Cuiyan Xin

605 citations
12 papers · 555 · h-index 10

Impact in

  • Nephrology top 10%
    • Renal Diseases and Glomerulopathies
  • Cell Biology top 10%
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion

Papers in

    • Adenosine and Purinergic Signaling 3
    • Chronic Kidney Disease and Diabetes 2
    • Renal Diseases and Glomerulopathies 2

Cuiyan Xin

12 papers receiving 543 citations

Peers

Cuiyan Xin
Comparison fields: 5 of 61
  • Nephrology 53
  • Cell Biology 124
  • Molecular Biology 417
  • Immunology 83
  • Physiology 14
Replace Pamela Farfán with:
Pamela Farfán Chile
Phyllis S. Frisa United States
Baptiste Gras France
Yuichi Yahagi Japan
Christine Maeder Switzerland
Iris Treinies Germany
Pekka Ihalmo Finland
Bindu Ramachandran United States
Juanru Guo United States
Erin L. Reineke United States
Cuiyan Xin relative to Pamela Farfán Chile Pamela Farfán's profile →
Citations per field
00.5×2×2.9×
Pamela Farfán · 1×
Citations per year

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-authors

The 20 scholars most cited alongside Cuiyan Xin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cuiyan Xin Line = papers co-authored together Cuiyan Xin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2004169
2 200972
3 200557
4 201056
5 200553
6 201041
7 200540
8 200424
9 200421
10 200710
11 20027
12 20035

About Cuiyan Xin

Cuiyan Xin is a scholar working on Physiology, Nephrology, Molecular Biology, Biochemistry and Genetics, having authored 12 papers that have together received 555 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (8 papers), TGF-β signaling in diseases (3 papers), Adenosine and Purinergic Signaling (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Renal Diseases and Glomerulopathies (2 papers), Connective Tissue Growth Factor Research (2 papers), Ion Transport and Channel Regulation (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Nephrology (53 citations), Cell Biology (124 citations), Molecular Biology (417 citations), Immunology (83 citations) and Physiology (14 citations). Cuiyan Xin has collaborated with scholars based in Germany, Switzerland and Dominican Republic. Frequent co-authors include Andrea Huwiler, Josef M. Pfeilschifter, Shuyu Ren, W. Eberhardt, Burkhard Kleuser, Monika Schäfer‐Korting, Heinfried H. Radeke, Anke Doller, Hermann Pavenstädt and Uwe Zangemeister‐Wittke. Their work appears in journals such as British Journal of Pharmacology, Journal of Biological Chemistry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Kidney International and Cellular Physiology and Biochemistry.

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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