Ling Huo

426 citations
19 papers · 335 · h-index 8

Impact in

Papers in

Ling Huo

17 papers receiving 329 citations

Peers

Ling Huo
Comparison fields: 5 of 61
  • Hepatology 154
  • Radiology, Nuclear Medicine and Imaging 77
  • Critical Care and Intensive Care Medicine 17
  • Health Informatics 4
  • Epidemiology 99
Replace Zhimei Huang with:
Zhimei Huang China
Peter Littler United Kingdom
Hanlin Wang China
Zhi-Mei Huang China
Jian Zhu China
M Hirasa Japan
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Citations per field
00.5×7.3×
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Citations per year

Countries citing papers authored by Ling Huo

Since Specialization
Citations

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

Fields of papers citing papers by Ling Huo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 200683
2 200659
3 200750
4 200650
5 201626
6 201815
7 202113
8
[Long term (5 years) outcome of radiofrequency ablation for hepatocellular carcinoma in 256 cases].
200510
9 20157
10
[Morphology-based criteria for ultrasonic assessment of axillary lymph node status in primary breast cancer].
20127
11 20244
12
[Standard treatment of liver malignancies with radiofrequency ablation].
20053
13
[Efficacy of radiofrequency ablation of 343 patients with hepatic tumor and the relevant complications].
20053
14
[Application of contrast-enhanced ultrasonography in selecting indication of radiofrequency ablation among hepatocellular carcinoma patients].
20052
15 20241
16 20241
17
[Survival and prognostic analysis of radiofrequency ablation of hepatocellular carcinoma].
20061
18 20250
19 20150

About Ling Huo

Ling Huo is a scholar working on Hepatology, Pathology and Forensic Medicine, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 19 papers that have together received 335 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Breast Lesions and Carcinomas (7 papers), Breast Cancer Treatment Studies (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Breast Implant and Reconstruction (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and AI in cancer detection (2 papers). The work is most often cited by research in Hepatology (154 citations), Radiology, Nuclear Medicine and Imaging (77 citations), Critical Care and Intensive Care Medicine (17 citations), Health Informatics (4 citations) and Epidemiology (99 citations). Ling Huo has collaborated with scholars based in China, Ethiopia and United States. Frequent co-authors include Minhua Chen, Kun Yan, Wei Yang, Wen Gao, Shanshan Yin, Jiyou Li, Wei Wu, Zhihui Fan, Ying Dai and Hui Zhang. Their work appears in journals such as American Journal of Roentgenology, Cancer, Surgery Today, Cancer Imaging and International Journal of Cancer.

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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