Xiaohua Ni

2.1k total citations
43 papers, 1.6k citations indexed

About

Xiaohua Ni is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Xiaohua Ni has authored 43 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 6 papers in Genetics. Recurrent topics in Xiaohua Ni's work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA Research and Splicing (6 papers). Xiaohua Ni is often cited by papers focused on RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (6 papers) and RNA Research and Splicing (6 papers). Xiaohua Ni collaborates with scholars based in China, United States and Spain. Xiaohua Ni's co-authors include Shawn E. Lupold, Mark Castanares, Arnab Mukherjee, Judit Ribas, Wasim H. Chowdhury, Joshua T. Mendell, Srinivasan Yegnasubramanian, Tarana A. Kudrolli, Michael C. Haffner and Ron Rodriguez and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Xiaohua Ni

40 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaohua Ni China 18 1.2k 566 159 107 102 43 1.6k
Kristin F. Wilson United States 21 1.3k 1.1× 591 1.0× 127 0.8× 125 1.2× 70 0.7× 30 1.8k
Ruimin Chang China 24 1.3k 1.1× 892 1.6× 240 1.5× 85 0.8× 52 0.5× 50 1.9k
Changzheng Wang China 19 1.1k 0.9× 776 1.4× 169 1.1× 84 0.8× 78 0.8× 35 1.8k
Michael W.Y. Chan Taiwan 27 1.2k 1.0× 408 0.7× 271 1.7× 140 1.3× 92 0.9× 92 2.0k
Michael Karbiener Austria 22 985 0.8× 846 1.5× 105 0.7× 91 0.9× 59 0.6× 56 1.8k
Peter Fraisl Belgium 14 932 0.8× 691 1.2× 90 0.6× 170 1.6× 111 1.1× 19 1.8k
Francesca Raimondo Italy 18 1.0k 0.9× 375 0.7× 225 1.4× 53 0.5× 126 1.2× 36 1.6k
Yavuz Oktay Türkiye 13 1.4k 1.2× 760 1.3× 95 0.6× 276 2.6× 79 0.8× 33 2.1k

Countries citing papers authored by Xiaohua Ni

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohua Ni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohua Ni

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Ni. A scholar is included among the top collaborators of Xiaohua Ni 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 Xiaohua Ni. Xiaohua Ni 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.
Zhang, Tao, et al.. (2025). Engineered RNA nanostructures for scalable and efficient RNAi-based pesticides. Trends in biotechnology. 43(12). 3172–3195. 1 indexed citations
2.
3.
Ni, Xiaohua, Bo Sun, Zengyun Hu, et al.. (2023). Dynamic variations in and prediction of COVID-19 with omicron in the four first-tier cities of mainland China, Hong Kong, and Singapore. Frontiers in Public Health. 11. 1228564–1228564. 1 indexed citations
4.
Zhu, Haijun, Wanhong He, Sufen Zhang, et al.. (2023). Identification of an Immune Cell Infiltration-Related Prognostic Model to Guide Immunotherapy in Endometrial Carcinoma. SHILAP Revista de lepidopterología. 50(10). 1 indexed citations
5.
Zhang, Jinyu, et al.. (2019). Virulence difference of five type I dengue viruses and the intrinsic molecular mechanism. PLoS neglected tropical diseases. 13(3). e0007202–e0007202. 17 indexed citations
6.
Ni, Xiaohua, Yonggang Zhang, Kenji Zennami, et al.. (2015). Systemic Administration and Targeted Radiosensitization via Chemically Synthetic Aptamer–siRNA Chimeras in Human Tumor Xenografts. Molecular Cancer Therapeutics. 14(12). 2797–2804. 17 indexed citations
7.
Hatano, Koji, Binod Kumar, Yonggang Zhang, et al.. (2015). A functional screen identifies miRNAs that inhibit DNA repair and sensitize prostate cancer cells to ionizing radiation. Nucleic Acids Research. 43(8). 4075–4086. 68 indexed citations
8.
Ni, Xiaohua, et al.. (2015). ROS-Mediated DNA Methylation Pattern Alterations in Carcinogenesis. Current Drug Targets. 16(1). 13–19. 233 indexed citations
9.
Ni, Xiaohua, Yonggang Zhang, Judit Ribas, et al.. (2011). Prostate-targeted radiosensitization via aptamer-shRNA chimeras in human tumor xenografts. Journal of Clinical Investigation. 121(6). 2383–2390. 119 indexed citations
10.
Ni, Xiaohua, et al.. (2011). Cross talk between cAMP and p38 MAPK pathways in the induction of leptin by hCG in human placental syncytiotrophoblasts. Reproduction. 142(2). 369–375. 28 indexed citations
11.
Ni, Xiaohua, Mark Castanares, Arnab Mukherjee, & Shawn E. Lupold. (2011). Nucleic Acid Aptamers: Clinical Applications and Promising New Horizons. Current Medicinal Chemistry. 18(27). 4206–4214. 259 indexed citations
12.
Ribas, Judit, Xiaohua Ni, Michael C. Haffner, et al.. (2009). miR-21: An Androgen Receptor–Regulated MicroRNA that Promotes Hormone-Dependent and Hormone-Independent Prostate Cancer Growth. Cancer Research. 69(18). 7165–7169. 350 indexed citations
13.
14.
Ni, Xiaohua, Shaohua Gu, Jinhui Dai, et al.. (2003). Isolation and characterization of a novel human NM23-H1B gene, a different transcript of NM23-H1. Journal of Human Genetics. 48(2). 96–100. 12 indexed citations
15.
Ni, Xiaohua, Chaoneng Ji, Haipeng Cheng, et al.. (2003). Molecular cloning and characterization of the protein 4.1O gene, a novel member of the protein 4.1 family with focal expression in ovary. Journal of Human Genetics. 48(2). 101–106. 21 indexed citations
16.
Chen, Juxiang, Yan Huang, Hai Wu, et al.. (2003). Molecular cloning and characterization of a novel human J-domain protein gene (HDJ3) from the fetal brain. Journal of Human Genetics. 48(5). 217–221. 7 indexed citations
17.
Jiang, Min, et al.. (2002). Molecular cloning and characterization of a novel human gene (ANP32E alias LANPL) from human fetal brain. Cytogenetic and Genome Research. 97(1-2). 68–71. 9 indexed citations
18.
Ni, Xiaohua, Haipeng Cheng, Min Jiang, et al.. (2002). Cloning and characterization of a novel human pantothenate kinase gene. The International Journal of Biochemistry & Cell Biology. 34(2). 109–115. 12 indexed citations
19.
Cheng, Haipeng, Qi Gao, Min Jiang, et al.. (2002). Molecular cloning and characterization of a novel human protein phosphatase, LMW-DSP3. The International Journal of Biochemistry & Cell Biology. 35(2). 226–234. 10 indexed citations
20.
Ni, Xiaohua, Yangyang Ma, Haipeng Cheng, et al.. (2002). Molecular cloning and characterization of a novel human Rab (Rab2B) gene. Journal of Human Genetics. 47(10). 548–551. 21 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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