Jiayan Lang
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in ⓘ
- Oncology 13
- Peptidase Inhibition and Analysis 9
- Pancreatic and Hepatic Oncology Research 3
- Chemokine receptors and signaling 2
- Co-authors
- Guangjun Nie (17 shared papers)Ying Zhao (13 shared papers)Tianjiao Ji (10 shared papers)Yinlong Zhang (9 shared papers)Jian Shi (8 shared papers)Hao Qin (9 shared papers)Yanping Ding (6 shared papers)Ruifang Zhao (8 shared papers)
- Journals
- ACS Nano (5 papers)ACS Applied Materials & Interfaces (2 papers)Angewandte Chemie International Edition (2 papers)Advanced Materials (2 papers)Nanoscale (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jiayan Lang
27 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Biomaterials 677
- Biomedical Engineering 793
- Oncology 469
- Cancer Research 169
- Molecular Biology 770
Countries citing papers authored by Jiayan Lang
This map shows the geographic impact of Jiayan Lang'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 Jiayan Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiayan Lang more than expected).
Fields of papers citing papers by Jiayan Lang
This network shows the impact of papers produced by Jiayan Lang. 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 Jiayan Lang. The network helps show where Jiayan Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiayan Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | 2015 | 185 | |
| 3 | 2015 | 169 | |
| 4 | 2019 | 139 | |
| 5 | 2019 | 129 | |
| 6 | 2016 | 126 | |
| 7 | 2018 | 112 | |
| 8 | 2018 | 92 | |
| 9 | 2022 | 78 | |
| 10 | 2017 | 78 | |
| 11 | 2018 | 72 | |
| 12 | 2019 | 54 | |
| 13 | 2017 | 47 | |
| 14 | 2017 | 31 | |
| 15 | 2015 | 29 | |
| 16 | 2019 | 29 | |
| 17 | 2015 | 26 | |
| 18 | 2023 | 23 | |
| 19 | 2023 | 21 | |
| 20 | 2022 | 20 |
About Jiayan Lang
Jiayan Lang is a scholar working on Oncology, Otorhinolaryngology, Biomaterials, Microbiology and Cancer Research, having authored 27 papers that have together received 1.7k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (9 papers), Advanced biosensing and bioanalysis techniques (5 papers), Nanoplatforms for cancer theranostics (4 papers), Supramolecular Self-Assembly in Materials (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), RNA Interference and Gene Delivery (3 papers), Bacterial biofilms and quorum sensing (2 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Biomaterials (677 citations), Biomedical Engineering (793 citations), Oncology (469 citations), Cancer Research (169 citations) and Molecular Biology (770 citations). Jiayan Lang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guangjun Nie, Ying Zhao, Tianjiao Ji, Yinlong Zhang, Jian Shi, Hao Qin, Yanping Ding, Ruifang Zhao, Zhihai Qin and Xiao Zhao. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces, Angewandte Chemie International Edition, Advanced Materials and Nanoscale.
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.