Feng Liang

1.1k total citations
57 papers, 838 citations indexed

About

Feng Liang is a scholar working on Molecular Biology, Biomedical Engineering and Immunology. According to data from OpenAlex, Feng Liang has authored 57 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 13 papers in Biomedical Engineering and 8 papers in Immunology. Recurrent topics in Feng Liang's work include Soil Carbon and Nitrogen Dynamics (7 papers), Soil and Unsaturated Flow (4 papers) and Natural Fiber Reinforced Composites (3 papers). Feng Liang is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (7 papers), Soil and Unsaturated Flow (4 papers) and Natural Fiber Reinforced Composites (3 papers). Feng Liang collaborates with scholars based in China, United States and Australia. Feng Liang's co-authors include Richard L. Huganir, Loren D. Walensky, Lei Shen, Xiaorong Zhao, Qimei Lin, Guitong Li, Wenting Feng, Yugang Wang, Xin Jing and Minggang Xu and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and The Science of The Total Environment.

In The Last Decade

Feng Liang

44 papers receiving 822 citations

Peers

Feng Liang
Comparison fields: 5 of 122
  • Molecular Biology 318
  • Cellular and Molecular Neuroscience 219
  • Soil Science 212
  • Plant Science 82
  • Biomaterials 79
Replace Yiding Li with:
Yiding Li China
Lichun Wang China
Xiaoyin Liu China
Xiaoliang He China
Quan Li China
Yunjia Liu China
Jing Xiong China
Baogui Zhang China
Yingxin Lin Australia
Kaitao Lai Australia
Yiding Li China View profile →
Citations per field, relative to Feng Liang
Feng Liang · 1×
Citations per year, relative to Feng Liang
Feng Liang · 1×

Countries citing papers authored by Feng Liang

Since Specialization
Citations

This map shows the geographic impact of Feng Liang'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 Feng Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Liang more than expected).

Fields of papers citing papers by Feng Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng Liang. 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 Feng Liang. The network helps show where Feng Liang may publish in the future.

Co-authorship network of co-authors of Feng Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Liang. A scholar is included among the top collaborators of Feng Liang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Liang. Feng Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 2
3 0
4 0
5 1
6 0
7 0
8 1
9 5
10 2
11 5
12 1
13 14
14 58
15 11
16 1
17 54
18
Relating Medical Errors to Medical Specialties: A Mixed Analysis Based on Litigation Documents and Qualitative Data
3
19
Long-term fertilization altered labile soil organic carbon fractions in upland soils of China.
2
20 28

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.

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