Daxin Tang

22 total papers · 805 total citations
16 papers, 688 citations indexed

About

Daxin Tang is a scholar working on Molecular Biology, Clinical Biochemistry and Organic Chemistry. According to data from OpenAlex, Daxin Tang has authored 16 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 2 papers in Organic Chemistry. Recurrent topics in Daxin Tang's work include Connexins and lens biology (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Daxin Tang is often cited by papers focused on Connexins and lens biology (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Protein Interaction Studies and Fluorescence Analysis (4 papers). Daxin Tang collaborates with scholars based in United States, Netherlands and China. Daxin Tang's co-authors include Douglas Borchman, Marta C. Yappert, Li Huang, Richard J. Cenedella, Gijs F.J.M. Vrensen, Madalina Rujoi, Gary N. Foulks, István P. Sugár, Parkson Lee‐Gau Chong and William Craig Byrdwell and has published in prestigious journals such as The Journal of Physical Chemistry, Free Radical Biology and Medicine and Chemical Physics Letters.

In The Last Decade

Daxin Tang

16 papers receiving 682 citations

Author Peers

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

Author Last Decade Papers Cites
Daxin Tang 525 125 122 103 64 16 688
Om P. Lamba 498 0.9× 101 0.8× 90 0.7× 34 0.3× 45 0.7× 30 760
Lu‐Ku Li 727 1.4× 263 2.1× 152 1.2× 16 0.2× 23 0.4× 24 793
Devanand Kowlessur 402 0.8× 87 0.7× 78 0.6× 29 0.3× 8 0.1× 30 741
Kai Bruns 252 0.5× 120 1.0× 25 0.2× 176 1.7× 345 5.4× 19 725
Theresa A. Davies 212 0.4× 226 1.8× 85 0.7× 46 0.4× 6 0.1× 27 727
Elizabeth Drolle 376 0.7× 257 2.1× 8 0.1× 51 0.5× 18 0.3× 21 611
Bryan M. Dunyak 606 1.2× 112 0.9× 29 0.2× 17 0.2× 37 0.6× 13 753
Barry E. Schaeffer 586 1.1× 108 0.9× 15 0.1× 23 0.2× 7 0.1× 15 790
Leah N. Makley 539 1.0× 53 0.4× 31 0.3× 15 0.1× 37 0.6× 12 652
John Sowell 297 0.6× 35 0.3× 30 0.2× 17 0.2× 11 0.2× 25 603

Countries citing papers authored by Daxin Tang

Since Specialization
Citations

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

Fields of papers citing papers by Daxin Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daxin Tang

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