Pei‐Xiang Xing
- Immunology top 2%
- Immunotherapy and Immune Responses 13
- Galectins and Cancer Biology 5
- Immune Cell Function and Interaction 4
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- Monoclonal and Polyclonal Antibodies Research 26
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 29
- RNA Interference and Gene Delivery 4
- Oncology top 5%
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- Xenotransplantation and immune response 9
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- Carbohydrate Chemistry and Synthesis 6
Pei‐Xiang Xing
55 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 86
- Immunology 979
- Radiology, Nuclear Medicine and Imaging 622
- Molecular Biology 1.5k
- Oncology 556
- Pathology and Forensic Medicine 303
Countries citing papers authored by Pei‐Xiang Xing
This map shows the geographic impact of Pei‐Xiang Xing'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 Pei‐Xiang Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Xiang Xing more than expected).
Fields of papers citing papers by Pei‐Xiang Xing
This network shows the impact of papers produced by Pei‐Xiang Xing. 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 Pei‐Xiang Xing. The network helps show where Pei‐Xiang Xing may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pei‐Xiang Xing, 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 | 2024 | 1 | |
| 2 | 2006 | 79 | |
| 3 | 2006 | 32 | |
| 4 | 2001 | 27 | |
| 5 | 2001 | 1 | |
| 6 | 2000 | 87 | |
| 7 | 1999 | 6 | |
| 8 | 1999 | 53 | |
| 9 | 1999 | 17 | |
| 10 | 1998 | 22 | |
| 11 | 1997 | 15 | |
| 12 | 1997 | 228 | |
| 13 | 1994 | 112 | |
| 14 | 1993 | 12 | |
| 15 | Altered glycosylation of the MUC-1 protein core contributes to the colon carcinoma-associated increase of mucin-bound sialyl-Lewis(x) expression. | 1993 | 69 |
| 16 | 1992 | 81 | |
| 17 | Evaluation of an inhibition enzyme immunoassay kit for mammary serum antigen (MSA) | 1991 | 6 |
| 18 | Cancer-associated serum antigen (CASA) and ovarian serum antigen (OSA): Two new tumor marker kits for detecting carcinoma-associated mucins | 1991 | 8 |
| 19 | 1991 | 39 | |
| 20 | 1990 | 5 |
About Pei‐Xiang Xing
Pei‐Xiang Xing is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Molecular Biology, having authored 56 papers that have together received 2.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (29 papers), Monoclonal and Polyclonal Antibodies Research (26 papers), Immunotherapy and Immune Responses (13 papers), Xenotransplantation and immune response (9 papers), Carbohydrate Chemistry and Synthesis (6 papers), Galectins and Cancer Biology (5 papers), RNA Interference and Gene Delivery (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (979 citations), Radiology, Nuclear Medicine and Imaging (622 citations) and Molecular Biology (1.5k citations). Pei‐Xiang Xing has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Ian F. C. McKenzie, Vasso Apostolopoulos, I F McKenzie, Mauro S. Sandrin, Nancy S. Magnuson, Zeping Wang, H Vaughan, Vaios Karanikas, Bruce E. Loveland and G. A. Pietersz. Their work appears in journals such as Journal of Clinical Investigation, Blood and The Journal of 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.