Xiao Lan Zhang
- Cell Biology top 0.2%
- Caveolin-1 and cellular processes 8
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 6
- RNA Research and Splicing 3
- Protein Kinase Regulation and GTPase Signaling 1
- Signaling Pathways in Disease 1
- Immunology and Allergy top 5%
- Physiology top 5%
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- Magnesium in Health and Disease 1
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- Growth Hormone and Insulin-like Growth Factors 1
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- Metabolism and Genetic Disorders 1
Xiao Lan Zhang
9 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Cell Biology 2.2k
- Molecular Biology 1.9k
- Immunology and Allergy 162
- Physiology 574
- Cardiology and Cardiovascular Medicine 478
Countries citing papers authored by Xiao Lan Zhang
This map shows the geographic impact of Xiao Lan Zhang'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 Xiao Lan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Lan Zhang more than expected).
Fields of papers citing papers by Xiao Lan Zhang
This network shows the impact of papers produced by Xiao Lan Zhang. 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 Xiao Lan Zhang. The network helps show where Xiao Lan Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiao Lan Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | [Effects of IH764-3 on proliferation and apoptosis of HSCs]. | 2002 | 1 |
| 2 | 2002 | 263 | |
| 3 | Caveolin-1 Null Mice Are Viable but Show Evidence of Hyperproliferative and Vascular Abnormalitiesbreakdown → | 2001 | 975 |
| 4 | Caveolin-1 Regulates Transforming Growth Factor (TGF)-β/SMAD Signaling through an Interaction with the TGF-β Type I Receptorbreakdown → | 2001 | 561 |
| 5 | 2001 | 367 | |
| 6 | 1999 | 129 | |
| 7 | 1999 | 147 | |
| 8 | 1998 | 128 | |
| 9 | 1998 | 190 |
About Xiao Lan Zhang
Xiao Lan Zhang is a scholar working on Cell Biology, Clinical Biochemistry, Molecular Biology, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 2.8k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (8 papers), Metabolism, Diabetes, and Cancer (6 papers), RNA Research and Splicing (3 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Signaling Pathways in Disease (1 paper), Magnesium in Health and Disease (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Cell Biology (2.2k citations), Molecular Biology (1.9k citations), Immunology and Allergy (162 citations), Physiology (574 citations) and Cardiology and Cardiovascular Medicine (478 citations). Xiao Lan Zhang has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Michael P. Lisanti, Jeffrey A. Engelman, Babak Razani, Burkhard Kneitz, Harry Hou, Winfried Edelmann, Maomi Li, Markus Bitzer, Gero von Gersdorff and Erwin P. Böttinger. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Molecular and Cellular Biology and PubMed.
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.