Lantian Tang

2.4k citations
20 papers · 1.7k indexed · 1 hit paper · h-index 12
Topics
Advanced Sensor Technologies Research (10 papers)Electrical and Thermal Properties of Materials (6 papers)CAR-T cell therapy research (4 papers)

In The Last Decade

Lantian Tang

18 papers receiving 1.6k citations

Hit Papers

Prolonged presence of SARS-CoV-2 viral RNA in faecal samples202020262022202420202505007501000

Peers

Lantian Tang
Comparison fields: 5 of 125
  • Infectious Diseases 1.0k
  • Molecular Biology 347
  • Biomedical Engineering 290
  • Neurology 226
  • Oncology 181
Replace Hidekazu Nishimura with:
Hidekazu Nishimura Japan
Kathrin Sutter Germany
Yishan Zheng China
Yong Gao China
Yingzhi Liu China
Kian Sing Chan Singapore
Zhigang Song China
Qian Cao China
Lantian Tang relative to Hidekazu Nishimura Japan Hidekazu Nishimura's profile →
Citations per field
00.5×4.7×
Hidekazu Nishimura · 1×
Citations per year

Countries citing papers authored by Lantian Tang

Since Specialization
Citations

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

Fields of papers citing papers by Lantian Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lantian Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Lantian Tang. A scholar is included among the top collaborators of Lantian Tang 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 Lantian Tang. Lantian Tang 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 1
3 0
4 17
5 3
6 1
7 4
8 7
9 69
10 30
11 23
12 18
13 1
14 37
15 43
16 139
17 24
18 105
19
Prolonged presence of SARS-CoV-2 viral RNA in faecal samplesbreakdown →
1104
20 38

About Lantian Tang

Lantian Tang is a scholar working on Infectious Diseases, Biomedical Engineering and Computational Mechanics, having authored 20 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Sensor Technologies Research (10 papers), Electrical and Thermal Properties of Materials (6 papers) and CAR-T cell therapy research (4 papers). The work is most often cited by research in Infectious Diseases (1.0k citations), General Dentistry (51 citations) and Modeling and Simulation (85 citations). Lantian Tang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xi Huang, Guanmin Jiang, Jiahai Lu, Cheng Guo, Yongjian Wu, Xin Dong, Yanping Tang, Huan Yin, Nischay Mishra and Jianhui Zhou. Their work appears in journals such as Advanced Materials, The Journal of Physical Chemistry B and Chemical Engineering Journal.

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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