Wei Tan
-
- Cardiac Fibrosis and Remodeling 9
- Viral Infections and Immunology Research 5
- Molecular Biology top 2%
- CRISPR and Genetic Engineering 11
- Congenital heart defects research 10
- Cell Biology top 1%
- Surgery top 2%
- Tissue Engineering and Regenerative Medicine 6
- Immunology top 5%
- Immune Response and Inflammation 7
-
- Neurogenesis and neuroplasticity mechanisms 7
-
- Spinal Cord Injury Research 5
- Co-authors
- Eric N. OlsonRhonda Bassel‐DubyJoseph A. HillXiaoxia QiHesham A. SadekEnzo R. PorrelloAhmed I. MahmoudJohn McAnally
- Journals
- Circulation (7 papers)Circulation Research (4 papers)Proceedings of the National Academy of Sciences (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Wei Tan
79 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cardiology and Cardiovascular Medicine 1.3k
- Molecular Biology 3.8k
- Cell Biology 808
- Surgery 1.2k
- Immunology 560
Countries citing papers authored by Wei Tan
This map shows the geographic impact of Wei Tan'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 Wei Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Tan more than expected).
Fields of papers citing papers by Wei Tan
This network shows the impact of papers produced by Wei Tan. 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 Wei Tan. The network helps show where Wei Tan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wei Tan, 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 20 | |
| 10 | 2023 | 73 | |
| 11 | 2023 | 18 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 103 | |
| 17 | 2021 | 83 | |
| 18 | [Pyridoxal kinase (PDXK) promotes the proliferation of serous ovarian cancer cells and is associated with poor prognosis]. | 2020 | 2 |
| 19 | 2018 | 10 | |
| 20 | Doxorubicin Blocks Cardiomyocyte Autophagic Flux by Inhibiting Lysosome Acidificationbreakdown → | 2016 | 359 |
About Wei Tan
Wei Tan is a scholar working on Developmental Neuroscience, Cancer Research and Immunology, having authored 83 papers that have together received 5.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (11 papers), Congenital heart defects research (10 papers), Cardiac Fibrosis and Remodeling (9 papers), Immune Response and Inflammation (7 papers), Neurogenesis and neuroplasticity mechanisms (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Spinal Cord Injury Research (5 papers) and Viral Infections and Immunology Research (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Molecular Biology (3.8k citations) and Cell Biology (808 citations). Wei Tan has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Eric N. Olson, Rhonda Bassel‐Duby, Joseph A. Hill, Xiaoxia Qi, Hesham A. Sadek, Enzo R. Porrello, Ahmed I. Mahmoud, John McAnally, Daniel Enosi Tuipulotu and Yansong Xue. Their work appears in journals such as Circulation, Circulation Research, Proceedings of the National Academy of Sciences, Toxicological Sciences and Nature Communications.
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.