Tu Lu
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
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- RNA Research and Splicing
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Nuclear Structure and Function
- Photosynthetic Processes and Mechanisms
Papers in ⓘ
-
- RNA modifications and cancer 2
- RNA Research and Splicing 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 1
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
- Co-authors
- Géraldine Seydoux (4 shared papers)Jarrett Smith (2 shared papers)Deepika Calidas (2 shared papers)Helen Schmidt (2 shared papers)Chih-Yung S. Lee (2 shared papers)Dominique Rasoloson (1 shared paper)Alexandre Paix (1 shared paper)Yuemeng Wang (1 shared paper)
- Journals
- eLife (3 papers)Molecular Biology of the Cell (1 paper)Lab on a Chip (1 paper)Photodiagnosis and Photodynamic Therapy (1 paper)Genetics (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Tu Lu
7 papers receiving 561 citations
Peers
Comparison fields: 5 of 56
- Aging 211
- Molecular Biology 502
- Business and International Management 13
- Cell Biology 79
- Endocrine and Autonomic Systems 19
Countries citing papers authored by Tu Lu
This map shows the geographic impact of Tu Lu'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 Tu Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tu Lu more than expected).
Fields of papers citing papers by Tu Lu
This network shows the impact of papers produced by Tu Lu. 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 Tu Lu. The network helps show where Tu Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tu Lu, 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 | 2014 | 217 | |
| 2 | 2016 | 171 | |
| 3 | 2020 | 85 | |
| 4 | 2011 | 42 | |
| 5 | 2017 | 37 | |
| 6 | 2011 | 19 | |
| 7 | 2023 | 1 |
About Tu Lu
Tu Lu is a scholar working on Molecular Biology, Aging, Cell Biology, Ophthalmology and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 572 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), CRISPR and Genetic Engineering (2 papers), Cellular transport and secretion (2 papers), Lysosomal Storage Disorders Research (1 paper), RNA and protein synthesis mechanisms (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Aging (211 citations), Molecular Biology (502 citations), Business and International Management (13 citations), Cell Biology (79 citations) and Endocrine and Autonomic Systems (19 citations). Tu Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Géraldine Seydoux, Jarrett Smith, Deepika Calidas, Helen Schmidt, Chih-Yung S. Lee, Dominique Rasoloson, Alexandre Paix, Yuemeng Wang, Harold E. Smith and Michael Krause. Their work appears in journals such as eLife, Molecular Biology of the Cell, Lab on a Chip, Photodiagnosis and Photodynamic Therapy and Genetics.
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.