Ling Han
Impact in
- Animal Science and Zoology top 2%
- Meat and Animal Product Quality
- Animal Nutrition and Physiology
- Cell Biology top 10%
- Calpain Protease Function and Regulation
Papers in
-
- Advanced biosensing and bioanalysis techniques 5
- Metabolism, Diabetes, and Cancer 3
- Cell Biology 11
- Calpain Protease Function and Regulation 10
- Co-authors
- Suonan Zhao (5 shared papers)Qunli Yu (6 shared papers)Xiuli Ma (2 shared papers)Xia Xiang (13 shared papers)Qunli Yu (7 shared papers)Fenghong Huang (11 shared papers)Xiaoyang Xia (11 shared papers)Lin‐Lin Wang (1 shared paper)
- Journals
- Frontiers in Bioengineering and Biotechnology (5 papers)Food Chemistry (4 papers)Sensors and Actuators B Chemical (4 papers)Food Research International (2 papers)RSC Advances (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Ling Han
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Animal Science and Zoology 349
- Cell Biology 155
- Geriatrics and Gerontology 21
- Physiology 144
- Biochemistry 33
Countries citing papers authored by Ling Han
This map shows the geographic impact of Ling Han'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 Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Han more than expected).
Fields of papers citing papers by Ling Han
This network shows the impact of papers produced by Ling Han. 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 Han. The network helps show where Ling Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Han, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 127 | |
| 2 | 2017 | 125 | |
| 3 | 2015 | 77 | |
| 4 | 2018 | 56 | |
| 5 | 2018 | 53 | |
| 6 | 2019 | 47 | |
| 7 | 2018 | 39 | |
| 8 | 2023 | 36 | |
| 9 | 2016 | 36 | |
| 10 | 2018 | 35 | |
| 11 | 2015 | 32 | |
| 12 | 2019 | 31 | |
| 13 | 2020 | 27 | |
| 14 | 2015 | 26 | |
| 15 | 2019 | 25 | |
| 16 | 2017 | 25 | |
| 17 | 2019 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2018 | 21 | |
| 20 | 2018 | 20 |
About Ling Han
Ling Han is a scholar working on Molecular Biology, Cell Biology, Physiology, Materials Chemistry and Surgery, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include Calpain Protease Function and Regulation (10 papers), Meat and Animal Product Quality (7 papers), Adipose Tissue and Metabolism (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Natural Compound Pharmacology Studies (4 papers), Metabolism, Diabetes, and Cancer (3 papers), Carbon and Quantum Dots Applications (3 papers) and Biochemical effects in animals (3 papers). The work is most often cited by research in Animal Science and Zoology (349 citations), Cell Biology (155 citations), Geriatrics and Gerontology (21 citations), Physiology (144 citations) and Biochemistry (33 citations). Ling Han has collaborated with scholars based in China, United States and India. Frequent co-authors include Suonan Zhao, Qunli Yu, Xiuli Ma, Xia Xiang, Qunli Yu, Fenghong Huang, Xiaoyang Xia, Lin‐Lin Wang, Zhen Zhang and Jiaying Zhang. Their work appears in journals such as Frontiers in Bioengineering and Biotechnology, Food Chemistry, Sensors and Actuators B Chemical, Food Research International and RSC Advances.
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.