Chi Gao

2.5k total citations
6 papers, 125 citations indexed

About

Chi Gao is a scholar working on Genetics, Oncology and Plant Science. According to data from OpenAlex, Chi Gao has authored 6 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 3 papers in Oncology and 2 papers in Plant Science. Recurrent topics in Chi Gao's work include BRCA gene mutations in cancer (3 papers), Global Cancer Incidence and Screening (2 papers) and Cancer Risks and Factors (2 papers). Chi Gao is often cited by papers focused on BRCA gene mutations in cancer (3 papers), Global Cancer Incidence and Screening (2 papers) and Cancer Risks and Factors (2 papers). Chi Gao collaborates with scholars based in United States, Sweden and China. Chi Gao's co-authors include Peter Kraft, Baobao Wang, Jinjie Guo, Weibin Song, Jinsheng Lai, Jing Chen, Zhipeng Liu, Yanbin Zhu, Wei Li and Xiaomei Dong and has published in prestigious journals such as Journal of Clinical Oncology, American Journal of Clinical Nutrition and International Journal of Epidemiology.

In The Last Decade

Chi Gao

6 papers receiving 124 citations

Peers

Chi Gao
Chi Gao
Citations per year, relative to Chi Gao Chi Gao (= 1×) peers Julia Köster

Countries citing papers authored by Chi Gao

Since Specialization
Citations

This map shows the geographic impact of Chi Gao'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 Chi Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Gao more than expected).

Fields of papers citing papers by Chi Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi Gao. 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 Chi Gao. The network helps show where Chi Gao may publish in the future.

Co-authorship network of co-authors of Chi Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Chi Gao. A scholar is included among the top collaborators of Chi Gao 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 Chi Gao. Chi Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Hurson, Amber N., Parichoy Pal Choudhury, Chi Gao, et al.. (2021). Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries. International Journal of Epidemiology. 50(6). 1897–1911. 43 indexed citations
2.
Jee, Yon Ho, Chi Gao, Jihye Kim, et al.. (2020). Validating Breast Cancer Risk Prediction Models in the Korean Cancer Prevention Study-II Biobank. Cancer Epidemiology Biomarkers & Prevention. 29(6). 1271–1277. 6 indexed citations
3.
Peng, Cheng, Chi Gao, Donghao Lu, et al.. (2020). Circulating carotenoids and breast cancer among high-risk individuals. American Journal of Clinical Nutrition. 113(3). 525–533. 15 indexed citations
4.
Palmer, Julie R., Chunling Hu, Steven N. Hart, et al.. (2019). Genetic predisposition to breast cancer among African American women.. Journal of Clinical Oncology. 37(15_suppl). 104–104. 2 indexed citations
5.
Wang, Baobao, Yanbin Zhu, Jinjie Zhu, et al.. (2018). Identification and Fine-Mapping of a Major Maize Leaf Width QTL in a Re-sequenced Large Recombinant Inbred Lines Population. Frontiers in Plant Science. 9. 101–101. 23 indexed citations
6.

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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