Ning Lan

7.7k total citations · 1 hit paper
39 papers, 2.4k citations indexed

About

Ning Lan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Management, Monitoring, Policy and Law. According to data from OpenAlex, Ning Lan has authored 39 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Management, Monitoring, Policy and Law. Recurrent topics in Ning Lan's work include Landslides and related hazards (7 papers), RNA and protein synthesis mechanisms (6 papers) and Cancer-related molecular mechanisms research (5 papers). Ning Lan is often cited by papers focused on Landslides and related hazards (7 papers), RNA and protein synthesis mechanisms (6 papers) and Cancer-related molecular mechanisms research (5 papers). Ning Lan collaborates with scholars based in China, United States and France. Ning Lan's co-authors include Mark Gerstein, M Snyder, Ronald Jansen, Paul Bertone, Perry L. Miller, Heng Zhu, David A. Hall, Scott Bidlingmaier, Ralph A. Dean and Antonio Casamayor and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Nature Biotechnology.

In The Last Decade

Ning Lan

33 papers receiving 2.3k citations

Hit Papers

Global Analysis of Protein Activities Using Proteome Chips 2001 2026 2009 2017 2001 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ning Lan China 13 2.1k 520 286 256 152 39 2.4k
Scott Bidlingmaier United States 20 2.4k 1.1× 743 1.4× 397 1.4× 252 1.0× 251 1.7× 34 3.0k
Daniel R. Boutz United States 22 1.5k 0.7× 274 0.5× 69 0.2× 232 0.9× 244 1.6× 33 2.2k
Veronica Morea Italy 29 1.8k 0.9× 498 1.0× 125 0.4× 50 0.2× 100 0.7× 72 2.5k
George O. Lovrecz Australia 22 1.9k 0.9× 829 1.6× 114 0.4× 38 0.1× 159 1.0× 42 3.1k
Niroshan Ramachandran United States 12 1.3k 0.6× 648 1.2× 353 1.2× 194 0.8× 38 0.3× 21 1.6k
Alessandro Angelini Italy 24 1.2k 0.5× 541 1.0× 100 0.3× 97 0.4× 54 0.4× 57 2.0k
Bruno Catimel Australia 26 1.5k 0.7× 397 0.8× 116 0.4× 111 0.4× 126 0.8× 73 2.3k
Kevin Drew United States 19 1.9k 0.9× 101 0.2× 55 0.2× 190 0.7× 169 1.1× 29 2.3k
Marie Dutreix France 32 2.0k 1.0× 525 1.0× 243 0.8× 28 0.1× 510 3.4× 90 3.3k
Tilman Schlothauer Germany 23 1.6k 0.8× 1.3k 2.5× 124 0.4× 188 0.7× 156 1.0× 45 2.2k

Countries citing papers authored by Ning Lan

Since Specialization
Citations

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

Fields of papers citing papers by Ning Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Lan

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Lan. A scholar is included among the top collaborators of Ning Lan 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 Lan. Ning Lan 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.
Hu, Kaiheng, Shuang Liu, Xiaopeng Zhang, et al.. (2025). A worldwide event-based debris flow barrier dam dataset from 1800 to 2023. Earth system science data. 17(4). 1573–1593. 1 indexed citations
2.
Chen, Min, Xuan Wang, Ning Lan, et al.. (2025). Prevalence and impact of fertility preservation among young women with breast cancer. Scientific Reports. 15(1). 7549–7549.
3.
Li, Pu, Kaiheng Hu, & Ning Lan. (2025). Mechanisms of debris-flow volume growth by eroding highly-consolidated landslide dams. International Journal of Sediment Research. 40(2). 222–240. 1 indexed citations
4.
Lan, Ning, et al.. (2025). Peak discharge amplication of debris flows in colluvial channels with varying cross-sections. Environmental Earth Sciences. 84(8). 1 indexed citations
6.
Lan, Ning, Shuheng Bai, Min Chen, et al.. (2024). MECOM Locus classical transcript isoforms affect tumor immune microenvironment and different targets in ovarian cancer. Journal of Ovarian Research. 17(1). 207–207. 1 indexed citations
7.
Lan, Ning, et al.. (2024). Experimental assessment of channel narrowness effects on debris-flow erosion. Bulletin of Engineering Geology and the Environment. 83(6). 6 indexed citations
8.
Gao, Ying, Junyang Wang, Xin Zhang, et al.. (2024). Predictive Role of Elevated Neutrophil-Lymphocyte Ratio for Bone Metastasis in Esophageal Cancer. Technology in Cancer Research & Treatment. 23. 2234013931–2234013931. 1 indexed citations
9.
Wei, Li, Kaiheng Hu, Shuang Liu, et al.. (2024). The vulnerability of buildings to a large-scale debris flow and outburst flood hazard cascade that occurred on 30 August 2020 in Ganluo, southwest China. Natural hazards and earth system sciences. 24(11). 4179–4197. 1 indexed citations
10.
Bai, Shuheng, Guixian Zhu, Xuan Wang, et al.. (2023). Prognostic value of extrahepatic metastasis on colon cancer with liver metastasis: a retrospective cohort study. Frontiers in Oncology. 13. 1172670–1172670. 1 indexed citations
11.
Xie, Peng, et al.. (2022). The Risk of Hippocampal Metastasis and the Associated High-Risk Factors in 411 Patients With Brain Metastases. Frontiers in Oncology. 12. 808443–808443. 4 indexed citations
12.
Duan, Ling, et al.. (2022). Identification of Autophagy-Related LncRNA to Predict the Prognosis of Colorectal Cancer. Frontiers in Genetics. 13. 906900–906900. 8 indexed citations
13.
Lan, Ning, et al.. (2020). FTO – A Common Genetic Basis for Obesity and Cancer. Frontiers in Genetics. 11. 559138–559138. 99 indexed citations
14.
Zhu, Heng, Bilgin Metin, Jason Ptacek, et al.. (2003). Workshop I – Global Analysis of Protein Activities Using Protein Chips. Biophysical Journal. 84(5). 3488–3488. 1 indexed citations
15.
Savchenko, Alexei, Adelinda Yee, Anna Khachatryan, et al.. (2003). Strategies for structural proteomics of prokaryotes: Quantifying the advantages of studying orthologous proteins and of using both NMR and X‐ray crystallography approaches. Proteins Structure Function and Bioinformatics. 50(3). 392–399. 63 indexed citations
16.
Lan, Ning, Shawn M. Douglas, Baolin Wu, et al.. (2003). Mining the Structural Genomics Pipeline: Identification of Protein Properties that Affect High-throughput Experimental Analysis. Journal of Molecular Biology. 336(1). 115–130. 119 indexed citations
17.
Lan, Ning, G.T. Montelione, & Mark Gerstein. (2003). Ontologies for proteomics: towards a systematic definition of structure and function that scales to the genome level. Current Opinion in Chemical Biology. 7(1). 44–54. 39 indexed citations
18.
Kumar, Anuj, Paul M. Harrison, Kei-Hoi Cheung, et al.. (2002). An integrated approach for finding overlooked genes in yeast. Nature Biotechnology. 20(1). 58–63. 80 indexed citations
19.
Howrey, Richard, K L Phillips, L. Wilson, et al.. (2000). An in vitro system for efficiently evaluating gene therapy approaches to hemoglobinopathies. Gene Therapy. 7(3). 215–223. 9 indexed citations
20.
L, Qu, et al.. (1995). cDNA Cloning and Structural Analysis of Rice ADP-Glucose Pyrophosphorylase Gene. Journal of Integrative Plant Biology. 37(12).

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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