Longguang Tang
- Biomedical Engineering top 2%
- Molecular Biology top 10%
- Materials Chemistry top 10%
- Biomaterials top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Xiaoyuan ChenZijian ZhouXiaohong ChenSureya NijiatiFantian ZengWenpei FanZhantong WangZhèn Yáng
- Topics
- Nanoplatforms for cancer theranostics (26 papers)Nanoparticle-Based Drug Delivery (14 papers)Advanced Nanomaterials in Catalysis (13 papers)
- Journals
- Journal of the American Chemical SocietyAdvanced MaterialsAngewandte Chemie International Edition
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Longguang Tang
58 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Biomedical Engineering 1.2k
- Molecular Biology 932
- Materials Chemistry 660
- Biomaterials 418
- Pulmonary and Respiratory Medicine 383
Countries citing papers authored by Longguang Tang
This map shows the geographic impact of Longguang 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 Longguang Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longguang Tang more than expected).
Fields of papers citing papers by Longguang Tang
This network shows the impact of papers produced by Longguang 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 Longguang Tang. The network helps show where Longguang Tang may publish in the future.
Co-authorship network of co-authors of Longguang Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Longguang Tang. A scholar is included among the top collaborators of Longguang 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 Longguang Tang. Longguang Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 26 | |
| 7 | 18 | |
| 8 | 59 | |
| 9 | Ferroptosis Detection: From Approaches to Applicationsbreakdown → | 160 |
| 10 | 24 | |
| 11 | 20 | |
| 12 | 12 | |
| 13 | 28 | |
| 14 | 12 | |
| 15 | 111 | |
| 16 | 30 | |
| 17 | 82 | |
| 18 | 29 | |
| 19 | 77 | |
| 20 | 29 |
About Longguang Tang
Longguang Tang is a scholar working on Biomaterials, Molecular Medicine and Biomedical Engineering, having authored 62 papers that have together received 2.5k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (26 papers), Nanoparticle-Based Drug Delivery (14 papers) and Advanced Nanomaterials in Catalysis (13 papers). The work is most often cited by research in Biomaterials (418 citations), Biomedical Engineering (1.2k citations) and Molecular Medicine (132 citations). Longguang Tang has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Xiaoyuan Chen, Zijian Zhou, Xiaohong Chen, Sureya Nijiati, Fantian Zeng, Wenpei Fan, Zhantong Wang, Zhèn Yáng, Ling Li and Orit Jacobson. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Angewandte Chemie International Edition.
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.