Lianying Ge

464 total citations
22 papers, 354 citations indexed

About

Lianying Ge is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Lianying Ge has authored 22 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Lianying Ge's work include Gastric Cancer Management and Outcomes (4 papers), Cancer, Lipids, and Metabolism (3 papers) and RNA modifications and cancer (3 papers). Lianying Ge is often cited by papers focused on Gastric Cancer Management and Outcomes (4 papers), Cancer, Lipids, and Metabolism (3 papers) and RNA modifications and cancer (3 papers). Lianying Ge collaborates with scholars based in China, United States and United Kingdom. Lianying Ge's co-authors include Jiaxiang Ye, Yuzhou Qin, Rong Liang, Yan Lin, Tim J. Harrison, Caroline Sabin, Zhong‐Liao Fang, Qin-Yan Chen, Xueyan Wang and Jin-ye Yang and has published in prestigious journals such as PLoS ONE, The American Journal of Gastroenterology and Journal of Cellular Biochemistry.

In The Last Decade

Lianying Ge

22 papers receiving 354 citations

Peers

Lianying Ge
Comparison fields: 5 of 55
  • Molecular Biology 163
  • Cancer Research 112
  • Epidemiology 101
  • Hepatology 86
  • Oncology 65
Replace Yeben Qian with:
Yeben Qian China
Keshuai Dong China
Rong Yan China
Te-Sheng Chang Taiwan
Xinliang Ming China
Yichuan Yuan China
Mykola Onyshchenko United States
Zhi‐Hong Xian China
Wenli Sai China
Yeben Qian China View profile →
Citations per field, relative to Lianying Ge
Lianying Ge · 1×
Citations per year, relative to Lianying Ge
Lianying Ge · 1×

Countries citing papers authored by Lianying Ge

Since Specialization
Citations

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

Fields of papers citing papers by Lianying Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lianying Ge

This figure shows the co-authorship network connecting the top 25 collaborators of Lianying Ge. A scholar is included among the top collaborators of Lianying Ge 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 Lianying Ge. Lianying Ge 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 6
2 3
3 2
4 21
5 15
6 25
7 13
8
Analysis of cancer incidence and mortality in Guangxi cancer registration areas, 2016
1
9 19
10 8
11 6
12 11
13 12
14 32
15 7
16
Evaluation of miR-29c, miR-124, miR-135a and miR-148a in predicting lymph node metastasis and tumor stage of gastric cancer.
19
17 10
18 15
19 7
20 89

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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