Ling Gao

2.9k citations
85 papers · 1.7k indexed · h-index 25
Topics
RNA modifications and cancer (7 papers)Glycosylation and Glycoproteins Research (7 papers)Transplantation: Methods and Outcomes (5 papers)
Journals
Journal of Biological ChemistryCirculationSHILAP Revista de lepidopterología

In The Last Decade

Ling Gao

79 papers receiving 1.7k citations

Peers

Ling Gao
Comparison fields: 5 of 127
  • Molecular Biology 640
  • Endocrinology, Diabetes and Metabolism 216
  • Physiology 190
  • Surgery 182
  • Cancer Research 160
Replace Pasquale Sperlongano with:
Pasquale Sperlongano Italy
Ekaterina A. Ivanova Russia
Bing H. Wang Australia
Peng Yu China
Xiaopeng Li China
Antonio Micali Italy
David Montaigne France
Sebastián Mas Spain
Karl Stangl Germany
Daniel Petrovič Slovenia
Ling Gao relative to Pasquale Sperlongano Italy Pasquale Sperlongano's profile →
Citations per field
00.5×
Pasquale Sperlongano · 1×
Citations per year

Countries citing papers authored by Ling Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Gao. A scholar is included among the top collaborators of Ling 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 Ling Gao. Ling 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
#WorkIndexed citations
1 0
2 1
3 3
4 18
5 3
6 38
7 7
8 4
9 23
10 67
11 66
12 14
13 24
14 18
15 25
16 97
17 89
18 2
19 25
20
Very Small Embryonic-Like Cells (VSELs) - A New Type of Ocular Stem Cell?
1

About Ling Gao

Ling Gao is a scholar working on Complementary and alternative medicine, Neurology and Cancer Research, having authored 85 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Glycosylation and Glycoproteins Research (7 papers) and Transplantation: Methods and Outcomes (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (216 citations), Cancer Research (160 citations) and Clinical Biochemistry (70 citations). Ling Gao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Hua Cai, Karine Laude, Richard Siow, Giovanni E. Mann, Aleksandra Vlajnic, Xing Chen, Karel Chalupský, Enrico Stefani, Wei Lin and Julio Rosenstock. Their work appears in journals such as Journal of Biological Chemistry, Circulation and SHILAP Revista de lepidopterología.

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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