Ronghua Dai

69 total papers · 964 total citations
53 papers, 790 citations indexed

About

Ronghua Dai is a scholar working on Molecular Biology, Complementary and alternative medicine and Pharmacology. According to data from OpenAlex, Ronghua Dai has authored 53 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 18 papers in Complementary and alternative medicine and 14 papers in Pharmacology. Recurrent topics in Ronghua Dai's work include Traditional Chinese Medicine Analysis (16 papers), Natural product bioactivities and synthesis (12 papers) and Hormonal and reproductive studies (6 papers). Ronghua Dai is often cited by papers focused on Traditional Chinese Medicine Analysis (16 papers), Natural product bioactivities and synthesis (12 papers) and Hormonal and reproductive studies (6 papers). Ronghua Dai collaborates with scholars based in China, United States and Germany. Ronghua Dai's co-authors include J. Wayne Streilein, David Y.W. Lee, Wen Ma, Xiaoning Zhao, Yan Peng, Yun Wu, Kai Bi, Ying Shang, M. Reza Dana and Jun Yamada and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Chemical Engineering Journal.

In The Last Decade

Ronghua Dai

51 papers receiving 771 citations

Author Peers

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

Author						Papers	Cites
Ronghua Dai	358	179	149	126	119	53	790
Diya Lv	472 1.3×	142 0.8×	196 1.3×	102 0.8×	73 0.6×	46	896
Lee‐Fong Yau	530 1.5×	129 0.7×	137 0.9×	74 0.6×	62 0.5×	42	818
Guimin Zhang	361 1.0×	95 0.5×	139 0.9×	69 0.5×	69 0.6×	88	799
Ding Xiao-ping	208 0.6×	166 0.9×	84 0.6×	59 0.5×	131 1.1×	47	647
Menghua Liu	367 1.0×	202 1.1×	166 1.1×	92 0.7×	161 1.4×	42	813
Jin Mi Chun	428 1.2×	145 0.8×	150 1.0×	142 1.1×	201 1.7×	70	862
Baoqin Lin	324 0.9×	124 0.7×	105 0.7×	88 0.7×	122 1.0×	32	678
Haibo Li	404 1.1×	109 0.6×	203 1.4×	86 0.7×	203 1.7×	55	871
Rajani Mathur	317 0.9×	131 0.7×	141 0.9×	113 0.9×	104 0.9×	53	898
No Soo Kim	410 1.1×	104 0.6×	112 0.8×	87 0.7×	155 1.3×	49	787

Countries citing papers authored by Ronghua Dai

Since Specialization

Citations

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

Fields of papers citing papers by Ronghua Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ronghua Dai

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