Cuiyan Xin

13 total papers · 599 total citations
12 papers, 532 citations indexed

About

Cuiyan Xin is a scholar working on Molecular Biology, Nephrology and Physiology. According to data from OpenAlex, Cuiyan Xin has authored 12 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Nephrology and 3 papers in Physiology. Recurrent topics in Cuiyan Xin's work include Sphingolipid Metabolism and Signaling (8 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and TGF-β signaling in diseases (3 papers). Cuiyan Xin is often cited by papers focused on Sphingolipid Metabolism and Signaling (8 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and TGF-β signaling in diseases (3 papers). Cuiyan Xin collaborates with scholars based in Germany, Switzerland and Dominican Republic. Cuiyan Xin's co-authors include Andrea Huwiler, Josef Pfeilschifter, Shuyu Ren, W. Eberhardt, Burkhard Kleuser, Heinfried H. Radeke, Monika Schäfer‐Korting, Anke Doller, Hermann Pavenstädt and Liliana Schaefer and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Kidney International.

In The Last Decade

Cuiyan Xin

12 papers receiving 525 citations

Author Peers

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

Author						Papers	Cites
Cuiyan Xin	421	127	87	62	54	12	532
Pal Göőz	262 0.6×	101 0.8×	81 0.9×	30 0.5×	68 1.3×	12	548
Michael ter Braak	416 1.0×	207 1.6×	59 0.7×	27 0.4×	20 0.4×	11	545
Suk-Ran Yoon	269 0.6×	57 0.4×	219 2.5×	58 0.9×	64 1.2×	12	567
Samuel A. Green	179 0.4×	106 0.8×	128 1.5×	69 1.1×	22 0.4×	10	456
Farquhar Mg	235 0.6×	117 0.9×	53 0.6×	124 2.0×	21 0.4×	13	488
Masakuni Noda	317 0.8×	61 0.5×	36 0.4×	116 1.9×	28 0.5×	15	604
Fatime O. Goda	273 0.6×	70 0.6×	35 0.4×	90 1.5×	41 0.8×	7	477
Xiwu Chen	222 0.5×	74 0.6×	59 0.7×	77 1.2×	17 0.3×	13	486
Michael Bayer	221 0.5×	259 2.0×	55 0.6×	41 0.7×	27 0.5×	15	503
Claudia Mueller	284 0.7×	130 1.0×	57 0.7×	22 0.4×	25 0.5×	15	544

Countries citing papers authored by Cuiyan Xin

Since Specialization

Citations

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

Fields of papers citing papers by Cuiyan Xin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiyan Xin

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