Pan Gao

83 total papers · 1.7k total citations
59 papers, 1.2k citations indexed

About

Pan Gao is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Pan Gao has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 18 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Pan Gao's work include Pancreatic and Hepatic Oncology Research (16 papers), Gallbladder and Bile Duct Disorders (10 papers) and Gastric Cancer Management and Outcomes (6 papers). Pan Gao is often cited by papers focused on Pancreatic and Hepatic Oncology Research (16 papers), Gallbladder and Bile Duct Disorders (10 papers) and Gastric Cancer Management and Outcomes (6 papers). Pan Gao collaborates with scholars based in China, United Kingdom and United States. Pan Gao's co-authors include Chun Zhang, Hua Su, Xianfang Meng, Fang-Fang He, Shan Chen, Xiujuan Tian, Weihao Zhang, Wenfeng Yang, Bing Peng and Huijun Ding and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Pan Gao

53 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Pan Gao 375 355 207 200 176 59 1.2k
Hailong Hu 429 1.1× 197 0.6× 153 0.7× 125 0.6× 65 0.4× 82 1.3k
Maria Carla Proverbio 359 1.0× 53 0.1× 367 1.8× 97 0.5× 120 0.7× 33 1.4k
Yan Jiang 361 1.0× 72 0.2× 169 0.8× 83 0.4× 84 0.5× 120 1.3k
Shaopeng Liu 243 0.6× 230 0.6× 140 0.7× 124 0.6× 17 0.1× 38 937
Dina C. Simes 320 0.9× 314 0.9× 159 0.8× 22 0.1× 50 0.3× 54 1.4k
Guobao Wang 259 0.7× 518 1.5× 93 0.4× 20 0.1× 38 0.2× 57 1.2k
Teresa S. Kasamatsu 217 0.6× 38 0.1× 164 0.8× 45 0.2× 77 0.4× 51 1.3k
Ren Liu 586 1.6× 24 0.1× 87 0.4× 152 0.8× 236 1.3× 66 1.3k
Yue Zhu 383 1.0× 54 0.2× 361 1.7× 37 0.2× 271 1.5× 57 1.2k
Roberto Barrios 435 1.2× 100 0.3× 125 0.6× 65 0.3× 153 0.9× 38 1.3k

Countries citing papers authored by Pan Gao

Since Specialization
Citations

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

Fields of papers citing papers by Pan Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Gao

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