Lina Qin
Impact in
- Biotechnology top 10%
- Biochemistry top 10%
Papers in
-
- Fungal and yeast genetics research 8
- Microbial Metabolic Engineering and Bioproduction 6
- CRISPR and Genetic Engineering 3
-
- Biofuel production and bioconversion 10
- Co-authors
- Jianlong Zhang (3 shared papers)N. Louise Glass (4 shared papers)Jianzhong Huang (10 shared papers)Xianzhang Jiang (9 shared papers)Jason Liu (1 shared paper)Lori B. Huberman (1 shared paper)Feng Qi (3 shared papers)Yuxi Tian (7 shared papers)
- Journals
- Nano Research (4 papers)Biotechnology for Biofuels (4 papers)Journal of Assisted Reproduction and Genetics (2 papers)Journal of Agricultural and Food Chemistry (2 papers)International Journal of Molecular Sciences (2 papers)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Lina Qin
51 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 118
- Biotechnology 80
- Biochemistry 47
- Biological Psychiatry 17
- Molecular Biology 475
- Behavioral Neuroscience 20
Countries citing papers authored by Lina Qin
This map shows the geographic impact of Lina Qin'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 Lina Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lina Qin more than expected).
Fields of papers citing papers by Lina Qin
This network shows the impact of papers produced by Lina Qin. 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 Lina Qin. The network helps show where Lina Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lina Qin, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 73 | |
| 2 | 2012 | 70 | |
| 3 | 2020 | 66 | |
| 4 | 2017 | 63 | |
| 5 | 2024 | 47 | |
| 6 | 2017 | 46 | |
| 7 | 2022 | 44 | |
| 8 | 2023 | 43 | |
| 9 | 2018 | 41 | |
| 10 | 2019 | 39 | |
| 11 | 2023 | 35 | |
| 12 | 2010 | 32 | |
| 13 | 2018 | 28 | |
| 14 | 2015 | 28 | |
| 15 | 2021 | 27 | |
| 16 | 2020 | 27 | |
| 17 | 2023 | 25 | |
| 18 | 2023 | 23 | |
| 19 | 2017 | 20 | |
| 20 | 2020 | 20 |
About Lina Qin
Lina Qin is a scholar working on Molecular Biology, Biomedical Engineering, Electrical and Electronic Engineering, Plant Science and Biotechnology, having authored 57 papers that have together received 1.0k indexed citations. Recurring topics across this work include Biofuel production and bioconversion (10 papers), Fungal and yeast genetics research (8 papers), Perovskite Materials and Applications (7 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Conducting polymers and applications (3 papers), Plant-Microbe Interactions and Immunity (3 papers), Enzyme Production and Characterization (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Biotechnology (80 citations), Biochemistry (47 citations), Biological Psychiatry (17 citations), Molecular Biology (475 citations) and Behavioral Neuroscience (20 citations). Lina Qin has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Jianlong Zhang, N. Louise Glass, Jianzhong Huang, Xianzhang Jiang, Jason Liu, Lori B. Huberman, Feng Qi, Yuxi Tian, Mengfei Zhu and Daocheng Hong. Their work appears in journals such as Nano Research, Biotechnology for Biofuels, Journal of Assisted Reproduction and Genetics, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.
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.