Aiyu Tang

44 total papers · 2.6k total citations
3 papers, 208 citations indexed

About

Aiyu Tang is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Aiyu Tang has authored 3 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Aiyu Tang's work include Pancreatitis Pathology and Treatment (1 paper), Nutritional Studies and Diet (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). Aiyu Tang is often cited by papers focused on Pancreatitis Pathology and Treatment (1 paper), Nutritional Studies and Diet (1 paper) and Cardiovascular Health and Disease Prevention (1 paper). Aiyu Tang collaborates with scholars based in China, United Kingdom and United States. Aiyu Tang's co-authors include V.T.F. Yeung, Benjamin Tomlinson, Ka Sing Wong, Liming Li, Zhengming Chen, Zheng Bian, Ling Yang, Yu Guo, Canqing Yu and Junshi Chen and has published in prestigious journals such as Annals of Internal Medicine, Neurology and Scientific Reports.

In The Last Decade

Aiyu Tang

3 papers receiving 205 citations

Author Peers

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

Author						Papers	Cites
Aiyu Tang	138	95	57	56	41	3	208
Walter Muruet	58 0.4×	134 1.4×	14 0.2×	65 1.2×	31 0.8×	5	222
Giulio Maresca	111 0.8×	105 1.1×	59 1.0×	82 1.5×	8 0.2×	2	259
L.J. Kapelle	52 0.4×	62 0.7×	28 0.5×	40 0.7×	12 0.3×	6	180
Monica Uliana	24 0.2×	91 1.0×	35 0.6×	53 0.9×	8 0.2×	6	282
Treena McDonald	37 0.3×	47 0.5×	23 0.4×	24 0.4×	13 0.3×	6	228
Dominique Minier	106 0.8×	185 1.9×	15 0.3×	69 1.2×	31 0.8×	3	279
Angela Delsing	36 0.3×	123 1.3×	129 2.3×	77 1.4×	21 0.5×	6	274
Steven L. Hoover	125 0.9×	171 1.8×	13 0.2×	20 0.4×	114 2.8×	5	250
Hans Romijn	29 0.2×	95 1.0×	46 0.8×	25 0.4×	24 0.6×	5	286
Ilda Matos	59 0.4×	99 1.0×	16 0.3×	34 0.6×	57 1.4×	6	258

Countries citing papers authored by Aiyu Tang

Since Specialization

Citations

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

Fields of papers citing papers by Aiyu Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aiyu Tang

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