Lan N. Tu
Impact in
- Biological Psychiatry top 10%
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Cancer Genomics and Diagnostics 8
- MicroRNA in disease regulation 2
-
- Mitochondrial Function and Pathology 6
- Extracellular vesicles in disease 4
- Metabolomics and Mass Spectrometry Studies 3
- Co-authors
- Vimal SelvarajDouglas M. StoccoKanako MorohakuSusanne H. PeltonW.R. ButlerPulak R. MannaViju Vijayan PillaiMahmoud Hussein
- Journals
- Journal of Biological Chemistry (2 papers)Endocrinology (2 papers)Scientific Reports (1 paper)Agronomy (1 paper)Analytica Chimica Acta (1 paper)
- Partner nations
- United StatesVietnamChina
In The Last Decade
Lan N. Tu
27 papers receiving 768 citations
Peers
Comparison fields: 5 of 95
- Biological Psychiatry 41
- Neurology 92
- Behavioral Neuroscience 30
- Cellular and Molecular Neuroscience 122
- Clinical Biochemistry 42
Countries citing papers authored by Lan N. Tu
This map shows the geographic impact of Lan N. Tu'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 Lan N. Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan N. Tu more than expected).
Fields of papers citing papers by Lan N. Tu
This network shows the impact of papers produced by Lan N. Tu. 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 Lan N. Tu. The network helps show where Lan N. Tu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lan N. Tu, 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 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 0 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 12 | |
| 11 | 2024 | 13 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2020 | 25 | |
| 15 | 2019 | 14 | |
| 16 | 2017 | 68 | |
| 17 | 2016 | 59 | |
| 18 | 2016 | 33 | |
| 19 | 2015 | 40 | |
| 20 | 2009 | 44 |
About Lan N. Tu
Lan N. Tu is a scholar working on Cancer Research, Molecular Biology, Oncology, Geriatrics and Gerontology and Developmental Neuroscience, having authored 35 papers that have together received 771 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Mitochondrial Function and Pathology (6 papers), Extracellular vesicles in disease (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cancer Cells and Metastasis (3 papers), Genetic factors in colorectal cancer (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Neurology (92 citations), Behavioral Neuroscience (30 citations), Cellular and Molecular Neuroscience (122 citations) and Clinical Biochemistry (42 citations). Lan N. Tu has collaborated with scholars based in United States, Vietnam and China. Frequent co-authors include Vimal Selvaraj, Douglas M. Stocco, Kanako Morohaku, Susanne H. Pelton, W.R. Butler, Pulak R. Manna, Viju Vijayan Pillai, Mahmoud Hussein, Oliver Fiehn and Tomáš Čajka. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Scientific Reports, Agronomy and Analytica Chimica Acta.
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.