Longlong Tu
Impact in
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Regulation of Appetite and Obesity 7
- Circadian rhythm and melatonin 3
-
- Single-cell and spatial transcriptomics 2
- Molecular Biology Techniques and Applications 2
- Co-authors
- John A. Rudd (11 shared papers)Zengbing Lu (10 shared papers)Julia Y.H. Liu (6 shared papers)Ana Bagüés (1 shared paper)Raquel Abalo (1 shared paper)Kulmira Nurgali (1 shared paper)Agata Borkowska (1 shared paper)Halina Waś (1 shared paper)
- Journals
- Frontiers in Physiology (3 papers)Frontiers in Pharmacology (3 papers)Journal of Visualized Experiments (2 papers)Neuropharmacology (1 paper)The Anatomical Record (1 paper)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Longlong Tu
19 papers receiving 377 citations
Longlong Tu's Hit Papers
Peers
Comparison fields: 5 of 89
- Endocrine and Autonomic Systems 58
- Sensory Systems 16
- Neurology 25
- Biological Psychiatry 6
- Physiology 60
Countries citing papers authored by Longlong Tu
This map shows the geographic impact of Longlong 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 Longlong Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Longlong Tu more than expected).
Fields of papers citing papers by Longlong Tu
This network shows the impact of papers produced by Longlong 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 Longlong Tu. The network helps show where Longlong Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Longlong 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
| # | Work | ||
|---|---|---|---|
| 1 | Mechanisms of Chemotherapy-Induced Neurotoxicity Hit paper breakdown → | 2022 | 149 |
| 2 | 2022 | 32 | |
| 3 | 2022 | 29 | |
| 4 | 2017 | 26 | |
| 5 | 2017 | 22 | |
| 6 | 2013 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2019 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2021 | 7 | |
| 14 | 2020 | 7 | |
| 15 | 2024 | 6 | |
| 16 | 2018 | 6 | |
| 17 | 2021 | 5 | |
| 18 | 2021 | 4 | |
| 19 | 2025 | 1 | |
| 20 | 2024 | 0 |
About Longlong Tu
Longlong Tu is a scholar working on Endocrine and Autonomic Systems, Molecular Biology, Cognitive Neuroscience, Surgery and Sensory Systems, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (7 papers), Acupuncture Treatment Research Studies (3 papers), Sleep and Wakefulness Research (3 papers), Circadian rhythm and melatonin (3 papers), Nausea and vomiting management (2 papers), Single-cell and spatial transcriptomics (2 papers), Eating Disorders and Behaviors (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (58 citations), Sensory Systems (16 citations), Neurology (25 citations), Biological Psychiatry (6 citations) and Physiology (60 citations). Longlong Tu has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include John A. Rudd, Zengbing Lu, Julia Y.H. Liu, Ana Bagüés, Raquel Abalo, Kulmira Nurgali, Agata Borkowska, Halina Waś, Yong Xu and Man P. Ngan. Their work appears in journals such as Frontiers in Physiology, Frontiers in Pharmacology, Journal of Visualized Experiments, Neuropharmacology and The Anatomical Record.
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.