Haiqing Tang

25 total papers · 991 total citations
21 papers, 702 citations indexed

About

Haiqing Tang is a scholar working on Molecular Biology, Aging and Endocrine and Autonomic Systems. According to data from OpenAlex, Haiqing Tang has authored 21 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Aging and 5 papers in Endocrine and Autonomic Systems. Recurrent topics in Haiqing Tang's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Adipose Tissue and Metabolism (5 papers) and Circadian rhythm and melatonin (5 papers). Haiqing Tang is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Adipose Tissue and Metabolism (5 papers) and Circadian rhythm and melatonin (5 papers). Haiqing Tang collaborates with scholars based in China, United States and Canada. Haiqing Tang's co-authors include Janet Chow, Sarkis K. Mazmanian, Shanshan Pang, Ying Zang, Bin He, Yefei Rong, Hui Wang, Xiuying Xiao, Shu Zhuo and Yingying Le and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Immunology.

In The Last Decade

Haiqing Tang

19 papers receiving 689 citations

Author Peers

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

Author Last Decade Papers Cites
Haiqing Tang 368 123 113 110 107 21 702
Swati Banerjee 237 0.6× 216 1.8× 98 0.9× 68 0.6× 113 1.1× 28 734
Fanny Aprahamian 577 1.6× 263 2.1× 65 0.6× 85 0.8× 73 0.7× 17 871
Barry W. Ritz 173 0.5× 191 1.6× 187 1.7× 48 0.4× 73 0.7× 22 787
Cecilia Castro 454 1.2× 128 1.0× 64 0.6× 130 1.2× 80 0.7× 32 896
Violeta Chávez 274 0.7× 61 0.5× 66 0.6× 217 2.0× 107 1.0× 15 623
Wail M. Hassan 143 0.4× 76 0.6× 100 0.9× 42 0.4× 131 1.2× 31 654
Anne Sailer 342 0.9× 63 0.5× 105 0.9× 35 0.3× 111 1.0× 18 741
Hisako Nakagawa 416 1.1× 80 0.7× 77 0.7× 66 0.6× 141 1.3× 15 688
Patrick Rockenfeller 536 1.5× 100 0.8× 54 0.5× 68 0.6× 37 0.3× 20 892
Alberto B. Silva 150 0.4× 132 1.1× 256 2.3× 39 0.4× 108 1.0× 9 821

Countries citing papers authored by Haiqing Tang

Since Specialization
Citations

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

Fields of papers citing papers by Haiqing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiqing Tang

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