Nifang Niu

1.9k total citations
37 papers, 1.2k citations indexed

About

Nifang Niu is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Nifang Niu has authored 37 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Nifang Niu's work include Cancer Genomics and Diagnostics (10 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Nifang Niu is often cited by papers focused on Cancer Genomics and Diagnostics (10 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer-related molecular mechanisms research (4 papers). Nifang Niu collaborates with scholars based in United States, China and Sweden. Nifang Niu's co-authors include Liewei Wang, Krishna R. Kalari, Gregory D. Jenkins, Anthony Batzler, Brooke L. Fridley, Quin F. Wills, Xiaojia Tang, Jean‐Pierre Kocher, Liang Li and Kevin J. Thompson and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Nifang Niu

37 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nifang Niu United States 19 728 384 205 171 120 37 1.2k
F. Javier Carmona Spain 18 1.1k 1.5× 478 1.2× 262 1.3× 119 0.7× 168 1.4× 25 1.6k
Stephen J. Klaus United States 16 774 1.1× 584 1.5× 190 0.9× 253 1.5× 108 0.9× 21 2.0k
Georgia Sotiropoulou‐Bonikou Greece 16 445 0.6× 210 0.5× 252 1.2× 324 1.9× 126 1.1× 36 973
Ya‐Sian Chang Taiwan 21 700 1.0× 388 1.0× 251 1.2× 77 0.5× 64 0.5× 71 1.2k
Marshall S. Scicchitano United States 16 555 0.8× 248 0.6× 175 0.9× 194 1.1× 230 1.9× 24 1.1k
Cheng‐Chi Chang Taiwan 21 1.3k 1.8× 478 1.2× 502 2.4× 113 0.7× 113 0.9× 26 1.8k
Maria Concetta Faniello Italy 22 719 1.0× 361 0.9× 182 0.9× 86 0.5× 78 0.7× 55 1.2k
Guillermo Pita Spain 20 427 0.6× 255 0.7× 350 1.7× 217 1.3× 170 1.4× 42 1.1k
Youji Feng China 29 1.2k 1.6× 506 1.3× 496 2.4× 275 1.6× 93 0.8× 56 1.9k
Masamitsu Onda Japan 21 730 1.0× 186 0.5× 341 1.7× 136 0.8× 69 0.6× 43 1.2k

Countries citing papers authored by Nifang Niu

Since Specialization
Citations

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

Fields of papers citing papers by Nifang Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nifang Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Nifang Niu. A scholar is included among the top collaborators of Nifang Niu 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 Nifang Niu. Nifang Niu 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.
Kraft, Ira L., Caner Saygin, Pankhuri Wanjari, et al.. (2023). Sequential tumor molecular profiling identifies likely germline variants. Genetics in Medicine. 26(3). 101037–101037. 3 indexed citations
2.
Setia, Namrata, Pankhuri Wanjari, Nifang Niu, et al.. (2019). Next-generation sequencing identifies 2 genomically distinct groups among pyloric gland adenomas. Human Pathology. 97. 103–111. 9 indexed citations
3.
Alpert, Lindsay, Sabah Kadri, Nifang Niu, et al.. (2019). Targeted mutational analysis of inflammatory bowel disease–associated colorectal cancers. Human Pathology. 89. 44–50. 19 indexed citations
4.
Vu, Trung Nghia, Quin F. Wills, Krishna R. Kalari, et al.. (2018). Isoform-level gene expression patterns in single-cell RNA-sequencing data. Bioinformatics. 34(14). 2392–2400. 12 indexed citations
5.
Qin, Sisi, Duan Liu, Manish Kohli, et al.. (2017). TSPYL Family Regulates CYP17A1 and CYP3A4 Expression: Potential Mechanism Contributing to Abiraterone Response in Metastatic Castration‐Resistant Prostate Cancer. Clinical Pharmacology & Therapeutics. 104(1). 201–210. 29 indexed citations
6.
Kadri, Sabah, Nifang Niu, Jeremy P. Segal, et al.. (2017). Synchronous and Metastatic Papillary and Follicular Thyroid Carcinomas with Unique Molecular Signatures. Endocrine Pathology. 29(1). 9–14. 17 indexed citations
7.
Vu, Trung Nghia, Quin F. Wills, Krishna R. Kalari, et al.. (2016). Beta-Poisson model for single-cell RNA-seq data analyses. Bioinformatics. 32(14). 2128–2135. 101 indexed citations
8.
Nair, Asha, Nifang Niu, Xiaojia Tang, et al.. (2016). Circular RNAs and their associations with breast cancer subtypes. Oncotarget. 7(49). 80967–80979. 134 indexed citations
9.
Kadri, Sabah, Bradley Long, Chao Jie Zhen, et al.. (2016). Clinical Validation of a Next-Generation Sequencing Genomic Oncology Panel via Cross-Platform Benchmarking against Established Amplicon Sequencing Assays. Journal of Molecular Diagnostics. 19(1). 43–56. 106 indexed citations
10.
Liu, Tongzheng, Yuan Fang, Haoxing Zhang, et al.. (2015). HEATR1 Negatively Regulates Akt to Help Sensitize Pancreatic Cancer Cells to Chemotherapy. Cancer Research. 76(3). 572–581. 33 indexed citations
11.
Tang, Xiaojia, Saurabh Baheti, Khader Shameer, et al.. (2014). The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data. Nucleic Acids Research. 42(22). e172–e172. 26 indexed citations
12.
Niu, Nifang, Xiang‐Lin Tan, Brooke L. Fridley, et al.. (2013). Abstract 2271: Metformin pharmacogenomics: A genome-wide associate study to identify genetic and epigenetic biomarkers involved in metformin response.. Cancer Research. 73(8_Supplement). 2271–2271. 1 indexed citations
13.
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15.
Tan, Xiang-Lin, Ann M. Moyer, Brooke L. Fridley, et al.. (2011). Genetic Variation Predicting Cisplatin Cytotoxicity Associated with Overall Survival in Lung Cancer Patients Receiving Platinum-Based Chemotherapy. Clinical Cancer Research. 17(17). 5801–5811. 82 indexed citations
16.
Rudin, Dan, Liang Li, Nifang Niu, Krishna R. Kalari, & Judith A Gilbert. (2011). Gemcitabine Cytotoxicity: Interaction of Efflux and Deamination. PubMed. 2(1). 1–10. 34 indexed citations
17.
Zhu, Xilin, Te Du, Nifang Niu, et al.. (2011). Human leukocyte antigen class I and class II genes polymorphisms might be associated with interferon α therapy efficiency of chronic hepatitis B. Antiviral Research. 89(3). 189–192. 5 indexed citations
18.
Niu, Nifang, Venkatraman Manickam, Krishna R. Kalari, et al.. (2009). Human Glucocorticoid Receptor α Gene (NR3C1) Pharmacogenomics: Gene Resequencing and Functional Genomics. The Journal of Clinical Endocrinology & Metabolism. 94(8). 3072–3084. 32 indexed citations
19.
Wu, Xiaopan, Nifang Niu, Kerstin Brismar, et al.. (2008). Apolipoprotein M promoter polymorphisms alter promoter activity and confer the susceptibility to the development of type 1 diabetes. Clinical Biochemistry. 42(1-2). 17–21. 32 indexed citations
20.
Niu, Nifang, Xilin Zhu, Te Du, et al.. (2006). Single nucleotide polymorphisms in the proximal promoter region of apolipoprotein M gene (apoM) confer the susceptibility to development of type 2 diabetes in Han Chinese. Diabetes/Metabolism Research and Reviews. 23(1). 21–25. 47 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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