Tongxia Li
Impact in
- Accounting top 5%
- Corporate Finance and Governance
- Working Capital and Financial Performance
- Auditing, Earnings Management, Governance
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
- Accounting 18
- Corporate Finance and Governance 15
- Auditing, Earnings Management, Governance 8
- Working Capital and Financial Performance 7
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- Neuroscience and Neuropharmacology Research 5
- Neurotransmitter Receptor Influence on Behavior 5
- Co-authors
- Qaiser Munir (5 shared papers)Bo Tian (15 shared papers)Pei Zhang (15 shared papers)Jie Ming (8 shared papers)Hongwei Cai (7 shared papers)Guangjian Qi (6 shared papers)May Hu (2 shared papers)Feng He (4 shared papers)
In The Last Decade
Tongxia Li
34 papers receiving 356 citations
Peers
Comparison fields: 5 of 81
- Accounting 150
- Behavioral Neuroscience 32
- Biological Psychiatry 20
- Finance 42
- Cellular and Molecular Neuroscience 61
Countries citing papers authored by Tongxia Li
This map shows the geographic impact of Tongxia Li'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 Tongxia Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongxia Li more than expected).
Fields of papers citing papers by Tongxia Li
This network shows the impact of papers produced by Tongxia Li. 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 Tongxia Li. The network helps show where Tongxia Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Tongxia Li, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 93 | |
| 2 | 2016 | 44 | |
| 3 | 2017 | 35 | |
| 4 | 2017 | 22 | |
| 5 | 2024 | 14 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2021 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2021 | 8 | |
| 12 | 2022 | 8 | |
| 13 | 2017 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2023 | 7 | |
| 16 | 2016 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2023 | 4 |
About Tongxia Li
Tongxia Li is a scholar working on Accounting, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Economics and Econometrics and Strategy and Management, having authored 41 papers that have together received 367 indexed citations. Recurring topics across this work include Corporate Finance and Governance (15 papers), Auditing, Earnings Management, Governance (8 papers), Working Capital and Financial Performance (7 papers), Memory and Neural Mechanisms (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Financial Reporting and Valuation Research (4 papers) and Tryptophan and brain disorders (4 papers). The work is most often cited by research in Accounting (150 citations), Behavioral Neuroscience (32 citations), Biological Psychiatry (20 citations), Finance (42 citations) and Cellular and Molecular Neuroscience (61 citations). Tongxia Li has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Qaiser Munir, Bo Tian, Pei Zhang, Jie Ming, Hongwei Cai, Guangjian Qi, May Hu, Feng He, Ming Li and Lijun Zhang. Their work appears in journals such as Accounting and Finance, International Review of Economics & Finance, Molecular Neurobiology, Finance research letters and Neuropsychopharmacology.
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.