Baishen Pan

65 total papers · 792 total citations
38 papers, 587 citations indexed

About

Baishen Pan is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Baishen Pan has authored 38 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Oncology and 7 papers in Epidemiology. Recurrent topics in Baishen Pan's work include Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Baishen Pan is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Baishen Pan collaborates with scholars based in China, United States and Switzerland. Baishen Pan's co-authors include Beili Wang, Wei Guo, Alessandro Guidotti, David R. Rubinow, Mark S. George, Robert M. Post, Husseini K. Manji, Guang Chen, David B. Hawver and Clinton B. Wright and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Baishen Pan

33 papers receiving 574 citations

Author Peers

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

Author						Papers	Cites
Baishen Pan	144	142	94	91	79	38	587
Lun Cai	160 1.1×	198 1.4×	21 0.2×	82 0.9×	57 0.7×	31	649
Anindya Dasgupta	73 0.5×	160 1.1×	60 0.6×	39 0.4×	26 0.3×	53	645
N. Colas-Linhart	130 0.9×	65 0.5×	89 0.9×	83 0.9×	23 0.3×	45	652
Scott Cosmi	97 0.7×	167 1.2×	84 0.9×	103 1.1×	104 1.3×	23	579
Rebekka Pohl	250 1.7×	211 1.5×	35 0.4×	42 0.5×	77 1.0×	34	566
Guohua Deng	147 1.0×	143 1.0×	19 0.2×	81 0.9×	49 0.6×	29	678
Dan Yang	140 1.0×	127 0.9×	42 0.4×	98 1.1×	45 0.6×	47	590
Stefania Mai	69 0.5×	195 1.4×	106 1.1×	101 1.1×	46 0.6×	38	636
Baoyun Liang	75 0.5×	153 1.1×	92 1.0×	25 0.3×	83 1.1×	32	657
Judy Sng	77 0.5×	306 2.2×	35 0.4×	85 0.9×	49 0.6×	39	684

Countries citing papers authored by Baishen Pan

Since Specialization

Citations

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

Fields of papers citing papers by Baishen Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baishen Pan

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