Jenny Lu
Impact in
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- Neurobiology and Insect Physiology Research
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth
Papers in
-
- Neurobiology and Insect Physiology Research 2
- Oncology 3
- Cancer Cells and Metastasis 2
- Co-authors
- Rachel I. Wilson (3 shared papers)Yvette E. Fisher (1 shared paper)Isabel D’Alessandro (1 shared paper)Afshin Saffari (1 shared paper)Heinz Jungbluth (1 shared paper)Darius Ebrahimi‐Fakhari (1 shared paper)Mustafa Şahin (1 shared paper)Susan Byrne (1 shared paper)
- Journals
- Nature (3 papers)Journal of Computer Assisted Tomography (1 paper)JAMA Network Open (1 paper)Cancer Research (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Jenny Lu
12 papers receiving 496 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 212
- Modeling and Simulation 33
- Cell Biology 77
- Genetics 116
- Endocrine and Autonomic Systems 25
Countries citing papers authored by Jenny Lu
This map shows the geographic impact of Jenny 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 Jenny Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenny Lu more than expected).
Fields of papers citing papers by Jenny Lu
This network shows the impact of papers produced by Jenny 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 Jenny Lu. The network helps show where Jenny Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jenny 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 | 2015 | 133 | |
| 2 | 2019 | 110 | |
| 3 | 2021 | 87 | |
| 4 | 2009 | 52 | |
| 5 | 2012 | 34 | |
| 6 | 2024 | 31 | |
| 7 | 2016 | 28 | |
| 8 | 2008 | 25 | |
| 9 | 2009 | 3 | |
| 10 | 2025 | 1 | |
| 11 | 2025 | 1 | |
| 12 | Still Life | 2017 | 1 |
About Jenny Lu
Jenny Lu is a scholar working on Cellular and Molecular Neuroscience, Oncology, Cell Biology, Cognitive Neuroscience and Modeling and Simulation, having authored 12 papers that have together received 506 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (2 papers), Neurobiology and Insect Physiology Research (2 papers), Autophagy in Disease and Therapy (1 paper), Cancer Genomics and Diagnostics (1 paper), Pancreatic function and diabetes (1 paper), Genomics and Phylogenetic Studies (1 paper), Diabetes and associated disorders (1 paper) and Robotics and Automated Systems (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (212 citations), Modeling and Simulation (33 citations), Cell Biology (77 citations), Genetics (116 citations) and Endocrine and Autonomic Systems (25 citations). Jenny Lu has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rachel I. Wilson, Yvette E. Fisher, Isabel D’Alessandro, Afshin Saffari, Heinz Jungbluth, Darius Ebrahimi‐Fakhari, Mustafa Şahin, Susan Byrne, Georg Friedrich Hoffmann and Lara Wahlster. Their work appears in journals such as Nature, Journal of Computer Assisted Tomography, JAMA Network Open, Cancer Research and Nucleic Acids Research.
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.