Hsiang‐Lin Song

28 total papers · 810 total citations
27 papers, 577 citations indexed

About

Hsiang‐Lin Song is a scholar working on Surgery, Molecular Biology and Rheumatology. According to data from OpenAlex, Hsiang‐Lin Song has authored 27 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 6 papers in Molecular Biology and 5 papers in Rheumatology. Recurrent topics in Hsiang‐Lin Song's work include Viral-associated cancers and disorders (2 papers), Drug-Induced Adverse Reactions (2 papers) and Soft tissue tumor case studies (2 papers). Hsiang‐Lin Song is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Drug-Induced Adverse Reactions (2 papers) and Soft tissue tumor case studies (2 papers). Hsiang‐Lin Song collaborates with scholars based in Taiwan, United States and China. Hsiang‐Lin Song's co-authors include Hsing‐Wen Sung, Yung‐Tsu Cho, Che‐Wen Yang, Chia‐Yu Chu, Yu‐Jung Lin, Yi-Chun Chen, Fwu‐Long Mi, Yen Chang, Yu-Min Yeh and Wan‐Ting Huang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Clinical Oncology.

In The Last Decade

Hsiang‐Lin Song

26 papers receiving 571 citations

Author Peers

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

Author						Papers	Cites
Hsiang‐Lin Song	163	104	95	88	87	27	577
Wanli Li	149 0.9×	142 1.4×	44 0.5×	50 0.6×	59 0.7×	34	599
Xiankun Cao	177 1.1×	246 2.4×	70 0.7×	85 1.0×	132 1.5×	32	643
Te‐Yang Huang	109 0.7×	164 1.6×	93 1.0×	69 0.8×	101 1.2×	29	622
Matthew P. Murphy	94 0.6×	162 1.6×	54 0.6×	56 0.6×	65 0.7×	28	636
Huiren Wang	211 1.3×	113 1.1×	43 0.5×	60 0.7×	155 1.8×	25	550
Deyanira Contartese	126 0.8×	122 1.2×	92 1.0×	67 0.8×	45 0.5×	41	620
David N. Paglia	111 0.7×	165 1.6×	81 0.9×	49 0.6×	72 0.8×	31	555
Peadar Rooney	51 0.3×	159 1.5×	40 0.4×	71 0.8×	95 1.1×	18	594
Xiaozhong Zhou	264 1.6×	200 1.9×	39 0.4×	46 0.5×	59 0.7×	16	565
Weixu Li	144 0.9×	205 2.0×	75 0.8×	28 0.3×	57 0.7×	50	666

Countries citing papers authored by Hsiang‐Lin Song

Since Specialization

Citations

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

Fields of papers citing papers by Hsiang‐Lin Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiang‐Lin Song

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