Pengbo Cao

46 total papers · 1.7k total citations
25 papers, 784 citations indexed

About

Pengbo Cao is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Pengbo Cao has authored 25 papers receiving a total of 784 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cancer Research and 8 papers in Oncology. Recurrent topics in Pengbo Cao's work include RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer-related Molecular Pathways (4 papers). Pengbo Cao is often cited by papers focused on RNA modifications and cancer (10 papers), Cancer-related molecular mechanisms research (5 papers) and Cancer-related Molecular Pathways (4 papers). Pengbo Cao collaborates with scholars based in China, United States and South Korea. Pengbo Cao's co-authors include Gangqiao Zhou, Yuanfeng Li, Aiqing Yang, Chengming Gao, Haoyun Zhang, Yingwei Pan, Yiming Lu, Xueting Wang, Hao Lu and Cheng Quan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Pengbo Cao

24 papers receiving 780 citations

Hit Papers

A single-cell atlas of th... 2022 2026 2023 2024 2022 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Pengbo Cao 475 294 274 216 137 25 784
Haiyuan Shen 405 0.9× 214 0.7× 286 1.0× 229 1.1× 86 0.6× 21 762
Matteo Pallocca 557 1.2× 274 0.9× 146 0.5× 202 0.9× 85 0.6× 36 844
Lehang Lin 621 1.3× 373 1.3× 156 0.6× 164 0.8× 127 0.9× 18 844
Haihua Qian 499 1.1× 311 1.1× 139 0.5× 260 1.2× 99 0.7× 29 820
Chunyang Xing 552 1.2× 363 1.2× 155 0.6× 179 0.8× 63 0.5× 28 803
Guoyong Han 536 1.1× 366 1.2× 165 0.6× 141 0.7× 75 0.5× 31 799
Jacinth Wing‐Sum Cheu 376 0.8× 284 1.0× 230 0.8× 290 1.3× 217 1.6× 14 804
Wenli Diao 337 0.7× 201 0.7× 208 0.8× 140 0.6× 63 0.5× 29 641
Wansong Lin 382 0.8× 233 0.8× 163 0.6× 207 1.0× 44 0.3× 35 646
Kit Man Wong 367 0.8× 151 0.5× 162 0.6× 231 1.1× 99 0.7× 32 787

Countries citing papers authored by Pengbo Cao

Since Specialization
Citations

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

Fields of papers citing papers by Pengbo Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengbo Cao

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