Dabing Huang

514 citations
23 papers · 407 · h-index 11

Impact in

Papers in

    • RNA modifications and cancer 3
    • Cancer-related gene regulation 2
    • Ubiquitin and proteasome pathways 1
    • Heat shock proteins research 1
    • Cancer-related molecular mechanisms research 4

Dabing Huang

23 papers receiving 392 citations

Peers

Dabing Huang
Comparison fields: 5 of 71
  • Endocrine and Autonomic Systems 54
  • Cancer Research 90
  • Aging 9
  • Reproductive Medicine 38
  • Complementary and alternative medicine 26
Replace Yi Yao with:
Yi Yao China
Zhengxiang Huang China
Qinghui Xiong China
Yaguang Hu China
Jianyuan Gao China
Guorong Wen China
Chen Gao China
Yinliang Zhang China
Fatemeh Dashti Iran
Maija Vaittinen Finland
Dabing Huang relative to Yi Yao China Yi Yao's profile →
Citations per field
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Yi Yao · 1×
Citations per year

Countries citing papers authored by Dabing Huang

Since Specialization
Citations

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

Fields of papers citing papers by Dabing Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dabing Huang, 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 Dabing Huang Line = papers co-authored together Dabing Huang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200991
2 201056
3 201240
4 201739
5 201729
6 202127
7 202125
8 202324
9 201815
10 202314
11 202010
12 20229
13 20209
14 20205
15 20233
16 20252
17
The cancer/testis antigen HORMAD1 promotes gastric cancer progression by activating the NF-κB signaling pathway and inducing epithelial-mesenchymal transition.
20232
18 20232
19 20251
20 20221

About Dabing Huang

Dabing Huang is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Biomedical Engineering, having authored 23 papers that have together received 407 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), 3D Printing in Biomedical Research (3 papers), RNA modifications and cancer (3 papers), Sperm and Testicular Function (2 papers), Cancer-related gene regulation (2 papers), Pancreatic function and diabetes (1 paper), Ubiquitin and proteasome pathways (1 paper) and Heat shock proteins research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (54 citations), Cancer Research (90 citations), Aging (9 citations), Reproductive Medicine (38 citations) and Complementary and alternative medicine (26 citations). Dabing Huang has collaborated with scholars based in China and Japan. Frequent co-authors include Shilian Hu, Gan Shen, Shi Yin, Xiaodong Jiang, Zhengmei Lv, Xiaoyi Jia, Xiaodong Jiang, Rui Wang, Yueyin Pan and Xinghua Han. Their work appears in journals such as Cancer Cell International, Andrologia, Cancer Letters, Advanced Science and Gene.

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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