Xianglan Quan

18 total papers · 597 total citations
15 papers, 493 citations indexed

About

Xianglan Quan is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Xianglan Quan has authored 15 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Surgery and 4 papers in Epidemiology. Recurrent topics in Xianglan Quan's work include Pancreatic function and diabetes (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Mitochondrial Function and Pathology (3 papers). Xianglan Quan is often cited by papers focused on Pancreatic function and diabetes (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Mitochondrial Function and Pathology (3 papers). Xianglan Quan collaborates with scholars based in South Korea, Switzerland and China. Xianglan Quan's co-authors include Kyu‐Sang Park, Ranjan Das, Tuyet Thi Nguyen, Shanhua Xu, Seung‐Kuy Cha, Eun Young Lee, Claes B. Wollheim, Choon Hee Chung, Andreas Wiederkehr and Ji‐Hee Kim and has published in prestigious journals such as Journal of Biological Chemistry, The FASEB Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Xianglan Quan

13 papers receiving 489 citations

Author Peers

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

Author						Papers	Cites
Xianglan Quan	243	149	88	78	70	15	493
Ranjan Das	234 1.0×	173 1.2×	84 1.0×	65 0.8×	68 1.0×	20	518
Farquhar Mg	235 1.0×	124 0.8×	61 0.7×	117 1.5×	28 0.4×	13	488
Ramesh R. Kaini	226 0.9×	171 1.1×	37 0.4×	44 0.6×	108 1.5×	14	499
Sho Ishizawa	228 0.9×	155 1.0×	42 0.5×	32 0.4×	59 0.8×	19	524
Yoshikata Morita	143 0.6×	117 0.8×	90 1.0×	52 0.7×	156 2.2×	16	477
John A. Dlugosz	217 0.9×	144 1.0×	95 1.1×	62 0.8×	55 0.8×	12	493
Nicole Hogg	246 1.0×	127 0.9×	69 0.8×	32 0.4×	24 0.3×	8	506
Yoshiki Akakabe	155 0.6×	67 0.4×	77 0.9×	25 0.3×	44 0.6×	18	429
Yurena Vivas	170 0.7×	58 0.4×	46 0.5×	39 0.5×	59 0.8×	15	438
Tae Niwa	188 0.8×	131 0.9×	112 1.3×	51 0.7×	25 0.4×	16	471

Countries citing papers authored by Xianglan Quan

Since Specialization

Citations

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

Fields of papers citing papers by Xianglan Quan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xianglan Quan

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