Luyi Tian
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Single-cell and spatial transcriptomics 10
- Gene expression and cancer classification 2
- Genomics and Phylogenetic Studies 2
- RNA modifications and cancer 2
-
- Cancer Genomics and Diagnostics 3
- Co-authors
- Evan Z. Macosko (3 shared papers)Fei Chen (3 shared papers)Matthew E. Ritchie (11 shared papers)Xueyi Dong (6 shared papers)Shian Su (5 shared papers)Jafar S. Jabbari (4 shared papers)Daniela Amann‐Zalcenstein (3 shared papers)Shalin H. Naik (3 shared papers)
- Journals
- Nature Methods (3 papers)Signal Transduction and Targeted Therapy (1 paper)Genome biology (1 paper)Frontiers in Physiology (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Luyi Tian
17 papers receiving 1.0k citations
Luyi Tian's Hit Papers
Peers
Comparison fields: 5 of 94
- Biophysics 108
- Cancer Research 168
- Molecular Biology 765
- Immunology 159
- Neurology 39
Countries citing papers authored by Luyi Tian
This map shows the geographic impact of Luyi 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 Luyi Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyi Tian more than expected).
Fields of papers citing papers by Luyi Tian
This network shows the impact of papers produced by Luyi 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 Luyi Tian. The network helps show where Luyi Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyi 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 | The expanding vistas of spatial transcriptomics Hit paper breakdown → | 2022 | 252 |
| 2 | 2019 | 203 | |
| 3 | 2023 | 106 | |
| 4 | Systematic comparison of sequencing-based spatial transcriptomic methods Hit paper breakdown → | 2024 | 88 |
| 5 | 2018 | 65 | |
| 6 | 2019 | 48 | |
| 7 | 2023 | 46 | |
| 8 | 2021 | 42 | |
| 9 | 2023 | 39 | |
| 10 | 2021 | 33 | |
| 11 | 2021 | 25 | |
| 12 | 2021 | 24 | |
| 13 | 2019 | 19 | |
| 14 | A systematic comparison between collagen-induced arthritis and pristane-induced arthritis in Dark Agouti rats. | 2010 | 16 |
| 15 | 2021 | 7 | |
| 16 | 2023 | 3 | |
| 17 | 2025 | 2 |
About Luyi Tian
Luyi Tian is a scholar working on Molecular Biology, Cancer Research, Immunology, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 1.0k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Cancer Genomics and Diagnostics (3 papers), Gene expression and cancer classification (2 papers), T-cell and B-cell Immunology (2 papers), Genomics and Phylogenetic Studies (2 papers), Neuroscience of respiration and sleep (2 papers), Respiratory and Cough-Related Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Biophysics (108 citations), Cancer Research (168 citations), Molecular Biology (765 citations), Immunology (159 citations) and Neurology (39 citations). Luyi Tian has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Evan Z. Macosko, Fei Chen, Matthew E. Ritchie, Xueyi Dong, Shian Su, Jafar S. Jabbari, Daniela Amann‐Zalcenstein, Shalin H. Naik, Saskia Freytag and Tom Weber. Their work appears in journals such as Nature Methods, Signal Transduction and Targeted Therapy, Genome biology, Frontiers in Physiology and Molecular Neurobiology.
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.