Jinhua Dai

42 total papers · 2.4k total citations
21 papers, 2.0k citations indexed

About

Jinhua Dai is a scholar working on Surfaces, Coatings and Films, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Jinhua Dai has authored 21 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surfaces, Coatings and Films, 6 papers in Materials Chemistry and 5 papers in Molecular Biology. Recurrent topics in Jinhua Dai's work include Polymer Surface Interaction Studies (10 papers), Titanium Alloys Microstructure and Properties (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Jinhua Dai is often cited by papers focused on Polymer Surface Interaction Studies (10 papers), Titanium Alloys Microstructure and Properties (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Jinhua Dai collaborates with scholars based in United States and China. Jinhua Dai's co-authors include Merlin L. Bruening, Lei Sun, Gregory L. Baker, David M. Dotzauer, Joseph Wang, Jin Li, Anagi M. Balachandra, Parul Jain, Seong Uk Hong and Anton W. Jensen and has published in prestigious journals such as Journal of the American Chemical Society, Nano Letters and Chemistry of Materials.

In The Last Decade

Jinhua Dai

19 papers receiving 2.0k citations

Author Peers

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

Author Last Decade Papers Cites
Jinhua Dai 707 673 656 528 492 21 2.0k
Yang Ou 584 0.8× 1.3k 1.9× 540 0.8× 454 0.9× 418 0.8× 39 2.4k
Gaulthier Rydzek 461 0.7× 675 1.0× 528 0.8× 507 1.0× 281 0.6× 43 1.9k
Rebecca A. Zangmeister 360 0.5× 457 0.7× 598 0.9× 532 1.0× 142 0.3× 25 1.7k
Yuri Roiter 657 0.9× 500 0.7× 548 0.8× 222 0.4× 625 1.3× 38 2.0k
Heinz Lichtenfeld 1.9k 2.7× 689 1.0× 574 0.9× 520 1.0× 559 1.1× 22 2.9k
Mikhail Motornov 908 1.3× 563 0.8× 571 0.9× 388 0.7× 609 1.2× 24 2.0k
Raphaël Barbey 1.3k 1.8× 394 0.6× 617 0.9× 336 0.6× 855 1.7× 16 2.2k
John Moraes 689 1.0× 349 0.5× 507 0.8× 196 0.4× 611 1.2× 21 1.5k
Stephen G. Boyes 712 1.0× 632 0.9× 506 0.8× 194 0.4× 608 1.2× 33 1.7k
Nicolas Schüwer 1.3k 1.8× 375 0.6× 535 0.8× 312 0.6× 719 1.5× 13 2.0k

Countries citing papers authored by Jinhua Dai

Since Specialization
Citations

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

Fields of papers citing papers by Jinhua Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinhua Dai

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