Haijun Tu
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
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- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
Papers in
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- Receptor Mechanisms and Signaling 5
- S100 Proteins and Annexins 4
- CRISPR and Genetic Engineering 3
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Philippe Rondard (6 shared papers)Jean‐Philippe Pin (5 shared papers)Jianfeng Liu (6 shared papers)Chanjuan Xu (5 shared papers)Jean‐Louis Bessereau (3 shared papers)Bérangère Pinan‐Lucarré (3 shared papers)Wenhua Zhang (4 shared papers)Carine Monnier (2 shared papers)
- Journals
- Frontiers in Immunology (3 papers)ACS Chemical Neuroscience (3 papers)Molecular & Cellular Proteomics (2 papers)Analytical Chemistry (2 papers)The EMBO Journal (2 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Haijun Tu
36 papers receiving 774 citations
Peers
Comparison fields: 5 of 82
- Aging 113
- Cellular and Molecular Neuroscience 289
- Biological Psychiatry 31
- Endocrine and Autonomic Systems 60
- Developmental Neuroscience 25
Countries citing papers authored by Haijun Tu
This map shows the geographic impact of Haijun Tu'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 Haijun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Tu more than expected).
Fields of papers citing papers by Haijun Tu
This network shows the impact of papers produced by Haijun Tu. 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 Haijun Tu. The network helps show where Haijun Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Tu, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 92 | |
| 2 | 2010 | 81 | |
| 3 | 2010 | 74 | |
| 4 | 2008 | 69 | |
| 5 | 2015 | 66 | |
| 6 | 2018 | 62 | |
| 7 | 2007 | 58 | |
| 8 | 2014 | 53 | |
| 9 | 2021 | 33 | |
| 10 | 2015 | 24 | |
| 11 | 2023 | 20 | |
| 12 | 2012 | 18 | |
| 13 | 2020 | 14 | |
| 14 | 2021 | 14 | |
| 15 | 2019 | 12 | |
| 16 | 2019 | 12 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2020 | 10 | |
| 20 | 2021 | 7 |
About Haijun Tu
Haijun Tu is a scholar working on Molecular Biology, Aging, Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Neurology, having authored 36 papers that have together received 783 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (13 papers), Circadian rhythm and melatonin (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (5 papers), S100 Proteins and Annexins (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), CRISPR and Genetic Engineering (3 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Aging (113 citations), Cellular and Molecular Neuroscience (289 citations), Biological Psychiatry (31 citations), Endocrine and Autonomic Systems (60 citations) and Developmental Neuroscience (25 citations). Haijun Tu has collaborated with scholars based in China, France and United States. Frequent co-authors include Philippe Rondard, Jean‐Philippe Pin, Jianfeng Liu, Chanjuan Xu, Jean‐Louis Bessereau, Bérangère Pinan‐Lucarré, Wenhua Zhang, Carine Monnier, Eric Trinquet and Maëlle Jospin. Their work appears in journals such as Frontiers in Immunology, ACS Chemical Neuroscience, Molecular & Cellular Proteomics, Analytical Chemistry and The EMBO Journal.
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.