Haijun Tu
Impact in
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
Papers in
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- Neuroscience and Neuropharmacology Research 10
- Neurobiology and Insect Physiology Research 5
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- Invertebrate Immune Response Mechanisms 9
- 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)Eric Trinquet (2 shared papers)
- Journals
- ACS Chemical Neuroscience (3 papers)Frontiers in Immunology (3 papers)The EMBO Journal (2 papers)Molecular & Cellular Proteomics (2 papers)Analytical Chemistry (2 papers)
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Haijun Tu
33 papers receiving 707 citations
Peers
Comparison fields: 5 of 66
- Cellular and Molecular Neuroscience 228
- Aging 11
- Molecular Biology 309
- Neurology 30
- Immunology 49
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 92 | |
| 2 | 2010 | 76 | |
| 3 | 2008 | 70 | |
| 4 | 2015 | 67 | |
| 5 | 2018 | 62 | |
| 6 | 2007 | 61 | |
| 7 | 2014 | 50 | |
| 8 | 2021 | 35 | |
| 9 | 2015 | 26 | |
| 10 | 2023 | 24 | |
| 11 | 2012 | 19 | |
| 12 | 2024 | 17 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2019 | 12 | |
| 17 | 2022 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 7 | |
| 20 | 2021 | 6 |
About Haijun Tu
Haijun Tu is a scholar working on Cellular and Molecular Neuroscience, Immunology, Aging, Neurology and Molecular Biology, having authored 34 papers that have together received 722 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Invertebrate Immune Response Mechanisms (9 papers), Receptor Mechanisms and Signaling (6 papers), Neurobiology and Insect Physiology Research (5 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Neurological Disorders and Treatments (3 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (228 citations), Aging (11 citations), Molecular Biology (309 citations), Neurology (30 citations) and Immunology (49 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, Eric Trinquet, Carine Monnier and Tingting Ji. Their work appears in journals such as ACS Chemical Neuroscience, Frontiers in Immunology, The EMBO Journal, Molecular & Cellular Proteomics and Analytical Chemistry.
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.