Liang Ding

6.9k citations
174 papers · 5.4k indexed · 2 hit papers · h-index 37
Topics
MicroRNA in disease regulation (16 papers)Immune cells in cancer (14 papers)Cancer-related molecular mechanisms research (13 papers)

In The Last Decade

Liang Ding

168 papers receiving 5.3k citations

Hit Papers

Carcinoma-associated fibroblasts promote the stemness and...201720262020202320182017100200300400500

Peers

Liang Ding
Comparison fields: 5 of 157
  • Molecular Biology 2.7k
  • Cancer Research 1.6k
  • Immunology 812
  • Oncology 731
  • Biomedical Engineering 453
Replace Lei Zheng with:
Lei Zheng China
Haihong Zhong China
Lin Chen China
Xia Gao China
Yangyang Zhang China
Zhenzhen Li China
Jong‐Hoon Kim South Korea
Liang Chen China
Yihan Wang China
Min Zhou China
Liang Ding relative to Lei Zheng China Lei Zheng's profile →
Citations per field
00.5×1.5×
Lei Zheng · 1×
Citations per year

Countries citing papers authored by Liang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Liang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ding. A scholar is included among the top collaborators of Liang Ding 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 Liang Ding. Liang Ding 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 16
3 0
4 7
5 2
6 8
7 1
8 0
9 6
10 3
11 11
12 25
13 6
14 33
15 66
16
DNA methylation at the mu-1 opioid receptor gene (OPRM1) promoter predicts preoperative, acute, and chronic postsurgical pain after spine fusion
20
17 31
18
cGAS-STING: The Novel Mechanism of Cytosolic DNA Sensing Pathways
1
19 23
20 31

About Liang Ding

Liang Ding is a scholar working on Cancer Research, Electrochemistry and Otorhinolaryngology, having authored 174 papers that have together received 5.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (16 papers), Immune cells in cancer (14 papers) and Cancer-related molecular mechanisms research (13 papers). The work is most often cited by research in Cancer Research (1.6k citations), Electrochemistry (239 citations) and Molecular Biology (2.7k citations). Liang Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yanhong Ni, Jing Ren, Jianping Zhai, Yuxian Song, Yayi Hou, Yayi Hou, Dongya Zhang, Guo‐Ping Shi, Qingang Hu and Xiaofeng Huang. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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