Qin Ga
Impact in
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- Neuroscience of respiration and sleep
- Genetics top 2%
- High Altitude and Hypoxia
- Genetic diversity and population structure
Papers in
- Genetics 31
- High Altitude and Hypoxia 31
- Genetics and Physical Performance 3
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- Neuroscience of respiration and sleep 12
- Co-authors
- Tatum S. Simonson (10 shared papers)Yingzhong Yang (15 shared papers)Ri-Li Ge (7 shared papers)Zhenzhong Bai (7 shared papers)David J. Witherspoon (4 shared papers)Chad D. Huff (4 shared papers)Jinchuan Xing (4 shared papers)Lynn B. Jorde (4 shared papers)
- Journals
- Gene (3 papers)The FASEB Journal (2 papers)Biochemical and Biophysical Research Communications (2 papers)Obesity Facts (1 paper)Information Systems Frontiers (1 paper)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Qin Ga
34 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrine and Autonomic Systems 258
- Genetics 1.1k
- Cancer Research 303
- Physiology 345
- Molecular Biology 402
Countries citing papers authored by Qin Ga
This map shows the geographic impact of Qin Ga'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 Qin Ga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Ga more than expected).
Fields of papers citing papers by Qin Ga
This network shows the impact of papers produced by Qin Ga. 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 Qin Ga. The network helps show where Qin Ga may publish in the future.
Co-authors
The 25 scholars most cited alongside Qin Ga, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genetic Evidence for High-Altitude Adaptation in Tibet Hit paper breakdown → | 2010 | 862 |
| 2 | 2012 | 70 | |
| 3 | 2019 | 65 | |
| 4 | 2015 | 50 | |
| 5 | 2013 | 43 | |
| 6 | 2014 | 41 | |
| 7 | 2020 | 28 | |
| 8 | 2014 | 28 | |
| 9 | 2019 | 25 | |
| 10 | 2014 | 23 | |
| 11 | 2015 | 22 | |
| 12 | 2015 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2013 | 14 | |
| 15 | 2015 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2020 | 11 | |
| 18 | 2018 | 11 | |
| 19 | 2013 | 11 | |
| 20 | 2012 | 9 |
About Qin Ga
Qin Ga is a scholar working on Genetics, Endocrine and Autonomic Systems, Physiology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.4k indexed citations. Recurring topics across this work include High Altitude and Hypoxia (31 papers), Neuroscience of respiration and sleep (12 papers), Adipose Tissue and Metabolism (7 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Climate Change and Health Impacts (4 papers) and Genetics and Physical Performance (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (258 citations), Genetics (1.1k citations), Cancer Research (303 citations), Physiology (345 citations) and Molecular Biology (402 citations). Qin Ga has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Tatum S. Simonson, Yingzhong Yang, Ri-Li Ge, Zhenzhong Bai, David J. Witherspoon, Chad D. Huff, Jinchuan Xing, Lynn B. Jorde, Josef T. Prchal and Felipe Lorenzo. Their work appears in journals such as Gene, The FASEB Journal, Biochemical and Biophysical Research Communications, Obesity Facts and Information Systems Frontiers.
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.