Gang Dong

1.3k citations
24 papers · 1.0k indexed · h-index 14
Topics
Cancer, Hypoxia, and Metabolism (4 papers)Liver physiology and pathology (4 papers)Liver Disease Diagnosis and Treatment (4 papers)

In The Last Decade

Gang Dong

24 papers receiving 1.0k citations

Peers

Gang Dong
Comparison fields: 5 of 97
  • Molecular Biology 443
  • Epidemiology 232
  • Oncology 220
  • Immunology 182
  • Cancer Research 182
Replace Cyrill Géraud with:
Cyrill Géraud Germany
Kenji Oyama Japan
Tsukasa Ashihara Japan
Mary C. Stevenson United States
Alix Berton Belgium
Hisashi Shinohara Japan
Floyd E. Fox United States
Zhijian Duan United States
Pieter De Bleser Belgium
Gang Dong relative to Cyrill Géraud Germany Cyrill Géraud's profile →
Citations per field
00.5×1.5×
Cyrill Géraud · 1×
Citations per year

Countries citing papers authored by Gang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Gang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Dong. A scholar is included among the top collaborators of Gang Dong 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 Gang Dong. Gang Dong 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 9
2 6
3 18
4 11
5 12
6 35
7 22
8 30
9 40
10
Hepatic fibrosis and supersonic shear imaging in patients with different etiological chronic hepatic diseases.
3
11 48
12 51
13 11
14 6
15 47
16 40
17
Hepatocyte growth factor/scatter factor-induced activation of MEK and PI3K signal pathways contributes to expression of proangiogenic cytokines interleukin-8 and vascular endothelial growth factor in head and neck squamous cell carcinoma.
228
18 1
19 156
20 85

About Gang Dong

Gang Dong is a scholar working on Hepatology, Immunology and Allergy and Cancer Research, having authored 24 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (4 papers), Liver physiology and pathology (4 papers) and Liver Disease Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (168 citations), Cancer Research (182 citations) and Immunology and Allergy (56 citations). Gang Dong has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Louise T. Chow, Thomas R. Broker, Carter Van Waes, Ning T. Yeh, Zhong Chen, C C Bancroft, Chih‐Ming Chiang, Jiefeng Cui, Dongmei Gao and Ramtin Agah. Their work appears in journals such as Proceedings of the National Academy of Sciences, Oncogene and Journal of Virology.

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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