Haojiang Luan
Impact in
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- Neurobiology and Insect Physiology Research
- Aging top 5%
Papers in
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- Neurobiology and Insect Physiology Research 15
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- CRISPR and Genetic Engineering 5
- Co-authors
- Benjamin H. White (14 shared papers)Nathan C. Peabody (4 shared papers)Charles Vinson (1 shared paper)Fengqiu Diao (5 shared papers)Christopher J. Potter (2 shared papers)William C. Shropshire (2 shared papers)John Ewer (3 shared papers)Ward F. Odenwald (5 shared papers)
- Journals
- Journal of Neuroscience (3 papers)Cell Reports (2 papers)Neuron (2 papers)Development (2 papers)iScience (1 paper)
- Partner nations
- United StatesChileChina
In The Last Decade
Haojiang Luan
18 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 67
- Cellular and Molecular Neuroscience 1.0k
- Aging 84
- Endocrine and Autonomic Systems 117
- Ecology, Evolution, Behavior and Systematics 267
- Genetics 358
Countries citing papers authored by Haojiang Luan
This map shows the geographic impact of Haojiang Luan'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 Haojiang Luan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haojiang Luan more than expected).
Fields of papers citing papers by Haojiang Luan
This network shows the impact of papers produced by Haojiang Luan. 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 Haojiang Luan. The network helps show where Haojiang Luan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haojiang Luan, 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 | 2006 | 323 | |
| 2 | 2015 | 216 | |
| 3 | 2008 | 214 | |
| 4 | 2006 | 149 | |
| 5 | 2008 | 90 | |
| 6 | 2018 | 58 | |
| 7 | 2020 | 42 | |
| 8 | 2014 | 42 | |
| 9 | 2013 | 33 | |
| 10 | 2017 | 30 | |
| 11 | 2007 | 30 | |
| 12 | 2012 | 19 | |
| 13 | 2016 | 19 | |
| 14 | 2020 | 17 | |
| 15 | 2023 | 12 | |
| 16 | 2020 | 5 | |
| 17 | 2025 | 2 | |
| 18 | 2013 | 1 | |
| 19 | 2025 | 0 |
About Haojiang Luan
Haojiang Luan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Genetics and Immunology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (15 papers), Animal Behavior and Reproduction (7 papers), Insect and Arachnid Ecology and Behavior (5 papers), CRISPR and Genetic Engineering (5 papers), Plant Molecular Biology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Cell Image Analysis Techniques (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Aging (84 citations), Endocrine and Autonomic Systems (117 citations), Ecology, Evolution, Behavior and Systematics (267 citations) and Genetics (358 citations). Haojiang Luan has collaborated with scholars based in United States, Chile and China. Frequent co-authors include Benjamin H. White, Nathan C. Peabody, Charles Vinson, Fengqiu Diao, Christopher J. Potter, William C. Shropshire, John Ewer, Ward F. Odenwald, Elizabeth E. Marr and Holly Ironfield. Their work appears in journals such as Journal of Neuroscience, Cell Reports, Neuron, Development and iScience.
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.