Tanghong Jia

956 citations
33 papers · 772 indexed · h-index 17
Topics
Orthopaedic implants and arthroplasty (7 papers)Spinal Cord Injury Research (5 papers)Bone Metabolism and Diseases (5 papers)

In The Last Decade

Tanghong Jia

33 papers receiving 769 citations

Peers

Tanghong Jia
Comparison fields: 5 of 84
  • Surgery 340
  • Molecular Biology 210
  • Pathology and Forensic Medicine 114
  • Cancer Research 97
  • Biomedical Engineering 92
Replace Guoxin Nan with:
Guoxin Nan China
Te‐Yang Huang Taiwan
Mikael Ivarsson Sweden
Song‐Shu Lin Taiwan
Yeonsil Yu South Korea
Peng Lin China
Tatyana Yufit United States
Samuel T. Robinson United States
Tulyapruek Tawonsawatruk Thailand
Tanghong Jia relative to Guoxin Nan China Guoxin Nan's profile →
Citations per field
00.5×1.5×
Guoxin Nan · 1×
Citations per year

Countries citing papers authored by Tanghong Jia

Since Specialization
Citations

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

Fields of papers citing papers by Tanghong Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tanghong Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Tanghong Jia. A scholar is included among the top collaborators of Tanghong Jia 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 Tanghong Jia. Tanghong Jia 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 8
2 3
3
β-Aescin shows potent antiproliferative activity in osteosarcoma cells by inducing autophagy, ROS generation and mitochondrial membrane potential loss.
5
4 8
5 11
6 39
7 16
8 39
9 17
10 8
11 82
12 49
13 21
14 9
15 9
16 7
17 53
18
Disposal report of a case of mushroom poisoning caused by Amanita pallidorosea.
4
19 23
20 38

About Tanghong Jia

Tanghong Jia is a scholar working on Pathology and Forensic Medicine, Surgery and Transplantation, having authored 33 papers that have together received 772 indexed citations. Recurring topics across this work include Orthopaedic implants and arthroplasty (7 papers), Spinal Cord Injury Research (5 papers) and Bone Metabolism and Diseases (5 papers). The work is most often cited by research in Surgery (340 citations), Cancer Research (97 citations) and Pathology and Forensic Medicine (114 citations). Tanghong Jia has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shang‐You Yang, Paul H. Wooley, Weiming Gong, Yunpeng Jiang, Bin Ning, Yuping Sun, Yali Han, Yanwen Zhang, Liu C and Brendon Richbourgh. Their work appears in journals such as PLoS ONE, Biomaterials and Scientific Reports.

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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