Xiao Yu
Impact in
- Immunology top 5%
- interferon and immune responses
- Molecular Biology top 5%
- Cell death mechanisms and regulation
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
Papers in ⓘ
- Immunology 27
- interferon and immune responses 15
- Immune Cell Function and Interaction 4
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- Inflammasome and immune disorders 8
- Cell death mechanisms and regulation 5
- Co-authors
- Sha Jin (3 shared papers)Michael J. Mitten (4 shared papers)Steven W. Elmore (4 shared papers)Saul H. Rosenberg (4 shared papers)Stephen W. Fesik (4 shared papers)Christin Tse (4 shared papers)Stephen K. Tahir (4 shared papers)Alexander R. Shoemaker (3 shared papers)
- Journals
- Cancer Research (3 papers)mBio (3 papers)Blood (3 papers)Nature Communications (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Xiao Yu
53 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 665
- Molecular Biology 1.9k
- Hematology 292
- Oncology 608
- Genetics 236
Countries citing papers authored by Xiao Yu
This map shows the geographic impact of Xiao 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 Xiao Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao Yu more than expected).
Fields of papers citing papers by Xiao Yu
This network shows the impact of papers produced by Xiao 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 Xiao Yu. The network helps show where Xiao Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao 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
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ABT-263: A Potent and Orally Bioavailable Bcl-2 Family Inhibitor Hit paper breakdown → | 2008 | 1513 |
| 2 | 2017 | 165 | |
| 3 | 2020 | 126 | |
| 4 | 2021 | 116 | |
| 5 | 2010 | 100 | |
| 6 | 2022 | 98 | |
| 7 | 2016 | 96 | |
| 8 | 2014 | 74 | |
| 9 | 2008 | 64 | |
| 10 | 2017 | 61 | |
| 11 | 2018 | 53 | |
| 12 | 2017 | 38 | |
| 13 | 2017 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2021 | 32 | |
| 16 | 2022 | 29 | |
| 17 | 2016 | 27 | |
| 18 | 2023 | 26 | |
| 19 | 2023 | 26 | |
| 20 | 2019 | 25 |
About Xiao Yu
Xiao Yu is a scholar working on Immunology, Molecular Biology, Parasitology, Hematology and Periodontics, having authored 57 papers that have together received 3.0k indexed citations. Recurring topics across this work include interferon and immune responses (15 papers), Inflammasome and immune disorders (8 papers), Autophagy in Disease and Therapy (7 papers), Cell death mechanisms and regulation (5 papers), Immune Cell Function and Interaction (4 papers), Viral Infections and Vectors (4 papers), Malaria Research and Control (4 papers) and Mosquito-borne diseases and control (4 papers). The work is most often cited by research in Immunology (665 citations), Molecular Biology (1.9k citations), Hematology (292 citations), Oncology (608 citations) and Genetics (236 citations). Xiao Yu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Sha Jin, Michael J. Mitten, Steven W. Elmore, Saul H. Rosenberg, Stephen W. Fesik, Christin Tse, Stephen K. Tahir, Alexander R. Shoemaker, Haichao Zhang and Eric F. Johnson. Their work appears in journals such as Cancer Research, mBio, Blood, Nature Communications and Frontiers in Immunology.
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.