Dazhi Tang

21 total papers · 940 total citations
8 papers, 404 citations indexed

About

Dazhi Tang is a scholar working on Molecular Biology, Animal Science and Zoology and Immunology. According to data from OpenAlex, Dazhi Tang has authored 8 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Animal Science and Zoology and 3 papers in Immunology. Recurrent topics in Dazhi Tang's work include Animal Nutrition and Physiology (4 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related molecular mechanisms research (2 papers). Dazhi Tang is often cited by papers focused on Animal Nutrition and Physiology (4 papers), Immune Cell Function and Interaction (2 papers) and Cancer-related molecular mechanisms research (2 papers). Dazhi Tang collaborates with scholars based in China, Italy and United States. Dazhi Tang's co-authors include Shaojia Yan, Yuming Guo, Tahir Mahmood, Surinder Kaur, Hai Lin, Jianmin Wu, Xiaojuan Wang, Jingpeng Zhao, Hao Fan and Hongchao Jiao and has published in prestigious journals such as Journal of Biological Chemistry, Frontiers in Immunology and Journal of Dairy Science.

In The Last Decade

Dazhi Tang

8 papers receiving 390 citations

Author Peers

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

Author						Papers	Cites
Dazhi Tang	151	132	106	57	51	8	404
Fabienne Ferrara	133 0.9×	164 1.2×	45 0.4×	28 0.5×	26 0.5×	9	482
Marielle Odin	95 0.6×	38 0.3×	66 0.6×	12 0.2×	31 0.6×	13	450
M. Ramírez-Boo	162 1.1×	71 0.5×	61 0.6×	10 0.2×	14 0.3×	11	382
Ching-Ping Chan	112 0.7×	48 0.4×	139 1.3×	25 0.4×	80 1.6×	8	455
Jin Chao	223 1.5×	29 0.2×	68 0.6×	10 0.2×	38 0.7×	16	400
Maorong Xie	103 0.7×	78 0.6×	154 1.5×	15 0.3×	82 1.6×	10	431
Marion Poenisch	87 0.6×	47 0.4×	32 0.3×	7 0.1×	216 4.2×	11	403
Melanie Hageleit	213 1.4×	53 0.4×	38 0.4×	58 1.0×	14 0.3×	10	482
Yulin Shou	192 1.3×	25 0.2×	43 0.4×	4 0.1×	58 1.1×	16	438
D.W. Chen	276 1.8×	125 0.9×	35 0.3×	34 0.6×	12 0.2×	17	443

Countries citing papers authored by Dazhi Tang

Since Specialization

Citations

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

Fields of papers citing papers by Dazhi Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dazhi Tang

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