Tu Lu

892 citations
7 papers · 592 · h-index 6

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • 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

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Cellular transport and secretion 2

Tu Lu

7 papers receiving 580 citations

Peers

Tu Lu
Comparison fields: 5 of 56
  • Aging 212
  • Molecular Biology 513
  • Business and International Management 14
  • Cell Biology 81
  • Endocrine and Autonomic Systems 19
Replace Chih-Yung Sean Lee with:
Chih-Yung Sean Lee United States
Deepika Calidas United States
Yihong Yang China
Alexey V. Pindyurin Russia
Julia Tischler United Kingdom
Sandro Baldi Germany
Mara Schvarzstein United States
Caroline L. Dahlberg United States
Ofer Rog United States
Henry Bigelow United States
Tu Lu relative to Chih-Yung Sean Lee United States Chih-Yung Sean Lee's profile →
Citations per field
00.5×2×3×
Chih-Yung Sean Lee · 1×
Citations per year

Countries citing papers authored by Tu Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tu Lu Line = papers co-authored together Tu Lu links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2014221
2 2016178
3 202091
4 201142
5 201737
6 201121
7 20232

About Tu Lu

Tu Lu is a scholar working on Aging, Cell Biology, Molecular Biology, Ophthalmology and Physiology, having authored 7 papers that have together received 592 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), CRISPR and Genetic Engineering (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Cellular transport and secretion (2 papers), Fungal and yeast genetics research (1 paper), Pluripotent Stem Cells Research (1 paper) and Plant Reproductive Biology (1 paper). The work is most often cited by research in Aging (212 citations), Molecular Biology (513 citations), Business and International Management (14 citations), Cell Biology (81 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, Helen Schmidt, Deepika Calidas, Jarrett Smith, Chih-Yung Sean Lee, Dominique Rasoloson, Harold E. Smith, Michael Krause, Yuemeng Wang and Alexandre Paix. Their work appears in journals such as eLife, Genetics, Photodiagnosis and Photodynamic Therapy, Lab on a Chip and Molecular Biology of the Cell.

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.

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