Lankai Guo

20 total papers · 453 total citations
12 papers, 320 citations indexed

About

Lankai Guo is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Lankai Guo has authored 12 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Lankai Guo's work include Reproductive Biology and Fertility (3 papers), Cancer-related Molecular Pathways (3 papers) and Uterine Myomas and Treatments (2 papers). Lankai Guo is often cited by papers focused on Reproductive Biology and Fertility (3 papers), Cancer-related Molecular Pathways (3 papers) and Uterine Myomas and Treatments (2 papers). Lankai Guo collaborates with scholars based in United States and China. Lankai Guo's co-authors include Bo R. Rueda, Ming‐Che Shih, Jonathan L. Tilly, Erica M. Fallon, Scott J. Rodig, Yvonne A.R. White, Mark Puder, Amy Pan, Sarah J. Carlson and Deepika Nehra and has published in prestigious journals such as Endocrinology, Phytochemistry and Fertility and Sterility.

In The Last Decade

Lankai Guo

12 papers receiving 312 citations

Author Peers

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

Author Last Decade Papers Cites
Lankai Guo 180 58 56 52 46 12 320
Oli Sarkar 136 0.8× 41 0.7× 53 0.9× 90 1.7× 13 0.3× 11 321
Li Zhou 203 1.1× 57 1.0× 38 0.7× 29 0.6× 15 0.3× 24 318
Ayhan Kocer 140 0.8× 62 1.1× 33 0.6× 103 2.0× 45 1.0× 19 356
L. Johnson 144 0.8× 64 1.1× 49 0.9× 75 1.4× 20 0.4× 13 328
Guogang Xu 177 1.0× 40 0.7× 29 0.5× 40 0.8× 12 0.3× 15 295
Shanyun Wu 121 0.7× 24 0.4× 48 0.9× 81 1.6× 18 0.4× 14 357
Lionel Mery 153 0.8× 46 0.8× 25 0.4× 32 0.6× 27 0.6× 10 282
Songna Yin 108 0.6× 69 1.2× 18 0.3× 48 0.9× 7 0.2× 10 333
Tatiane Yumi Nakamura Kanno 216 1.2× 49 0.8× 21 0.4× 11 0.2× 33 0.7× 12 330
Juan Zeng 146 0.8× 141 2.4× 25 0.4× 66 1.3× 13 0.3× 10 328

Countries citing papers authored by Lankai Guo

Since Specialization
Citations

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

Fields of papers citing papers by Lankai Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lankai Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Lankai Guo. A scholar is included among the top collaborators of Lankai 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 Lankai Guo. Lankai 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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