Ting Guo

87 total papers · 2.2k total citations
64 papers, 1.2k citations indexed

About

Ting Guo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Ting Guo has authored 64 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 23 papers in Public Health, Environmental and Occupational Health and 20 papers in Genetics. Recurrent topics in Ting Guo's work include Reproductive Biology and Fertility (23 papers), DNA Repair Mechanisms (12 papers) and Ovarian function and disorders (7 papers). Ting Guo is often cited by papers focused on Reproductive Biology and Fertility (23 papers), DNA Repair Mechanisms (12 papers) and Ovarian function and disorders (7 papers). Ting Guo collaborates with scholars based in China, France and United States. Ting Guo's co-authors include Yingying Qin, Shidou Zhao, Zi‐Jiang Chen, Guangyu Li, Hanni Ke, Xue Jiao, Bin Cui, Wei Luo, Fei Gao and Guang Ning and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Ting Guo

61 papers receiving 1.2k citations

Hit Papers

Landscape of pathogenic m... 2023 2026 2024 2023 25 50 75

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ting Guo 458 360 300 245 127 64 1.2k
Xiaoming Teng 395 0.9× 341 0.9× 153 0.5× 391 1.6× 102 0.8× 63 967
Shen Yin 694 1.5× 555 1.5× 151 0.5× 284 1.2× 48 0.4× 65 1.4k
Veronica Bianchi 385 0.8× 416 1.2× 208 0.7× 366 1.5× 25 0.2× 46 1.2k
Xiangjin Kang 620 1.4× 234 0.7× 119 0.4× 232 0.9× 71 0.6× 38 1.1k
P. Jorge Chedrese 258 0.6× 276 0.8× 261 0.9× 261 1.1× 71 0.6× 41 1.2k
G. Siracusa 420 0.9× 586 1.6× 192 0.6× 358 1.5× 34 0.3× 54 1.3k
Hoon Jang 367 0.8× 229 0.6× 73 0.2× 180 0.7× 70 0.6× 70 1.1k
Kazuo Satoh 243 0.5× 257 0.7× 157 0.5× 203 0.8× 281 2.2× 67 1.2k
Yuanyuan Li 288 0.6× 289 0.8× 129 0.4× 151 0.6× 44 0.3× 79 1.3k
Di Wu 850 1.9× 191 0.5× 128 0.4× 109 0.4× 81 0.6× 71 1.4k

Countries citing papers authored by Ting Guo

Since Specialization
Citations

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

Fields of papers citing papers by Ting Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Guo

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

All Works

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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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