Xin Yu
Impact in
- Immunology top 0.5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Genetics top 0.5%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 23
- Multiple Myeloma Research and Treatments 19
- Co-authors
- Louis M. StaudtArthur L. ShafferKathryn CalameHong ZhaoAndreas RosenwaldDavid AllmanAlexander L. DentRichard Baer
- Journals
- Blood (6 papers)Journal of Clinical Oncology (5 papers)Food and Chemical Toxicology (4 papers)Journal of Biological Chemistry (4 papers)Immunity (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xin Yu
135 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Immunology 2.9k
- Genetics 1.2k
- Pathology and Forensic Medicine 1.4k
- Hematology 731
- Oncology 1.5k
Countries citing papers authored by Xin Yu
This map shows the geographic impact of Xin 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 Xin Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Yu more than expected).
Fields of papers citing papers by Xin Yu
This network shows the impact of papers produced by Xin 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 Xin Yu. The network helps show where Xin Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xin 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 19 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 13 | |
| 12 | 2020 | 41 | |
| 13 | 2017 | 1 | |
| 14 | 2017 | 0 | |
| 15 | 2016 | 6 | |
| 16 | Posterior Thigh Flap Pedicled on the Cutaneous Vessels Arising From the Popliteo-posterior Intermediate Artery: A Report of 5 Cases. | 2016 | 1 |
| 17 | 2014 | 14 | |
| 18 | Detection of Wx-mq gene for low-amylose content by tetra-primer amplification refractory mutation system PCR in rice. | 2013 | 7 |
| 19 | Occurrence and variations of five classes of antibiotic resistance genes along the Jiulong River in southeast China. | 2013 | 20 |
| 20 | 2010 | 2 |
About Xin Yu
Xin Yu is a scholar working on Hematology, Biological Psychiatry, Cancer Research, Immunology and Molecular Biology, having authored 142 papers that have together received 7.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Protein Degradation and Inhibitors (19 papers), Parkinson's Disease Mechanisms and Treatments (8 papers), Ubiquitin and proteasome pathways (7 papers), Cancer Treatment and Pharmacology (5 papers), RNA modifications and cancer (5 papers), NF-κB Signaling Pathways (5 papers) and Botulinum Toxin and Related Neurological Disorders (5 papers). The work is most often cited by research in Immunology (2.9k citations), Genetics (1.2k citations), Pathology and Forensic Medicine (1.4k citations), Hematology (731 citations) and Oncology (1.5k citations). Xin Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Louis M. Staudt, Arthur L. Shaffer, Kathryn Calame, Hong Zhao, Andreas Rosenwald, David Allman, Alexander L. Dent, Richard Baer, John Powell and Elaine M. Hurt. Their work appears in journals such as Blood, Journal of Clinical Oncology, Food and Chemical Toxicology, Journal of Biological Chemistry and Immunity.
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.