Hua Ling
- Epidemiology top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Infectious Diseases top 10%
- Genetics
- Co-authors
- Electron KebebewStephen J. MarxSunita AgarwalWilliam F. SimondsJames WelchBin GuanBraxton D. MitchellJennifer J. Johnston
- Topics
- Viral Infections and Immunology Research (8 papers)Influenza Virus Research Studies (4 papers)Cystic Fibrosis Research Advances (4 papers)
- Journals
- PLoS ONEThe Journal of Clinical Endocrinology & MetabolismThe American Journal of Human Genetics
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Hua Ling
27 papers receiving 773 citations
Peers
Comparison fields: 5 of 117
- Epidemiology 267
- Cardiology and Cardiovascular Medicine 181
- Molecular Biology 159
- Infectious Diseases 150
- Genetics 134
Countries citing papers authored by Hua Ling
This map shows the geographic impact of Hua Ling'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 Hua Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Ling more than expected).
Fields of papers citing papers by Hua Ling
This network shows the impact of papers produced by Hua Ling. 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 Hua Ling. The network helps show where Hua Ling may publish in the future.
Co-authorship network of co-authors of Hua Ling
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Ling. A scholar is included among the top collaborators of Hua Ling 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 Hua Ling. Hua Ling 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 | 1 | |
| 3 | 17 | |
| 4 | 4 | |
| 5 | 26 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 22 | |
| 9 | 31 | |
| 10 | 97 | |
| 11 | 119 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 6 | |
| 15 | 87 | |
| 16 | 62 | |
| 17 | 21 | |
| 18 | 127 | |
| 19 | 16 | |
| 20 | Identification of enterovirus type 71 by RT--PCR and the gene characterization | 3 |
About Hua Ling
Hua Ling is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine and Infectious Diseases, having authored 29 papers that have together received 786 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (8 papers), Influenza Virus Research Studies (4 papers) and Cystic Fibrosis Research Advances (4 papers). The work is most often cited by research in Nephrology (97 citations), Agronomy and Crop Science (85 citations) and Infectious Diseases (150 citations). Hua Ling has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Electron Kebebew, Stephen J. Marx, Sunita Agarwal, William F. Simonds, James Welch, Bin Guan, Braxton D. Mitchell, Jennifer J. Johnston, Thomas P. Bersot and Dawn Waterworth. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and The American Journal of Human Genetics.
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.