Lingli He
Impact in
- Behavioral Neuroscience top 5%
- Stress Responses and Cortisol
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 3
-
- Hippo pathway signaling and YAP/TAZ 9
- Co-authors
- Ning Quan (3 shared papers)Wenmin Lai (2 shared papers)Chaoying He (6 shared papers)Xue Feng (5 shared papers)Zuoyun Wang (5 shared papers)David A. Padgett (1 shared paper)Jennifer Stark (1 shared paper)Manisha H. Shah (1 shared paper)
- Journals
- Nature Communications (3 papers)Journal of Neuroscience (3 papers)Journal of Biological Chemistry (2 papers)Nanoscale (2 papers)The EMBO Journal (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lingli He
36 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 115
- Behavioral Neuroscience 159
- Biological Psychiatry 102
- Neurology 110
- Cell Biology 176
- Aging 17
Countries citing papers authored by Lingli He
This map shows the geographic impact of Lingli He'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 Lingli He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingli He more than expected).
Fields of papers citing papers by Lingli He
This network shows the impact of papers produced by Lingli He. 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 Lingli He. The network helps show where Lingli He may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingli He, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 136 | |
| 2 | 2007 | 125 | |
| 3 | 2019 | 82 | |
| 4 | 2020 | 76 | |
| 5 | 2000 | 47 | |
| 6 | 2020 | 43 | |
| 7 | 2022 | 42 | |
| 8 | 2015 | 40 | |
| 9 | 2019 | 31 | |
| 10 | 2014 | 30 | |
| 11 | 2018 | 29 | |
| 12 | 2013 | 29 | |
| 13 | 2020 | 29 | |
| 14 | 2014 | 26 | |
| 15 | 2013 | 26 | |
| 16 | 2019 | 25 | |
| 17 | 2021 | 25 | |
| 18 | 2022 | 24 | |
| 19 | 2023 | 21 | |
| 20 | 2019 | 21 |
About Lingli He
Lingli He is a scholar working on Molecular Biology, Cell Biology, Plant Science, Oncology and Immunology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (9 papers), Legume Nitrogen Fixing Symbiosis (4 papers), Ubiquitin and proteasome pathways (4 papers), Plant Molecular Biology Research (3 papers), Plant nutrient uptake and metabolism (3 papers), RNA Research and Splicing (3 papers), Immune Response and Inflammation (3 papers) and Wastewater Treatment and Nitrogen Removal (3 papers). The work is most often cited by research in Behavioral Neuroscience (159 citations), Biological Psychiatry (102 citations), Neurology (110 citations), Cell Biology (176 citations) and Aging (17 citations). Lingli He has collaborated with scholars based in China, United States and France. Frequent co-authors include Ning Quan, Wenmin Lai, Chaoying He, Xue Feng, Zuoyun Wang, David A. Padgett, Jennifer Stark, Manisha H. Shah, Phillip T. Marucha and Michael A. Caligiuri. Their work appears in journals such as Nature Communications, Journal of Neuroscience, Journal of Biological Chemistry, Nanoscale and The EMBO Journal.
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.