Wanhua Yang

31 total papers · 501 total citations
24 papers, 383 citations indexed

About

Wanhua Yang is a scholar working on Molecular Biology, Infectious Diseases and Surgery. According to data from OpenAlex, Wanhua Yang has authored 24 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Surgery. Recurrent topics in Wanhua Yang's work include Pancreatitis Pathology and Treatment (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Natural product bioactivities and synthesis (2 papers). Wanhua Yang is often cited by papers focused on Pancreatitis Pathology and Treatment (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and Natural product bioactivities and synthesis (2 papers). Wanhua Yang collaborates with scholars based in China, Taiwan and United States. Wanhua Yang's co-authors include Carlos F. Barbas, Herren Wu, Xiaoqin Ma, Xin Song, Jingjing Huang, Shin‐Tsu Chang, Yongmei Huang, Weixia Zhang, Enqiang Mao and Erzhen Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Ethnopharmacology and Medicine.

In The Last Decade

Wanhua Yang

24 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Wanhua Yang	220	61	45	33	30	24	383
Wei Sun	153 0.7×	16 0.3×	42 0.9×	25 0.8×	43 1.4×	32	400
Yaghoub Safdari	258 1.2×	149 2.4×	30 0.7×	22 0.7×	54 1.8×	23	432
Qingchen Zhang	174 0.8×	31 0.5×	36 0.8×	14 0.4×	74 2.5×	25	346
Shen Li	178 0.8×	27 0.4×	23 0.5×	14 0.4×	36 1.2×	26	433
Aditi Dubey	123 0.6×	54 0.9×	12 0.3×	36 1.1×	30 1.0×	32	365
M. Kh. Levitman	112 0.5×	53 0.9×	59 1.3×	16 0.5×	27 0.9×	28	408
Ruxia Liu	233 1.1×	40 0.7×	35 0.8×	5 0.2×	63 2.1×	20	435
Min Yin	164 0.7×	31 0.5×	35 0.8×	9 0.3×	39 1.3×	29	404
Imteyaz Qamar	145 0.7×	29 0.5×	18 0.4×	31 0.9×	15 0.5×	27	367
Karolina Pietrowska	225 1.0×	39 0.6×	14 0.3×	54 1.6×	13 0.4×	31	388

Countries citing papers authored by Wanhua Yang

Since Specialization

Citations

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

Fields of papers citing papers by Wanhua Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanhua Yang

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