Qin Ga

2.0k total citations · 1 hit paper
34 papers, 1.4k citations indexed

About

Qin Ga is a scholar working on Genetics, Endocrine and Autonomic Systems and Physiology. According to data from OpenAlex, Qin Ga has authored 34 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 12 papers in Endocrine and Autonomic Systems and 12 papers in Physiology. Recurrent topics in Qin Ga's work include High Altitude and Hypoxia (31 papers), Neuroscience of respiration and sleep (12 papers) and Adipose Tissue and Metabolism (7 papers). Qin Ga is often cited by papers focused on High Altitude and Hypoxia (31 papers), Neuroscience of respiration and sleep (12 papers) and Adipose Tissue and Metabolism (7 papers). Qin Ga collaborates with scholars based in China, United States and Brazil. Qin Ga's co-authors include Tatum S. Simonson, Yingzhong Yang, Zhenzhong Bai, Ri-Li Ge, Lynn B. Jorde, Jinchuan Xing, David J. Witherspoon, Chad D. Huff, Josef T. Prchal and Haixia Yun and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Qin Ga

34 papers receiving 1.4k citations

Hit Papers

Genetic Evidence for High-Altitude Adaptation in Tibet 2010 2026 2015 2020 2010 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qin Ga China 14 1.1k 402 345 303 258 34 1.4k
Yingzhong Yang China 15 980 0.9× 408 1.0× 277 0.8× 304 1.0× 235 0.9× 45 1.4k
Zhenzhong Bai China 16 888 0.8× 441 1.1× 328 1.0× 289 1.0× 221 0.9× 34 1.4k
Ri-Li Ge United States 15 1.5k 1.4× 531 1.3× 398 1.2× 384 1.3× 459 1.8× 21 1.9k
Haixia Yun China 6 735 0.7× 260 0.6× 201 0.6× 195 0.6× 177 0.7× 8 937
Ri‐Li Ge China 19 488 0.5× 428 1.1× 179 0.5× 197 0.7× 146 0.6× 76 1.1k
Sarah Williams‐Blangero United States 16 558 0.5× 251 0.6× 189 0.5× 90 0.3× 276 1.1× 53 1.0k
Isabel A. Forsyth United Kingdom 25 692 0.7× 509 1.3× 140 0.4× 97 0.3× 112 0.4× 45 2.0k
Callum J. Bell United States 24 1.0k 0.9× 2.7k 6.8× 323 0.9× 125 0.4× 132 0.5× 38 4.5k
Susanna Wang United States 11 883 0.8× 889 2.2× 198 0.6× 104 0.3× 32 0.1× 15 1.8k
Sam Clark Australia 28 1.5k 1.4× 449 1.1× 186 0.5× 173 0.6× 41 0.2× 79 2.5k

Countries citing papers authored by Qin Ga

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Qin Ga

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Ga. A scholar is included among the top collaborators of Qin Ga 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 Qin Ga. Qin Ga 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
1.
Chai, Shatuo, et al.. (2024). Modification of Intestinal Flora Can Improve Host Metabolism and Alleviate the Damage Caused by Chronic Hypoxia. Current Issues in Molecular Biology. 46(11). 12733–12745. 2 indexed citations
2.
Xu, Jin, Qiang Ma, Feng Tang, et al.. (2022). Association Between the Polymorphism of Steroid Hormone Metabolism Genes and High-Altitude Pulmonary Edema in the Chinese Han Population. SHILAP Revista de lepidopterología. 2 indexed citations
3.
Cai, Chunmei, et al.. (2022). Comparative genomic analysis of high-altitude adaptation for Mongolia Mastiff, Tibetan Mastiff, and Canis Lupus. Genomics. 114(3). 110359–110359. 2 indexed citations
4.
Ma, Yan, et al.. (2021). Correlations Between Intestinal Microbial Community and Hematological Profile in Native Tibetans and Han Immigrants. Frontiers in Microbiology. 12. 615416–615416. 11 indexed citations
7.
Ma, Yan, Shuang Ma, Lan Chang, et al.. (2019). Gut microbiota adaptation to high altitude in indigenous animals. Biochemical and Biophysical Research Communications. 516(1). 120–126. 65 indexed citations
8.
Yang, Yingzhong, Hui Du, Yuhong Li, et al.. (2019). NR3C1 gene polymorphisms are associated with high-altitude pulmonary edema in Han Chinese. Journal of PHYSIOLOGICAL ANTHROPOLOGY. 38(1). 4–4. 20 indexed citations
9.
Xu, Jin, Yingzhong Yang, Feng Tang, et al.. (2015). EPAS1 Gene Polymorphisms Are Associated With High Altitude Polycythemia in Tibetans at the Qinghai-Tibetan Plateau. Wilderness and Environmental Medicine. 26(3). 288–294. 21 indexed citations
10.
Xu, Jin, Qin Ga, Tana Wuren, et al.. (2015). CYP17A1 and CYP2E1 variants associated with high altitude polycythemia in Tibetans at the Qinghai-Tibetan Plateau. Gene. 566(2). 257–263. 22 indexed citations
11.
Wagner, Peter D., Tatum S. Simonson, Wei Guan, et al.. (2015). Sea‐level haemoglobin concentration is associated with greater exercise capacity in Tibetan males at 4200 m. Experimental Physiology. 100(11). 1256–1262. 12 indexed citations
12.
Ma, Lan, et al.. (2015). Vascular Endothelial Growth Factor as a Prognostic Parameter in Subjects with “Plateau Red Face”. High Altitude Medicine & Biology. 16(2). 147–153. 5 indexed citations
13.
Tang, Feng, Qin Ga, Tana Wuren, et al.. (2015). High fat diet exacerbates vascular endothelial dysfunction in rats exposed to continuous hypobaric hypoxia. Biochemical and Biophysical Research Communications. 457(3). 485–491. 5 indexed citations
14.
Simonson, Tatum S., Wei Guan, Harrieth Wagner, et al.. (2014). Increased blood‐oxygen binding affinity in Tibetan and Han Chinese residents at 4200 m. Experimental Physiology. 99(12). 1624–1635. 23 indexed citations
15.
Yang, Yingzhong, Lan Ma, Wei Guan, et al.. (2014). Differential plasma proteome analysis in patients with high-altitude pulmonary edema at the acute and recovery phases. Experimental and Therapeutic Medicine. 7(5). 1160–1166. 7 indexed citations
16.
Guan, Wei, Qin Ga, Rong Li, et al.. (2014). Sleep disturbances in long-term immigrants with chronic mountain sickness: A comparison with healthy immigrants at high altitude. Respiratory Physiology & Neurobiology. 206. 4–10. 28 indexed citations
17.
Ma, Lan, Xiujuan Shao, Yaping Wang, et al.. (2013). Molecular cloning, characterization and expression of myoglobin in Tibetan antelope (Pantholops hodgsonii), a species with hypoxic tolerance. Gene. 533(2). 532–537. 11 indexed citations
18.
Bai, Zhenzhong, et al.. (2012). [Energy power in mountains: difference in metabolism pattern results in different adaption traits in Tibetans].. PubMed. 28(6). 488–93. 1 indexed citations
19.
Ge, Ri-Li, Tatum S. Simonson, Robert C. Cooksey, et al.. (2012). Metabolic insight into mechanisms of high-altitude adaptation in Tibetans. Molecular Genetics and Metabolism. 106(2). 244–247. 70 indexed citations
20.
Simonson, Tatum S., Yingzhong Yang, Chad D. Huff, et al.. (2010). Genetic Evidence for High-Altitude Adaptation in Tibet. Science. 329(5987). 72–75. 862 indexed citations breakdown →

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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