Xingxing Zang
- Immunology top 0.2%
- Immunotherapy and Immune Responses 34
- Immune Cell Function and Interaction 33
- Immune cells in cancer 17
- T-cell and B-cell Immunology 13
- Immune Response and Inflammation 7
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers 58
- CAR-T cell therapy research 16
- Parasitology top 1%
- Cancer Research top 5%
- Genetics top 2%
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- Parasitic Diseases Research and Treatment 6
- Co-authors
- James P. AllisonKim C. OhaegbulamRick M. MaizelsAmer AssalEszter Lázár‐MolnárÉlodie PicardaYu YaoMurali Janakiram
- Cited by
- ImmunologyOncologyParasitology
- Journals
- Proceedings of the National Academy of Sciences (4 papers)Journal of Biological Chemistry (2 papers)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xingxing Zang
116 papers receiving 7.9k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Immunology 4.6k
- Oncology 4.3k
- Parasitology 465
- Cancer Research 626
- Genetics 415
Countries citing papers authored by Xingxing Zang
This map shows the geographic impact of Xingxing Zang'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 Xingxing Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingxing Zang more than expected).
Fields of papers citing papers by Xingxing Zang
This network shows the impact of papers produced by Xingxing Zang. 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 Xingxing Zang. The network helps show where Xingxing Zang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xingxing Zang, 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 | 2024 | 4 | |
| 3 | 2024 | 32 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 11 | |
| 7 | 2023 | 40 | |
| 8 | 2022 | 20 | |
| 9 | 2021 | 31 | |
| 10 | 2021 | 25 | |
| 11 | Molecular Features of Cancer-associated Fibroblast Subtypes and their Implication on Cancer Pathogenesis, Prognosis, and Immunotherapy Resistancebreakdown → | 2021 | 225 |
| 12 | 2021 | 65 | |
| 13 | 2019 | 17 | |
| 14 | 2018 | 31 | |
| 15 | 2018 | 38 | |
| 16 | 2016 | 148 | |
| 17 | 2015 | 40 | |
| 18 | 2014 | 131 | |
| 19 | 2005 | 20 | |
| 20 | 2000 | 62 |
About Xingxing Zang
Xingxing Zang is a scholar working on Immunology, Oncology and Genetics, having authored 118 papers that have together received 8.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (58 papers), Immunotherapy and Immune Responses (34 papers), Immune Cell Function and Interaction (33 papers), Immune cells in cancer (17 papers), CAR-T cell therapy research (16 papers), T-cell and B-cell Immunology (13 papers), Immune Response and Inflammation (7 papers) and Parasitic Diseases Research and Treatment (6 papers). The work is most often cited by research in Immunology (4.6k citations), Oncology (4.3k citations) and Parasitology (465 citations). Xingxing Zang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include James P. Allison, Kim C. Ohaegbulam, Rick M. Maizels, Amer Assal, Eszter Lázár‐Molnár, Élodie Picarda, Yu Yao, Murali Janakiram, P’ng Loke and Jordan M. Chinai. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.