Ling Yan
Impact in
- Biochemistry top 5%
- Sulfur Compounds in Biology
- Spectroscopy top 5%
- Molecular Sensors and Ion Detection
Papers in
-
- 2D Materials and Applications 6
- MXene and MAX Phase Materials 5
-
- Advanced biosensing and bioanalysis techniques 4
- Heme Oxygenase-1 and Carbon Monoxide 2
- Co-authors
- Chaoyong Yang (4 shared papers)Chunyan Li (3 shared papers)Wen‐Li Jiang (3 shared papers)Shasha Jia (1 shared paper)Yishun Huang (1 shared paper)Yu Zhou (1 shared paper)Zhi Zhu (1 shared paper)Min Wu (1 shared paper)
- Journals
- Analytical Chemistry (2 papers)Biosensors and Bioelectronics (2 papers)Weather and Forecasting (1 paper)Journal of the American Chemical Society (1 paper)Applied Surface Science (1 paper)
- Partner nations
- ChinaUnited StatesRwanda
In The Last Decade
Ling Yan
17 papers receiving 816 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Biochemistry 110
- Spectroscopy 151
- Biomedical Engineering 383
- Bioengineering 39
- Molecular Biology 476
Countries citing papers authored by Ling Yan
This map shows the geographic impact of Ling Yan'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 Ling Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Yan more than expected).
Fields of papers citing papers by Ling Yan
This network shows the impact of papers produced by Ling Yan. 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 Ling Yan. The network helps show where Ling Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 307 | |
| 2 | Near-Infrared Fluorescent Probe with Large Stokes Shift for Imaging of Hydrogen Sulfide in Tumor-Bearing Mice Hit paper breakdown → | 2022 | 130 |
| 3 | 2010 | 77 | |
| 4 | 2021 | 75 | |
| 5 | 2009 | 48 | |
| 6 | 2016 | 47 | |
| 7 | 2011 | 41 | |
| 8 | 2021 | 31 | |
| 9 | 2021 | 23 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2021 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2025 | 3 | |
| 17 | 2023 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Ling Yan
Ling Yan is a scholar working on Materials Chemistry, Molecular Biology, Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering and Biomedical Engineering, having authored 20 papers that have together received 821 indexed citations. Recurring topics across this work include 2D Materials and Applications (6 papers), MXene and MAX Phase Materials (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Heusler alloys: electronic and magnetic properties (4 papers), Biosensors and Analytical Detection (3 papers), Molecular Sensors and Ion Detection (2 papers), Climate variability and models (2 papers) and Heme Oxygenase-1 and Carbon Monoxide (2 papers). The work is most often cited by research in Biochemistry (110 citations), Spectroscopy (151 citations), Biomedical Engineering (383 citations), Bioengineering (39 citations) and Molecular Biology (476 citations). Ling Yan has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Chaoyong Yang, Chunyan Li, Wen‐Li Jiang, Shasha Jia, Yishun Huang, Yu Zhou, Zhi Zhu, Min Wu, Shuang Zhou and Dewen Liu. Their work appears in journals such as Analytical Chemistry, Biosensors and Bioelectronics, Weather and Forecasting, Journal of the American Chemical Society and Applied Surface Science.
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.