Peiling Cai

46 total papers · 691 total citations
35 papers, 445 citations indexed

About

Peiling Cai is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Peiling Cai has authored 35 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 12 papers in Molecular Biology and 9 papers in Cancer Research. Recurrent topics in Peiling Cai's work include Cancer Genomics and Diagnostics (8 papers), Colorectal Cancer Treatments and Studies (6 papers) and COVID-19 and Mental Health (3 papers). Peiling Cai is often cited by papers focused on Cancer Genomics and Diagnostics (8 papers), Colorectal Cancer Treatments and Studies (6 papers) and COVID-19 and Mental Health (3 papers). Peiling Cai collaborates with scholars based in China, Australia and United States. Peiling Cai's co-authors include Yang Zhang, Hao Lin, Kejun Deng, Ting Wang, Ting Zhang, Liping Ren, Xiaolong Yu, Huang Cheng-bing, Hui Ding and Zheng Shi and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Peiling Cai

31 papers receiving 438 citations

Hit Papers

Accurately identifying he... 2023 2026 2024 2023 2024 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
Peiling Cai 254 66 63 38 36 35 445
Ahmad Perwez 184 0.7× 40 0.6× 70 1.1× 25 0.7× 28 0.8× 23 457
Bárbara Costa 155 0.6× 40 0.6× 70 1.1× 37 1.0× 45 1.3× 26 396
Zeng Wang 159 0.6× 63 1.0× 100 1.6× 22 0.6× 32 0.9× 31 427
Jianxin Cheng 257 1.0× 101 1.5× 70 1.1× 25 0.7× 13 0.4× 37 414
Xiaolong Tang 206 0.8× 24 0.4× 44 0.7× 12 0.3× 22 0.6× 30 433
Sheng Dai 217 0.9× 23 0.3× 50 0.8× 18 0.5× 16 0.4× 41 441
Nefertiti El-Nikhely 230 0.9× 72 1.1× 125 2.0× 10 0.3× 27 0.8× 32 479
Maysam Mard‐Soltani 174 0.7× 59 0.9× 106 1.7× 10 0.3× 16 0.4× 30 380
Mohsen Karami Fath 331 1.3× 157 2.4× 101 1.6× 10 0.3× 32 0.9× 28 486
Babak Khorsand 229 0.9× 31 0.5× 31 0.5× 46 1.2× 112 3.1× 27 404

Countries citing papers authored by Peiling Cai

Since Specialization
Citations

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

Fields of papers citing papers by Peiling Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peiling Cai

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