Danping Hu

32 papers receiving 482 citations

Peers

Danping Hu
Comparison fields: 5 of 98
  • Hepatology 38
  • Cancer Research 66
  • Cell Biology 56
  • Molecular Biology 216
  • Ophthalmology 27
Replace Yeonsil Yu with:
Yeonsil Yu South Korea
Xusheng Liu China
Melissa Petreaca United States
Panida Lertkiatmongkol United States
Huayang Wu United States
Kaini Liang China
Jir̆ı́ Uhlı́k Czechia
Shaojun Zhang China
Hong Tang China
Nathan Gasek United States
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Citations per field
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Citations per year

Countries citing papers authored by Danping Hu

Since Specialization
Citations

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

Fields of papers citing papers by Danping Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201456
2 202343
3 200842
4 202339
5 201133
6 202031
7 201725
8 202124
9 202322
10 202321
11 201917
12 201716
13 201715
14 201915
15
Post-neurosurgical meningitis caused by acinetobacter baumannii: case series and review of the literature.
201514
16 201711
17 201810
18 20219
19 20218
20
Endotoxin tolerance alleviates experimental acute liver failure via inhibition of high mobility group box 1.
20158

About Danping Hu

Danping Hu is a scholar working on Molecular Biology, Oncology, Surgery, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 34 papers that have together received 489 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Tissue Engineering and Regenerative Medicine (4 papers), 3D Printing in Biomedical Research (4 papers), Liver physiology and pathology (3 papers), Prostate Cancer Treatment and Research (3 papers), Biochemical Analysis and Sensing Techniques (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Hepatology (38 citations), Cancer Research (66 citations), Cell Biology (56 citations), Molecular Biology (216 citations) and Ophthalmology (27 citations). Danping Hu has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Wen‐Yang Hu, Gail S. Prins, Yin Shen, Yiqiao Xing, Yuanyuan Chen, Shiliang Liu, Hongquan Sun, Peyman Mehrabi, Yasser A. Ali and Muna Al‐Razgan. Their work appears in journals such as The Prostate, Journal of Visualized Experiments, Investigative Ophthalmology & Visual Science, Stem Cell Research & Therapy and Cancer Research.

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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