Ning Leng

6.4k total citations · 1 hit paper
33 papers, 2.4k citations indexed

About

Ning Leng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Ning Leng has authored 33 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Pulmonary and Respiratory Medicine and 5 papers in Cancer Research. Recurrent topics in Ning Leng's work include Single-cell and spatial transcriptomics (8 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Pluripotent Stem Cells Research (3 papers). Ning Leng is often cited by papers focused on Single-cell and spatial transcriptomics (8 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Pluripotent Stem Cells Research (3 papers). Ning Leng collaborates with scholars based in United States, France and Greece. Ning Leng's co-authors include Christina Kendziorski, James A. Thomson, Ron Stewart, Bart M. G. Smits, Anna I. Rissman, Michael N. Gould, Jill D. Haag, John A. Dawson, Victor Ruotti and Li‐Fang Chu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Ning Leng

31 papers receiving 2.3k citations

Hit Papers

EBSeq: an empirical Bayes hierarchical model for inferenc... 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Leng United States 19 1.7k 430 253 183 182 33 2.4k
Hailiang Mei Netherlands 26 1.5k 0.9× 439 1.0× 258 1.0× 265 1.4× 226 1.2× 133 2.6k
Tetsutaro Hayashi Japan 25 2.2k 1.3× 515 1.2× 312 1.2× 184 1.0× 146 0.8× 65 2.7k
Lifang Hu China 28 1.0k 0.6× 378 0.9× 202 0.8× 93 0.5× 210 1.2× 67 2.1k
Céline Keime France 28 2.1k 1.3× 424 1.0× 282 1.1× 356 1.9× 249 1.4× 71 3.1k
Hamed S. Najafabadi Canada 23 2.1k 1.3× 396 0.9× 170 0.7× 179 1.0× 164 0.9× 64 2.8k
Javier Santoyo‐López Spain 19 1.7k 1.0× 312 0.7× 176 0.7× 221 1.2× 110 0.6× 30 2.3k
Shian Su Australia 12 1.3k 0.8× 300 0.7× 196 0.8× 300 1.6× 86 0.5× 16 1.9k
Sonia Tarazona Spain 16 2.1k 1.3× 590 1.4× 461 1.8× 239 1.3× 129 0.7× 31 3.2k
San Ming Wang United States 27 1.8k 1.1× 541 1.3× 318 1.3× 196 1.1× 262 1.4× 99 2.6k
Stephanie A. Miller United States 26 1.2k 0.7× 460 1.1× 182 0.7× 320 1.7× 651 3.6× 44 2.3k

Countries citing papers authored by Ning Leng

Since Specialization
Citations

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

Fields of papers citing papers by Ning Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Leng. A scholar is included among the top collaborators of Ning Leng 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 Ning Leng. Ning Leng 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
2.
Zhang, Shibo, et al.. (2024). Advancing tumor vaccines: Overcoming TME challenges, delivery strategies, and biomaterial-based vaccine for enhanced immunotherapy. Critical Reviews in Oncology/Hematology. 205. 104576–104576. 3 indexed citations
3.
Chu, Li‐Fang, Srikumar Sengupta, Ning Leng, et al.. (2020). Reproducibility across single-cell RNA-seq protocols for spatial ordering analysis. PLoS ONE. 15(9). e0239711–e0239711. 4 indexed citations
4.
Barry, Christopher, Matthew T. Schmitz, Jennifer M. Bolin, et al.. (2019). Automated minute scale RNA-seq of pluripotent stem cell differentiation reveals early divergence of human and mouse gene expression kinetics. PLoS Computational Biology. 15(12). e1007543–e1007543. 7 indexed citations
5.
6.
Bacher, Rhonda, Ning Leng, Li‐Fang Chu, et al.. (2018). Trendy: segmented regression analysis of expression dynamics in high-throughput ordered profiling experiments. BMC Bioinformatics. 19(1). 380–380. 25 indexed citations
7.
Zhang, Jue, Li‐Fang Chu, Zhonggang Hou, et al.. (2017). Functional characterization of human pluripotent stem cell-derived arterial endothelial cells. Proceedings of the National Academy of Sciences. 114(30). E6072–E6078. 105 indexed citations
8.
Bacher, Rhonda, Li‐Fang Chu, Ning Leng, et al.. (2017). SCnorm: robust normalization of single-cell RNA-seq data. Nature Methods. 14(6). 584–586. 190 indexed citations
9.
Leng, Ning, Jeea Choi, Li‐Fang Chu, et al.. (2016). OEFinder: a user interface to identify and visualize ordering effects in single-cell RNA-seq data. Bioinformatics. 32(9). 1408–1410. 14 indexed citations
10.
Jiang, Peng, Ning Leng, Michael Collins, et al.. (2016). Analysis of embryonic development in the unsequenced axolotl: Waves of transcriptomic upheaval and stability. Developmental Biology. 426(2). 143–154. 22 indexed citations
11.
Leng, Ning, Li‐Fang Chu, Christopher Barry, et al.. (2015). Oscope identifies oscillatory genes in unsynchronized single-cell RNA-seq experiments. Nature Methods. 12(10). 947–950. 116 indexed citations
12.
Tran, Khoa, Steven A. Jackson, Ning Leng, et al.. (2015). Collaborative rewiring of the pluripotency network by chromatin and signalling modulating pathways. Nature Communications. 6(1). 6188–6188. 26 indexed citations
13.
Zhang, Tan, Ashish Patro, Ning Leng, & Suman Banerjee. (2015). A Wireless Spectrum Analyzer in Your Pocket. 69–74. 33 indexed citations
14.
Bishop, Kathleen A., Mark B. Meyer, Nancy A. Benkusky, et al.. (2014). The Osteoblast to Osteocyte Transition: Epigenetic Changes and Response to the Vitamin D3Hormone. Molecular Endocrinology. 28(7). 1150–1165. 89 indexed citations
15.
Hines, Elizabeth A, Ning Leng, Jamie M. Verheyden, et al.. (2014). Comparison of Temporal Transcriptomic Profiles from Immature Lungs of Two Rat Strains Reveals a Viral Response Signature Associated with Chronic Lung Dysfunction. PLoS ONE. 9(12). e112997–e112997. 7 indexed citations
16.
Yao, Chen, Ning Leng, K.A. Weigel, et al.. (2014). Prediction of genetic contributions to complex traits using whole genome sequencing data. BMC Proceedings. 8(S1). S68–S68. 3 indexed citations
17.
Croguennec, Thomas, Ning Leng, Pascaline Hamon, et al.. (2014). Caseinomacropeptide modifies the heat-induced denaturation–aggregation process of β-lactoglobulin. International Dairy Journal. 36(1). 55–64. 19 indexed citations
18.
Yang, Lingyu, et al.. (2013). Multivariable model reference adaptive control of aircraft with asymmetric damage. Beijing Hangkong Hangtian Daxue xuebao. 39(11). 1509. 1 indexed citations
19.
Stewart, Ron, Shulan Tian, Jeff Nie, et al.. (2013). Comparative RNA-seq Analysis in the Unsequenced Axolotl: The Oncogene Burst Highlights Early Gene Expression in the Blastema. PLoS Computational Biology. 9(3). e1002936–e1002936. 105 indexed citations
20.
Smits, Bart M. G., Jill D. Haag, Anna I. Rissman, et al.. (2013). The Gene Desert Mammary Carcinoma Susceptibility Locus Mcs1a Regulates Nr2f1 Modifying Mammary Epithelial Cell Differentiation and Proliferation. PLoS Genetics. 9(6). e1003549–e1003549. 18 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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