Daoguang Yan

36 total papers · 1.1k total citations
30 papers, 883 citations indexed

About

Daoguang Yan is a scholar working on Cell Biology, Molecular Biology and Surgery. According to data from OpenAlex, Daoguang Yan has authored 30 papers receiving a total of 883 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cell Biology, 16 papers in Molecular Biology and 15 papers in Surgery. Recurrent topics in Daoguang Yan's work include Cholesterol and Lipid Metabolism (14 papers), Cellular transport and secretion (11 papers) and Endoplasmic Reticulum Stress and Disease (11 papers). Daoguang Yan is often cited by papers focused on Cholesterol and Lipid Metabolism (14 papers), Cellular transport and secretion (11 papers) and Endoplasmic Reticulum Stress and Disease (11 papers). Daoguang Yan collaborates with scholars based in China, Finland and United States. Daoguang Yan's co-authors include Vesa M. Olkkonen, Wenbin Zhong, Matti Jauhiainen, Christian Ehnholm, Markku Lehto, Shiqian Li, Mikko I. Mäyränpää, Marion Weber‐Boyvat, Julia Perttilä and Qing Yi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Daoguang Yan

30 papers receiving 876 citations

Author Peers

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

Author Last Decade Papers Cites
Daoguang Yan 589 345 283 144 96 30 883
Anna Álvarez-Guaita 561 1.0× 178 0.5× 159 0.6× 158 1.1× 154 1.6× 21 905
Marion Weber‐Boyvat 549 0.9× 122 0.4× 304 1.1× 130 0.9× 52 0.5× 30 851
Matilde Caruso 616 1.0× 169 0.5× 85 0.3× 86 0.6× 42 0.4× 20 841
Rachel Avner 427 0.7× 202 0.6× 330 1.2× 70 0.5× 50 0.5× 18 929
Rosalia Mora 514 0.9× 157 0.5× 530 1.9× 63 0.4× 33 0.3× 18 946
Cédric M. Blouin 588 1.0× 74 0.2× 438 1.5× 63 0.4× 123 1.3× 26 995
Chi‐Yu Gregory Lee 499 0.8× 293 0.8× 63 0.2× 101 0.7× 114 1.2× 33 1.1k
Mel Silverman 444 0.8× 151 0.4× 125 0.4× 85 0.6× 55 0.6× 29 736
Robert Erdman 560 1.0× 158 0.5× 276 1.0× 67 0.5× 18 0.2× 25 984
P.K. Chiang 558 0.9× 72 0.2× 157 0.6× 125 0.9× 46 0.5× 25 975

Countries citing papers authored by Daoguang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Daoguang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daoguang Yan

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