Hong Ji

566 citations
31 papers · 441 indexed · h-index 13
Co-authors
Chia Wen TsaiWen Shin ChangZhen LiuXin GuoYiming MaLei WangYing XiongLirong Zhang
Topics
Cancer-related molecular mechanisms research (6 papers)Ferroptosis and cancer prognosis (4 papers)MicroRNA in disease regulation (3 papers)
Partner nations
ChinaTaiwanSouth Korea

In The Last Decade

Hong Ji

30 papers receiving 435 citations

Peers

Hong Ji
Comparison fields: 5 of 81
  • Molecular Biology 253
  • Cancer Research 179
  • Oncology 94
  • Pathology and Forensic Medicine 44
  • Immunology 43
Replace Kuang‐Tzu Huang with:
Kuang‐Tzu Huang Taiwan
Shi‐Juan Mai China
Hong Yuan China
Caifeng Yue China
Chris Paraskeva United Kingdom
Mengxuan Xia China
Lina Sun China
Michele Carrer United States
Stephanie Needham United Kingdom
Hong Ji relative to Kuang‐Tzu Huang Taiwan Kuang‐Tzu Huang's profile →
Citations per field
00.5×
Kuang‐Tzu Huang · 1×
Citations per year

Countries citing papers authored by Hong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Hong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Ji. A scholar is included among the top collaborators of Hong Ji 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 Hong Ji. Hong Ji 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 12
3
Clinical efficacy analysis of transcatheter arterial chemoembolization (TACE) combined with radiofrequency ablation (RFA) in primary liver cancer and recurrent liver cancer.
15
4 2
5 6
6 42
7 85
8
The Contribution of Matrix Metalloproteinase-1 Genotype to Oral Cancer Susceptibility in Taiwan.
21
9 12
10
Matrix Metalloproteinase-1 Genetic Polymorphism in Breast Cancer in Taiwanese.
11
11 8
12 31
13
The Expression and Clinical Significance of miR-450a-5p in Serous Ovarian Cancer
1
14 16
15 2
16 6
17 23
18 12
19 8
20 2

About Hong Ji

Hong Ji is a scholar working on Cancer Research, Hepatology and Pathology and Forensic Medicine, having authored 31 papers that have together received 441 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Ferroptosis and cancer prognosis (4 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Cancer Research (179 citations), Molecular Biology (253 citations) and Geriatrics and Gerontology (14 citations). Hong Ji has collaborated with scholars based in China, Taiwan and South Korea. Frequent co-authors include Chia Wen Tsai, Wen Shin Chang, Zhen Liu, Xin Guo, Yiming Ma, Lei Wang, Ying Xiong, Lirong Zhang, Da Tian Bau and Cuizhi Geng. Their work appears in journals such as Gastroenterology, Biomedicine & Pharmacotherapy and Frontiers in Oncology.

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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