Dahua Fan

10 total papers · 1.0k total citations
10 papers, 730 citations indexed

About

Dahua Fan is a scholar working on Molecular Biology, Oncology and Pharmacology. According to data from OpenAlex, Dahua Fan has authored 10 papers receiving a total of 730 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Pharmacology. Recurrent topics in Dahua Fan's work include Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). Dahua Fan is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Pharmacological Effects of Natural Compounds (1 paper). Dahua Fan collaborates with scholars based in China, Hong Kong and United States. Dahua Fan's co-authors include Meiqun Cao, Yongliang Cao, Yongkai Cao, Yajun Wang, Tao Gong, George Y. Chen, Zhengzhi Wu, Paul B.S. Lai, Jian Zhang and Zhixiang Jian and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Frontiers in Microbiology.

In The Last Decade

Dahua Fan

10 papers receiving 721 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Dahua Fan	337	242	185	158	88	10	730
Shujun Shentu	417 1.2×	212 0.9×	141 0.8×	122 0.8×	138 1.6×	20	837
Kan He	317 0.9×	189 0.8×	140 0.8×	111 0.7×	85 1.0×	20	654
Meiqun Cao	321 1.0×	254 1.0×	192 1.0×	63 0.4×	109 1.2×	22	862
Barbara Lettiero	260 0.8×	124 0.5×	206 1.1×	106 0.7×	51 0.6×	16	651
Wanhua Guo	351 1.0×	117 0.5×	228 1.2×	98 0.6×	78 0.9×	15	735
Rohit S. Mulik	313 0.9×	121 0.5×	248 1.3×	145 0.9×	60 0.7×	13	829
Li-Min Mu	481 1.4×	279 1.2×	360 1.9×	86 0.5×	156 1.8×	24	830
Mehdi Sabzichi	402 1.2×	85 0.4×	149 0.8×	163 1.0×	100 1.1×	18	805
Shihe Yang	325 1.0×	261 1.1×	81 0.4×	64 0.4×	70 0.8×	16	728
Zhijian Luo	279 0.8×	300 1.2×	209 1.1×	58 0.4×	93 1.1×	21	840

Countries citing papers authored by Dahua Fan

Since Specialization

Citations

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

Fields of papers citing papers by Dahua Fan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dahua Fan

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