Zhu-ting Fang

867 total citations
51 papers, 384 citations indexed

About

Zhu-ting Fang is a scholar working on Pulmonary and Respiratory Medicine, Hepatology and Surgery. According to data from OpenAlex, Zhu-ting Fang has authored 51 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 16 papers in Hepatology and 11 papers in Surgery. Recurrent topics in Zhu-ting Fang's work include Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease and Transplantation (8 papers) and Nanoplatforms for cancer theranostics (6 papers). Zhu-ting Fang is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (10 papers), Liver Disease and Transplantation (8 papers) and Nanoplatforms for cancer theranostics (6 papers). Zhu-ting Fang collaborates with scholars based in China, Türkiye and United States. Zhu-ting Fang's co-authors include Xiaoming Hu, Zhèn Yáng, Wei Huang, Jianjun Luo, Xu-Dong Qu, Linlin Wu, Sheng Qian, Qingxin Liu, Guangzhi Wang and Zhiping Yan and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Zhu-ting Fang

44 papers receiving 382 citations

Peers

Zhu-ting Fang
Comparison fields: 5 of 71
  • Hepatology 150
  • Biomedical Engineering 88
  • Pulmonary and Respiratory Medicine 71
  • Surgery 66
  • Molecular Biology 62
Replace Sheng Dong with:
Sheng Dong China
Chunwang Yuan China
Tianpei Guan China
Min Du China
Ningyang Jia China
Julien Namur France
Caterina Malcontenti‐Wilson Australia
Yu Wen China
Tyson A. Rietz United States
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Sheng Dong China View profile →
Citations per field, relative to Zhu-ting Fang
Zhu-ting Fang · 1×
Citations per year, relative to Zhu-ting Fang
Zhu-ting Fang · 1×

Countries citing papers authored by Zhu-ting Fang

Since Specialization
Citations

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

Fields of papers citing papers by Zhu-ting Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhu-ting Fang. 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 Zhu-ting Fang. The network helps show where Zhu-ting Fang may publish in the future.

Co-authorship network of co-authors of Zhu-ting Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Zhu-ting Fang. A scholar is included among the top collaborators of Zhu-ting Fang 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 Zhu-ting Fang. Zhu-ting Fang 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
# Work Indexed citations
1 3
2 0
3 0
4 1
5 0
6 0
7 2
8 8
9 1
10 0
11 1
12 1
13 1
14 2
15 2
16 5
17 6
18 13
19 16
20 9

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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