David Tieri
Impact in
- Immunology top 5%
- Immune cells in cancer
- Psoriasis: Treatment and Pathogenesis
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Immunology 10
- T-cell and B-cell Immunology 5
- Immune cells in cancer 3
- Psoriasis: Treatment and Pathogenesis 2
- Immune Cell Function and Interaction 2
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- Extracellular vesicles in disease 2
- Glycosylation and Glycoproteins Research 2
- Co-authors
- Jun Yan (7 shared papers)Xiao Hu (7 shared papers)Chuanlin Ding (7 shared papers)Corey T. Watson (8 shared papers)Xiang Zhang (2 shared papers)Eric C. Rouchka (6 shared papers)Huang‐Ge Zhang (4 shared papers)Haixun Guo (3 shared papers)
- Journals
- The Journal of Immunology (2 papers)Nature Communications (2 papers)Cell Metabolism (1 paper)ImmunoHorizons (1 paper)EBioMedicine (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
David Tieri
13 papers receiving 943 citations
David Tieri's Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 553
- Cancer Research 229
- Dermatology 110
- Molecular Biology 477
- Oncology 170
Countries citing papers authored by David Tieri
This map shows the geographic impact of David Tieri'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 David Tieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tieri more than expected).
Fields of papers citing papers by David Tieri
This network shows the impact of papers produced by David Tieri. 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 David Tieri. The network helps show where David Tieri may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tieri, 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 | Tumor-derived exosomes drive immunosuppressive macrophages in a pre-metastatic niche through glycolytic dominant metabolic reprogramming Hit paper breakdown → | 2021 | 413 |
| 2 | 2018 | 204 | |
| 3 | 2020 | 129 | |
| 4 | 2022 | 64 | |
| 5 | 2023 | 49 | |
| 6 | 2022 | 27 | |
| 7 | 2020 | 21 | |
| 8 | 2023 | 15 | |
| 9 | 2018 | 11 | |
| 10 | 2024 | 6 | |
| 11 | 2018 | 5 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2026 | 0 |
About David Tieri
David Tieri is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology and Dermatology, having authored 14 papers that have together received 949 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immune cells in cancer (3 papers), Dermatology and Skin Diseases (2 papers), Extracellular vesicles in disease (2 papers), Psoriasis: Treatment and Pathogenesis (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (553 citations), Cancer Research (229 citations), Dermatology (110 citations), Molecular Biology (477 citations) and Oncology (170 citations). David Tieri has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jun Yan, Xiao Hu, Chuanlin Ding, Corey T. Watson, Xiang Zhang, Eric C. Rouchka, Huang‐Ge Zhang, Haixun Guo, Robert A. Mitchell and Matthew P. Fox. Their work appears in journals such as The Journal of Immunology, Nature Communications, Cell Metabolism, ImmunoHorizons and EBioMedicine.
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.