Haiping Song

49 total papers · 1.0k total citations
39 papers, 756 citations indexed

About

Haiping Song is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Haiping Song has authored 39 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Organic Chemistry. Recurrent topics in Haiping Song's work include Click Chemistry and Applications (5 papers), RNA and protein synthesis mechanisms (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Haiping Song is often cited by papers focused on Click Chemistry and Applications (5 papers), RNA and protein synthesis mechanisms (4 papers) and Thyroid Cancer Diagnosis and Treatment (4 papers). Haiping Song collaborates with scholars based in China, United States and Taiwan. Haiping Song's co-authors include Peng R. Chen, Yi Yang, Dan He, Shuai Zhang, Xiao Xie, Wenliang Li, Michael Ittmann, Dayong Zheng, Mohit Hulsurkar and Shixian Lin and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

In The Last Decade

Haiping Song

38 papers receiving 738 citations

Author Peers

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

Author						Papers	Cites
Haiping Song	471	139	113	112	109	39	756
Petri I. Mäkinen	513 1.1×	95 0.7×	150 1.3×	28 0.3×	63 0.6×	33	907
Shuwei Chen	421 0.9×	109 0.8×	215 1.9×	66 0.6×	198 1.8×	51	862
Katsuyoshi Hori	461 1.0×	87 0.6×	271 2.4×	63 0.6×	182 1.7×	42	872
Di Cui	395 0.8×	123 0.9×	96 0.8×	34 0.3×	87 0.8×	42	782
Mathew Robson	447 0.9×	58 0.4×	92 0.8×	130 1.2×	153 1.4×	30	895
Li Chen	252 0.5×	81 0.6×	87 0.8×	40 0.4×	100 0.9×	42	844
T. Saito	402 0.9×	33 0.2×	43 0.4×	65 0.6×	119 1.1×	46	890
Qun Li	310 0.7×	97 0.7×	90 0.8×	111 1.0×	278 2.6×	57	801
Charles J. Murphy	310 0.7×	69 0.5×	83 0.7×	80 0.7×	147 1.3×	26	719
Sifan Yu	512 1.1×	146 1.1×	146 1.3×	148 1.3×	228 2.1×	56	858

Countries citing papers authored by Haiping Song

Since Specialization

Citations

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

Fields of papers citing papers by Haiping Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiping Song

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