Hailing Zhang
- Co-authors
- Xiaoyuan WangFredric M. MengerLianghong YinPeter J. QuinnGuilan ZhuXiaotian ChenChenhui WangJianli Wang
- Topics
- Microbial Metabolic Engineering and Bioproduction (14 papers)Virus-based gene therapy research (10 papers)Enzyme Catalysis and Immobilization (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hailing Zhang
80 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Molecular Biology 861
- Plant Science 156
- Biomedical Engineering 147
- Genetics 130
- Organic Chemistry 123
Countries citing papers authored by Hailing Zhang
This map shows the geographic impact of Hailing Zhang'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 Hailing Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Zhang more than expected).
Fields of papers citing papers by Hailing Zhang
This network shows the impact of papers produced by Hailing Zhang. 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 Hailing Zhang. The network helps show where Hailing Zhang may publish in the future.
Co-authorship network of co-authors of Hailing Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Hailing Zhang. A scholar is included among the top collaborators of Hailing Zhang 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 Hailing Zhang. Hailing Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 11 | |
| 4 | 17 | |
| 5 | 31 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 50 | |
| 12 | 27 | |
| 13 | 38 | |
| 14 | 28 | |
| 15 | 0 | |
| 16 | Methodology Study on Measurement of Alfalfa Pollen Vitality | 1 |
| 17 | Cloning and Sequence Analysis of Complete Genome of Mink Enteritis Virus B Strain | 3 |
| 18 | Expression of VP2 gene of canine parvovirus virus and development of a recombinant protein-based indirect ELISA for antibodies detection. | 1 |
| 19 | Prokaryotic expression of mink enteritis virus VP2 gene and establishment of indirect ELISA | 2 |
| 20 | 37 |
About Hailing Zhang
Hailing Zhang is a scholar working on Biotechnology, Biochemistry and Molecular Biology, having authored 83 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (14 papers), Virus-based gene therapy research (10 papers) and Enzyme Catalysis and Immobilization (7 papers). The work is most often cited by research in Molecular Biology (861 citations), Biochemistry (68 citations) and Biotechnology (59 citations). Hailing Zhang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaoyuan Wang, Fredric M. Menger, Lianghong Yin, Peter J. Quinn, Guilan Zhu, Xiaotian Chen, Chenhui Wang, Jianli Wang, Norton H. Neff and Wenjuan Chen. Their work appears in journals such as Journal of the American Chemical Society, PLoS ONE and Applied and Environmental Microbiology.
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.