Ling Tang

33 total papers · 509 total citations
25 papers, 381 citations indexed

About

Ling Tang is a scholar working on Immunology, Molecular Biology and Complementary and alternative medicine. According to data from OpenAlex, Ling Tang has authored 25 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Complementary and alternative medicine. Recurrent topics in Ling Tang's work include Immune Cell Function and Interaction (8 papers), Biological Activity of Diterpenoids and Biflavonoids (4 papers) and Medicinal plant effects and applications (4 papers). Ling Tang is often cited by papers focused on Immune Cell Function and Interaction (8 papers), Biological Activity of Diterpenoids and Biflavonoids (4 papers) and Medicinal plant effects and applications (4 papers). Ling Tang collaborates with scholars based in China, United States and France. Ling Tang's co-authors include Rui Sun, Haiming Wei, Zhigang Tian, Hui Peng, Wayne M. Yokoyama, Jing Zhou, Yongyan Chen, Haiyan Liu, Yuanhong Xu and Lu Bai and has published in prestigious journals such as Science, The Journal of Immunology and Hepatology.

In The Last Decade

Ling Tang

24 papers receiving 374 citations

Author Peers

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

Author						Papers	Cites
Ling Tang	202	71	68	54	25	25	381
Kumar Parijat Tripathi	157 0.8×	64 0.9×	186 2.7×	15 0.3×	18 0.7×	20	414
Kai D. Ludwig	27 0.1×	39 0.5×	74 1.1×	27 0.5×	15 0.6×	20	360
Yang Liu	47 0.2×	13 0.2×	154 2.3×	29 0.5×	41 1.6×	34	371
Cheng‐Yi Kuo	39 0.2×	37 0.5×	132 1.9×	35 0.6×	23 0.9×	25	368
Jimin Li	36 0.2×	21 0.3×	155 2.3×	15 0.3×	29 1.2×	23	443
Carlos Wong	42 0.2×	22 0.3×	250 3.7×	32 0.6×	42 1.7×	33	441
Stefano Ceccarelli	78 0.4×	41 0.6×	49 0.7×	12 0.2×	32 1.3×	27	366
Hairong Zeng	113 0.6×	21 0.3×	169 2.5×	22 0.4×	31 1.2×	23	410
Masakuni Yamamoto	83 0.4×	17 0.2×	168 2.5×	9 0.2×	33 1.3×	32	369
Prajna Banerjee	106 0.5×	10 0.1×	65 1.0×	18 0.3×	7 0.3×	26	403

Countries citing papers authored by Ling Tang

Since Specialization

Citations

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

Fields of papers citing papers by Ling Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Tang

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