Hang Lu
Impact in
- Aging top 0.05%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrine and Autonomic Systems top 0.5%
- Circadian rhythm and melatonin
Papers in
- Aging 71
- Genetics, Aging, and Longevity in Model Organisms 71
- Co-authors
- Cornelia I. Bargmann (2 shared papers)Matthew M. Crane (14 shared papers)Yun Zhang (1 shared paper)Kwanghun Chung (8 shared papers)Jeffrey N. Stirman (11 shared papers)Catherine A. Rivet (8 shared papers)Klavs F. Jensen (1 shared paper)Martin A. Schmidt (1 shared paper)
- Journals
- Lab on a Chip (28 papers)eLife (8 papers)Analytical Chemistry (7 papers)Integrative Biology (6 papers)PLoS ONE (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Hang Lu
172 papers receiving 6.4k citations
Hang Lu's Hit Papers
Peers
Comparison fields: 5 of 179
- Aging 2.3k
- Endocrine and Autonomic Systems 947
- Cellular and Molecular Neuroscience 1.2k
- Biophysics 341
- Biomedical Engineering 2.3k
Countries citing papers authored by Hang Lu
This map shows the geographic impact of Hang 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 Hang Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Lu more than expected).
Fields of papers citing papers by Hang Lu
This network shows the impact of papers produced by Hang 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 Hang Lu. The network helps show where Hang Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang 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
Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Pathogenic bacteria induce aversive olfactory learning in Caenorhabditis elegans Hit paper breakdown → | 2005 | 607 |
| 2 | 2004 | 446 | |
| 3 | 2008 | 290 | |
| 4 | 2010 | 263 | |
| 5 | 2004 | 251 | |
| 6 | 2011 | 168 | |
| 7 | 2011 | 126 | |
| 8 | 2013 | 125 | |
| 9 | 2010 | 124 | |
| 10 | 2019 | 119 | |
| 11 | 2010 | 107 | |
| 12 | 2009 | 100 | |
| 13 | 2016 | 95 | |
| 14 | 2013 | 91 | |
| 15 | 2012 | 87 | |
| 16 | 2016 | 87 | |
| 17 | 2011 | 83 | |
| 18 | 2010 | 83 | |
| 19 | 2013 | 83 | |
| 20 | 2013 | 78 |
About Hang Lu
Hang Lu is a scholar working on Aging, Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience and Physiology, having authored 179 papers that have together received 6.4k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (71 papers), 3D Printing in Biomedical Research (44 papers), Photoreceptor and optogenetics research (24 papers), Microfluidic and Bio-sensing Technologies (21 papers), Circadian rhythm and melatonin (19 papers), Spaceflight effects on biology (17 papers), Cell Image Analysis Techniques (14 papers) and Microfluidic and Capillary Electrophoresis Applications (14 papers). The work is most often cited by research in Aging (2.3k citations), Endocrine and Autonomic Systems (947 citations), Cellular and Molecular Neuroscience (1.2k citations), Biophysics (341 citations) and Biomedical Engineering (2.3k citations). Hang Lu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Cornelia I. Bargmann, Matthew M. Crane, Yun Zhang, Kwanghun Chung, Jeffrey N. Stirman, Catherine A. Rivet, Klavs F. Jensen, Martin A. Schmidt, Stanislav Y. Shvartsman and Mei Zhan. Their work appears in journals such as Lab on a Chip, eLife, Analytical Chemistry, Integrative Biology and PLoS ONE.
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.