Li Gao

2.0k total citations
47 papers, 553 citations indexed

About

Li Gao is a scholar working on Molecular Biology, Cancer Research and Physiology. According to data from OpenAlex, Li Gao has authored 47 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Physiology. Recurrent topics in Li Gao's work include Muscle Physiology and Disorders (7 papers), Gut microbiota and health (5 papers) and Epigenetics and DNA Methylation (5 papers). Li Gao is often cited by papers focused on Muscle Physiology and Disorders (7 papers), Gut microbiota and health (5 papers) and Epigenetics and DNA Methylation (5 papers). Li Gao collaborates with scholars based in China, United States and Malaysia. Li Gao's co-authors include Xi Lin, Wenxin Jiang, Zhengwei Huang, Guangpeng Li, Lei Yang, Wen-Zhen Lin, Chunling Bai, Xuchen Hu, Chenguang Niu and Keyong Yuan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Li Gao

42 papers receiving 533 citations

Peers

Li Gao
Comparison fields: 5 of 106
  • Molecular Biology 299
  • Cancer Research 80
  • Genetics 74
  • Periodontics 65
  • Education 64
Replace Gregory A. Moyerbrailean with:
Gregory A. Moyerbrailean United States
Chee Kai Chan Kazakhstan
Shilpa Garg India
John Stewart United States
Jean S. Fleming New Zealand
Juan Jiménez United States
Do‐Seon Lim South Korea
Christina Yee United States
Caroline Arnold Germany
Shuxian Wu China
Gregory A. Moyerbrailean United States View profile →
Citations per field, relative to Li Gao
Li Gao · 1×
Citations per year, relative to Li Gao
Li Gao · 1×

Countries citing papers authored by Li Gao

Since Specialization
Citations

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

Fields of papers citing papers by Li Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Li Gao. A scholar is included among the top collaborators of Li Gao 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 Li Gao. Li Gao 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 0
2 0
3 3
4 5
5 3
6 1
7 0
8 4
9 3
10 3
11 8
12 18
13 22
14 26
15 16
16
[Expression of miRNA-4497 in human chorionic villi from early recurrent miscarriage and the influence on apoptosis].
5
17 14
18 18
19 36
20
Detection of RNA of infectious hypodermal and haematopoietic necrosis virus (IHHNV) in Penaeus vannamei using reverse transcription polymerase chain reaction (RT-PCR)
1

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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