Panpan Song

78 total papers · 1.4k total citations
60 papers, 978 citations indexed

About

Panpan Song is a scholar working on Biomedical Engineering, Molecular Biology and Materials Chemistry. According to data from OpenAlex, Panpan Song has authored 60 papers receiving a total of 978 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Biomedical Engineering, 18 papers in Molecular Biology and 11 papers in Materials Chemistry. Recurrent topics in Panpan Song's work include Nanoplatforms for cancer theranostics (15 papers), Immune cells in cancer (8 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Panpan Song is often cited by papers focused on Nanoplatforms for cancer theranostics (15 papers), Immune cells in cancer (8 papers) and Electrospun Nanofibers in Biomedical Applications (4 papers). Panpan Song collaborates with scholars based in China, United States and Pakistan. Panpan Song's co-authors include Haiyuan Zhang, Runxiao Zheng, Xiaqing Wu, Jiao Yan, Yan Cheng, Guoxiu Wang, Keqiang Xu, Yanjing Wang, Xiaoyun Qian and Yanlin Feng and has published in prestigious journals such as Advanced Materials, ACS Nano and Analytical Biochemistry.

In The Last Decade

Panpan Song

55 papers receiving 972 citations

Author Peers

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

Author						Papers	Cites
Panpan Song	386	296	277	176	106	60	978
Hao Yan	549 1.4×	235 0.8×	292 1.1×	219 1.2×	62 0.6×	78	1.1k
Cheng Ma	479 1.2×	154 0.5×	318 1.1×	106 0.6×	103 1.0×	70	1.2k
Xu Wang	494 1.3×	179 0.6×	347 1.3×	129 0.7×	72 0.7×	39	985
Nicola Ingram	431 1.1×	176 0.6×	237 0.9×	163 0.9×	33 0.3×	50	909
Meysam Ahmadi‐Zeidabadi	242 0.6×	273 0.9×	253 0.9×	168 1.0×	82 0.8×	43	1.1k
Anwei Zhou	424 1.1×	119 0.4×	324 1.2×	154 0.9×	62 0.6×	40	823
Yuzhou Li	388 1.0×	152 0.5×	206 0.7×	147 0.8×	42 0.4×	52	931
Feng Yuan	180 0.5×	141 0.5×	272 1.0×	237 1.3×	89 0.8×	38	874
Hongsheng Yu	498 1.3×	383 1.3×	185 0.7×	194 1.1×	35 0.3×	31	1.2k
Ming Guan	368 1.0×	304 1.0×	256 0.9×	109 0.6×	36 0.3×	52	1.0k

Countries citing papers authored by Panpan Song

Since Specialization

Citations

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

Fields of papers citing papers by Panpan Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Panpan Song

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