Qiang Tian
- Immunology top 0.1%
- T-cell and B-cell Immunology 13
- Immune Cell Function and Interaction 10
- Psoriasis: Treatment and Pathogenesis 6
- Oncology top 1%
- Cancer Cells and Metastasis 8
- Colorectal Cancer Treatments and Studies 5
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 7
- Dermatology top 0.5%
- Hematology top 1%
-
- Epigenetics and DNA Methylation 7
-
- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Chen DongRoza NurievaXuexian O. YangLeroy HoodSeon Hee ChangAnton M. JettenStephanie S. WatowichYi-Hong Wang
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Nature (2 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Qiang Tian
93 papers receiving 13.9k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Immunology 8.3k
- Oncology 2.6k
- Cancer Research 1.3k
- Dermatology 698
- Hematology 732
Countries citing papers authored by Qiang Tian
This map shows the geographic impact of Qiang Tian'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 Qiang Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Tian more than expected).
Fields of papers citing papers by Qiang Tian
This network shows the impact of papers produced by Qiang Tian. 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 Qiang Tian. The network helps show where Qiang Tian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Qiang Tian, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 4 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 1 | |
| 8 | 2023 | 29 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 12 | |
| 11 | 2022 | 0 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 0 | |
| 14 | 2019 | 37 | |
| 15 | 2018 | 45 | |
| 16 | 2017 | 188 | |
| 17 | 2015 | 3 | |
| 18 | 2008 | 177 | |
| 19 | 2007 | 15 | |
| 20 | Integrated Genomic and Proteomic Analyses of Gene Expression in Mammalian Cellsbreakdown → | 2004 | 647 |
About Qiang Tian
Qiang Tian is a scholar working on Immunology, Cancer Research and Oncology, having authored 98 papers that have together received 14.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Immune Cell Function and Interaction (10 papers), Cancer Cells and Metastasis (8 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (7 papers), Advanced Proteomics Techniques and Applications (6 papers), Psoriasis: Treatment and Pathogenesis (6 papers) and Colorectal Cancer Treatments and Studies (5 papers). The work is most often cited by research in Immunology (8.3k citations), Oncology (2.6k citations) and Cancer Research (1.3k citations). Qiang Tian has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Chen Dong, Roza Nurieva, Xuexian O. Yang, Leroy Hood, Seon Hee Chang, Anton M. Jetten, Stephanie S. Watowich, Yi-Hong Wang, Li Ma and Yeonseok Chung. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.