Hai-Ying Qi
- Molecular Biology
- Nephrology top 5%
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Clinical Biochemistry top 10%
- Co-authors
- Shaolin ShiErwin P. BöttingerLiping YuDetlef SchlöndorffIlse S. DaehnVivette D. D’AgatiKerstin EbeforsBörje Haraldsson
- Topics
- High Altitude and Hypoxia (4 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers)Pulmonary Hypertension Research and Treatments (3 papers)
- Journals
- The LancetPLoS ONEDiabetes
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Hai-Ying Qi
12 papers receiving 399 citations
Peers
Comparison fields: 5 of 65
- Molecular Biology 168
- Nephrology 157
- Epidemiology 54
- Endocrinology, Diabetes and Metabolism 53
- Clinical Biochemistry 51
Countries citing papers authored by Hai-Ying Qi
This map shows the geographic impact of Hai-Ying Qi'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 Hai-Ying Qi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai-Ying Qi more than expected).
Fields of papers citing papers by Hai-Ying Qi
This network shows the impact of papers produced by Hai-Ying Qi. 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 Hai-Ying Qi. The network helps show where Hai-Ying Qi may publish in the future.
Co-authorship network of co-authors of Hai-Ying Qi
This figure shows the co-authorship network connecting the top 25 collaborators of Hai-Ying Qi. A scholar is included among the top collaborators of Hai-Ying Qi 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 Hai-Ying Qi. Hai-Ying Qi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 188 | |
| 6 | [Comparison of echocardiographic parameters in healthy Chinese children born and living at high altitude or at sea-level]. | 2 |
| 7 | 5 | |
| 8 | 69 | |
| 9 | 47 | |
| 10 | [Cross-sectional study of the relation between carboxypeptidase-H antibody and islet beta cell function in patients with latent autoimmune diabetes in adults]. | 1 |
| 11 | [Comparitive [Comparative] study of the indexes of pulmonary arterial pressure of healthy children at different altitudes by Doppler echocardiography]. | 3 |
| 12 | [Replacement of insulin by fasting C-peptide in modified homeostasis model assessment to evaluate insulin resistance and islet beta cell function]. | 62 |
About Hai-Ying Qi
Hai-Ying Qi is a scholar working on Nephrology, Endocrine and Autonomic Systems and Genetics, having authored 12 papers that have together received 403 indexed citations. Recurring topics across this work include High Altitude and Hypoxia (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (3 papers) and Pulmonary Hypertension Research and Treatments (3 papers). The work is most often cited by research in Nephrology (157 citations), Clinical Biochemistry (51 citations) and Endocrinology, Diabetes and Metabolism (53 citations). Hai-Ying Qi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Shaolin Shi, Erwin P. Böttinger, Liping Yu, Detlef Schlöndorff, Ilse S. Daehn, Vivette D. D’Agati, Kerstin Ebefors, Börje Haraldsson, Yezhou Sun and Weijia Zhang. Their work appears in journals such as The Lancet, PLoS ONE and Diabetes.
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.