Ning Leng

6.6k citations
33 papers · 2.5k · 1 hit paper · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification
    • Gene Regulatory Network Analysis
    • Pluripotent Stem Cells Research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Genomics and Phylogenetic Studies

Papers in

Ning Leng

31 papers receiving 2.5k citations

Ning Leng's Hit Papers

EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments 2013 · 979 citations
9790+4+8Years since publication250500750

Peers

Ning Leng
Comparison fields: 5 of 132
  • Cancer Research 359
  • Molecular Biology 1.6k
  • Biophysics 90
  • Immunology 177
  • Aging 15
Replace Shian Su with:
Shian Su Australia
Hailiang Mei Netherlands
Javier Santoyo‐López Spain
Itoshi Nikaido Japan
Marius Gheorghe Norway
Damir Baranas̆ić United Kingdom
Roland F. Schwarz Germany
Jeanne Chèneby France
Jie Yan China
Hamed S. Najafabadi Canada
Ning Leng relative to Shian Su Australia Shian Su's profile →
Citations per field
00.5×10×20×30.2×
Shian Su · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ning Leng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ning Leng Line = papers co-authored together Ning Leng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
Hit paper breakdown →
2013979
2 2016319
3 2017195
4 2015122
5 2013110
6 2017109
7 2014103
8 201572
9 201861
10 201358
11 201454
12 201835
13 201634
14 201534
15 201828
16 201526
17 201622
18 202020
19 201319
20 201419

About Ning Leng

Ning Leng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Cancer Research, having authored 33 papers that have together received 2.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Ferroptosis and cancer prognosis (3 papers), Renal cell carcinoma treatment (3 papers), Pluripotent Stem Cells Research (3 papers), Bladder and Urothelial Cancer Treatments (3 papers), Epigenetics and DNA Methylation (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (359 citations), Molecular Biology (1.6k citations), Biophysics (90 citations), Immunology (177 citations) and Aging (15 citations). Ning Leng has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Christina Kendziorski, James A. Thomson, Ron Stewart, Anna I. Rissman, Jill D. Haag, Bart M. G. Smits, Michael N. Gould, John A. Dawson, Victor Ruotti and Li‐Fang Chu. Their work appears in journals such as Bioinformatics, Nature Communications, PLoS Computational Biology, Cancer Research and PLoS ONE.

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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