral Blood Mononuclear Cells Using Episomal Vectors. Methods in molecular biology. 1357. 57–69. 40 indexed citations

5.

Su, Ruijun, David J. Baylink, Amanda Neises, et al.. (2013). Efficient Generation of Integration-Free iPS Cells from Human Adult Peripheral Blood Using BCL-XL Together with Yamanaka Factors. PLoS ONE. 8(5). e64496–e64496. 65 indexed citations

6.

Yang, Yadong, Amanda Neises, Kimberly J. Payne, et al.. (2013). Few Single Nucleotide Variations in Exomes of Human Cord Blood Induced Pluripotent Stem Cells. PLoS ONE. 8(4). e59908–e59908. 25 indexed citations

7.

Meng, Xianmei, Ruijun Su, David J. Baylink, et al.. (2013). Rapid and efficient reprogramming of human fetal and adult blood CD34+ cells into mesenchymal stem cells with a single factor. Cell Research. 23(5). 658–672. 33 indexed citations

8.

Meng, Xianmei, Amanda Neises, Ruijun Su, et al.. (2011). Efficient Reprogramming of Human Cord Blood CD34+ Cells Into Induced Pluripotent Stem Cells With OCT4 and SOX2 Alone. Molecular Therapy. 20(2). 408–416. 74 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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