Ting Liang

2.0k citations
122 papers · 1.4k indexed · h-index 20
Topics
Cancer, Hypoxia, and Metabolism (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Immune Response and Inflammation (6 papers)
Journals
Angewandte Chemie International EditionCirculationSHILAP Revista de lepidopterología
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Ting Liang

110 papers receiving 1.4k citations

Peers

Ting Liang
Comparison fields: 5 of 147
  • Molecular Biology 384
  • Oncology 167
  • Surgery 166
  • Radiology, Nuclear Medicine and Imaging 150
  • Cancer Research 142
Replace Xi Li with:
Xi Li China
Sung Chul Hwang South Korea
Georgios D. Lianos Greece
Rongrong Zhou China
Wen Chen China
Yanjun Wang China
Yingying Li China
Jinhui Zhang China
Yin Yin China
Michael Keese Germany
Ting Liang relative to Xi Li China Xi Li's profile →
Citations per field
00.5×1.6×
Xi Li · 1×
Citations per year

Countries citing papers authored by Ting Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Liang. A scholar is included among the top collaborators of Ting Liang 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 Ting Liang. Ting Liang 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 0
3 9
4 0
5 2
6 2
7 18
8 19
9 2
10
FAM46B Promotes Apoptosis and Inhibits Glycolysis of Prostate Cancer Through Inhibition of the MYC-LDHA Axis
1
11 9
12 43
13 19
14 30
15 15
16 1
17 1
18 5
19 9
20 52

About Ting Liang

Ting Liang is a scholar working on Chemical Health and Safety, Transplantation and Cancer Research, having authored 122 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Immune Response and Inflammation (6 papers). The work is most often cited by research in Hepatology (115 citations), Cancer Research (142 citations) and Radiology, Nuclear Medicine and Imaging (150 citations). Ting Liang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guihua Hou, Feng Gao, Wenhong Li, Terence K. Lee, Sheung Tat Fan, Chung Mau Lo, Kwan Man, TP Ng, Zhengqing Yuan and Xianting Wu. Their work appears in journals such as Angewandte Chemie International Edition, 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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