Ni Liu

11.6k total citations · 3 hit papers
175 papers, 8.7k citations indexed

About

Ni Liu is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Ni Liu has authored 175 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 29 papers in Oncology and 28 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Ni Liu's work include Lung Cancer Treatments and Mutations (23 papers), RNA modifications and cancer (14 papers) and Adsorption and biosorption for pollutant removal (11 papers). Ni Liu is often cited by papers focused on Lung Cancer Treatments and Mutations (23 papers), RNA modifications and cancer (14 papers) and Adsorption and biosorption for pollutant removal (11 papers). Ni Liu collaborates with scholars based in China, Canada and United States. Ni Liu's co-authors include Ming‐Sound Tsao, Frances A. Shepherd, Chang‐Qi Zhu, Lesley Seymour, Keyue Ding, Shaobo Liu, Akira Sakurada, Yunguo Liu, Marlo Whitehead and Suzanne Kamel‐Reid and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.

In The Last Decade

Ni Liu

169 papers receiving 8.5k citations

Hit Papers

Erlotinib in Lung Cancer — Molecular and Clinical Predict... 2005 2026 2012 2019 2005 2008 2021 400 800 1.2k

Peers

Ni Liu
Comparison fields: 5 of 199
  • Molecular Biology 3.0k
  • Pulmonary and Respiratory Medicine 3.0k
  • Oncology 2.5k
  • Cancer Research 1.7k
  • Water Science and Technology 818
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Kexin Chen China
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Kexin Chen China View profile →
Citations per field, relative to Ni Liu
Ni Liu · 1×
Citations per year, relative to Ni Liu
Ni Liu · 1×

Countries citing papers authored by Ni Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ni Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ni Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ni Liu. A scholar is included among the top collaborators of Ni Liu 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 Ni Liu. Ni Liu 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
# Work Indexed citations
1 9
2 10
3 10
4 10
5 7
6 3
7 19
8 33
9 204
10 46
11 33
12 18
13 46
14 10
15 14
16 31
17 37
18
Flavans with Anti-HSV Activity from the Leaves of Ficus microcarpa L.
2
19
Role of KRAS and EGFR As Biomarkers of Response to Erlotinib in National Cancer Institute of Canada Clinical Trials Group Study BR.21 breakdown →
561
20 189

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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