Lin Tang

38 total papers · 532 total citations
31 papers, 364 citations indexed

About

Lin Tang is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Lin Tang has authored 31 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Oncology and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Lin Tang's work include Cancer-related Molecular Pathways (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Cancer-related gene regulation (3 papers). Lin Tang is often cited by papers focused on Cancer-related Molecular Pathways (4 papers), Transcranial Magnetic Stimulation Studies (3 papers) and Cancer-related gene regulation (3 papers). Lin Tang collaborates with scholars based in China, United States and Japan. Lin Tang's co-authors include Jeffrey N. Myers, Noriaki Tanaka, Ameeta A. Patel, Abdullah A. Osman, Mei Zhao, Hideaki Takahashi, Steven J. Frank, Antje Lindemann, Tseng‐Cheng Chen and Jing Wang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Cancer Research and Oncogene.

In The Last Decade

Lin Tang

29 papers receiving 359 citations

Author Peers

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

Author						Papers	Cites
Lin Tang	156	125	47	34	33	31	364
Kathleen Klein	125 0.8×	49 0.4×	49 1.0×	36 1.1×	21 0.6×	31	347
Ayelet Shai	82 0.5×	90 0.7×	90 1.9×	31 0.9×	19 0.6×	42	351
Jianhao Xu	153 1.0×	73 0.6×	113 2.4×	32 0.9×	20 0.6×	24	374
Pei‐Ju Lien	158 1.0×	79 0.6×	60 1.3×	34 1.0×	12 0.4×	33	364
Chao Zeng	163 1.0×	110 0.9×	82 1.7×	72 2.1×	14 0.4×	25	343
Jieyu Wang	99 0.6×	33 0.3×	40 0.9×	21 0.6×	22 0.7×	37	395
Joseph Adu‐Amankwaah	119 0.8×	46 0.4×	34 0.7×	37 1.1×	15 0.5×	42	372
Zhong Wan	127 0.8×	56 0.4×	69 1.5×	36 1.1×	23 0.7×	34	388
Liang Zhuang	187 1.2×	140 1.1×	92 2.0×	54 1.6×	8 0.2×	28	390
Ping Tao	96 0.6×	119 1.0×	53 1.1×	11 0.3×	26 0.8×	28	332

Countries citing papers authored by Lin Tang

Since Specialization

Citations

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

Fields of papers citing papers by Lin Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Tang

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