Lan Yu
Impact in
- Immunology top 1%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Macrophage Migration Inhibitory Factor
- Immune Cell Function and Interaction
- Molecular Biology top 10%
- Signaling Pathways in Disease
- Glycosylation and Glycoproteins Research
- Protein Tyrosine Phosphatases
Papers in
- Immunology 16
- Galectins and Cancer Biology 15
- Toxin Mechanisms and Immunotoxins 4
- Macrophage Migration Inhibitory Factor 2
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- Signaling Pathways in Disease 7
- Glycosylation and Glycoproteins Research 5
- Co-authors
- Daniel K. Hsu (12 shared papers)Fu‐Tong Liu (13 shared papers)John Apgar (4 shared papers)Ichiro Kuwabara (4 shared papers)Hideki Sano (3 shared papers)Ri‐Yao Yang (5 shared papers)Bhavya Bhavna Sharma (3 shared papers)Shozo Izui (2 shared papers)
- Journals
- American Journal Of Pathology (3 papers)The Journal of Immunology (3 papers)Journal of Investigative Dermatology (3 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesSwitzerlandTaiwan
In The Last Decade
Lan Yu
16 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 96
- Immunology 1.9k
- Molecular Biology 964
- Immunology and Allergy 65
- Oncology 251
- Physiology 153
Countries citing papers authored by Lan Yu
This map shows the geographic impact of Lan Yu'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 Lan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Yu more than expected).
Fields of papers citing papers by Lan Yu
This network shows the impact of papers produced by Lan Yu. 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 Lan Yu. The network helps show where Lan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan Yu, 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 | 2000 | 427 | |
| 2 | 2000 | 368 | |
| 3 | 2003 | 305 | |
| 4 | 2003 | 303 | |
| 5 | 2004 | 148 | |
| 6 | 2001 | 121 | |
| 7 | 2008 | 89 | |
| 8 | 2006 | 87 | |
| 9 | 2002 | 84 | |
| 10 | 2009 | 75 | |
| 11 | 2004 | 72 | |
| 12 | 2011 | 67 | |
| 13 | 2016 | 48 | |
| 14 | 2008 | 45 | |
| 15 | 2016 | 40 | |
| 16 | 2014 | 8 |
About Lan Yu
Lan Yu is a scholar working on Immunology, Molecular Biology, Oncology, Genetics and Rheumatology, having authored 16 papers that have together received 2.3k indexed citations. Recurring topics across this work include Galectins and Cancer Biology (15 papers), Signaling Pathways in Disease (7 papers), Glycosylation and Glycoproteins Research (5 papers), Toxin Mechanisms and Immunotoxins (4 papers), Peptidase Inhibition and Analysis (3 papers), Macrophage Migration Inhibitory Factor (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Immunology (1.9k citations), Molecular Biology (964 citations), Immunology and Allergy (65 citations), Oncology (251 citations) and Physiology (153 citations). Lan Yu has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Daniel K. Hsu, Fu‐Tong Liu, John Apgar, Ichiro Kuwabara, Hideki Sano, Ri‐Yao Yang, Bhavya Bhavna Sharma, Shozo Izui, Wai‐Ping Fung‐Leung and Daniel R. Salomon. Their work appears in journals such as American Journal Of Pathology, The Journal of Immunology, Journal of Investigative Dermatology, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.