Er-Fu Yang

33 total papers · 470 total citations
22 papers, 146 citations indexed

About

Er-Fu Yang is a scholar working on Cell Biology, Plant Science and Molecular Biology. According to data from OpenAlex, Er-Fu Yang has authored 22 papers receiving a total of 146 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cell Biology, 15 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Er-Fu Yang's work include Plant Pathogens and Fungal Diseases (18 papers), Mycorrhizal Fungi and Plant Interactions (13 papers) and Fungal Biology and Applications (4 papers). Er-Fu Yang is often cited by papers focused on Plant Pathogens and Fungal Diseases (18 papers), Mycorrhizal Fungi and Plant Interactions (13 papers) and Fungal Biology and Applications (4 papers). Er-Fu Yang collaborates with scholars based in China, Thailand and Saudi Arabia. Er-Fu Yang's co-authors include Saowaluck Tibpromma, Samantha C. Karunarathna, Itthayakorn Promputtha, Rungtiwa Phookamsak, Jianchu Xu, Dong-Qin Dai, Abdallah M. Elgorban, Steven L. Stephenson, Zhenxiong Zhao and Fan Yang and has published in prestigious journals such as PLoS ONE, Frontiers in Oncology and Journal of Medical Microbiology.

In The Last Decade

Er-Fu Yang

21 papers receiving 139 citations

Author Peers

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

Author						Papers	Cites
Er-Fu Yang	103	94	34	24	22	22	146
Kevin R. Amses	44 0.4×	61 0.6×	25 0.7×	15 0.6×	27 1.2×	15	170
Junaid Khan	47 0.5×	80 0.9×	51 1.5×	9 0.4×	24 1.1×	26	153
Achala R. Rathnayaka	119 1.2×	127 1.4×	31 0.9×	23 1.0×	47 2.1×	12	196
John B. Routien	58 0.6×	47 0.5×	27 0.8×	8 0.3×	33 1.5×	16	122
Isabelle Robène-Soustrade	67 0.7×	257 2.7×	14 0.4×	10 0.4×	10 0.5×	22	289
Eduardo Piontelli	132 1.3×	104 1.1×	50 1.5×	22 0.9×	19 0.9×	34	188
Diogo Xavier Lima	127 1.2×	123 1.3×	72 2.1×	10 0.4×	31 1.4×	24	168
Surapong Khuna	126 1.2×	136 1.4×	29 0.9×	8 0.3×	26 1.2×	30	172
R. Ciferri	54 0.5×	83 0.9×	5 0.1×	22 0.9×	33 1.5×	23	138
Huijuan Yan	79 0.8×	116 1.2×	29 0.9×	12 0.5×	7 0.3×	27	223

Countries citing papers authored by Er-Fu Yang

Since Specialization

Citations

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

Fields of papers citing papers by Er-Fu Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Er-Fu Yang

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