Cheng Ding

1.3k citations
39 papers · 965 · h-index 18

Impact in

Papers in

Cheng Ding

36 papers receiving 954 citations

Peers

Cheng Ding
Comparison fields: 5 of 94
  • Hepatology 72
  • Cancer Research 123
  • Immunology 155
  • Oncology 180
  • Epidemiology 188
Replace Hongchun Liu with:
Hongchun Liu China
Lijing Wang China
Shigenori Yamamoto Japan
Jing Han China
Yanbin Wang China
Veerle Van Marck Belgium
Eirini Pantazi Spain
Lech Chrostek Poland
Bingchang Zhang China
Cheng Ding relative to Hongchun Liu China Hongchun Liu's profile →
Citations per field
00.5×1.5×
Hongchun Liu · 1×
Citations per year

Countries citing papers authored by Cheng Ding

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cheng Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cheng Ding Line = papers co-authored together Cheng Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016134
2
Tumor microenvironment in chemoresistance, metastasis and immunotherapy of pancreatic cancer.
202089
3 201582
4 201777
5
Astaxanthin prevents against lipopolysaccharide-induced acute lung injury and sepsis via inhibiting activation of MAPK/NF-κB.
201953
6 200750
7 200641
8 202134
9 201232
10
Clinical analysis of pulmonary cryptococcosis in non-HIV patients in south China.
201531
11 201929
12
Severe pneumonia in the elderly: a multivariate analysis of risk factors.
201526
13 201223
14 201422
15 201322
16
BMSCs-Derived Exosomal MiR-126-3p Inhibits the Viability of NSCLC Cells by Targeting PTPN9.
202219
17 202019
18 202219
19 202017
20 202016

About Cheng Ding

Cheng Ding is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Epidemiology and Cancer Research, having authored 39 papers that have together received 965 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (8 papers), Ferroptosis and cancer prognosis (4 papers), Hepatitis B Virus Studies (2 papers), Cancer Cells and Metastasis (2 papers), Hepatitis C virus research (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Mesenchymal stem cell research (2 papers) and Axon Guidance and Neuronal Signaling (2 papers). The work is most often cited by research in Hepatology (72 citations), Cancer Research (123 citations), Immunology (155 citations), Oncology (180 citations) and Epidemiology (188 citations). Cheng Ding has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Menghua Dai, Yatong Li, Xing Cheng, Shunda Wang, Xueding Cai, Mayun Chen, Lixin Chen, Yanfan Chen, Hanyu Zhang and Yupei Zhao. Their work appears in journals such as PLoS ONE, Scientific Reports, Reproduction Fertility and Development, American Journal of Translational Research and Disease Markers.

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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