Howard Chan
Impact in
- Finance top 2%
- Financial Markets and Investment Strategies
- Credit Risk and Financial Regulations
- Accounting top 5%
- Corporate Finance and Governance
- Auditing, Earnings Management, Governance
Papers in
- Finance 18
- Financial Markets and Investment Strategies 16
- Credit Risk and Financial Regulations 5
- Accounting 16
- Corporate Finance and Governance 11
- Auditing, Earnings Management, Governance 5
- Co-authors
- Robert W. Faff (16 shared papers)Philip Gharghori (4 shared papers)Roger J. Daly (8 shared papers)Paul Docherty (6 shared papers)Elizabeth V. Nguyen (4 shared papers)Xiuquan Ma (4 shared papers)Rachel S. Lee (3 shared papers)Karel Novy (2 shared papers)
- Journals
- Australian Journal of Management (5 papers)Pacific-Basin Finance Journal (4 papers)Accounting and Finance (4 papers)Nature Communications (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Howard Chan
31 papers receiving 728 citations
Peers
Comparison fields: 5 of 90
- Finance 310
- Accounting 254
- General Economics, Econometrics and Finance 66
- Economics and Econometrics 204
- Cell Biology 89
Countries citing papers authored by Howard Chan
This map shows the geographic impact of Howard Chan'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 Howard Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Howard Chan more than expected).
Fields of papers citing papers by Howard Chan
This network shows the impact of papers produced by Howard Chan. 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 Howard Chan. The network helps show where Howard Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Howard Chan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 81 | |
| 2 | 2007 | 69 | |
| 3 | 2013 | 68 | |
| 4 | 1998 | 59 | |
| 5 | 2020 | 58 | |
| 6 | 2006 | 45 | |
| 7 | 2017 | 33 | |
| 8 | 2018 | 29 | |
| 9 | 2003 | 29 | |
| 10 | 2019 | 27 | |
| 11 | 2004 | 26 | |
| 12 | 2016 | 26 | |
| 13 | 2010 | 26 | |
| 14 | 2006 | 25 | |
| 15 | 2009 | 25 | |
| 16 | 1998 | 23 | |
| 17 | 2011 | 13 | |
| 18 | 2011 | 13 | |
| 19 | 2010 | 13 | |
| 20 | 2010 | 12 |
About Howard Chan
Howard Chan is a scholar working on Finance, Accounting, Molecular Biology, Economics and Econometrics and Strategy and Management, having authored 31 papers that have together received 761 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (16 papers), Corporate Finance and Governance (11 papers), Financial Reporting and Valuation Research (6 papers), Credit Risk and Financial Regulations (5 papers), Auditing, Earnings Management, Governance (5 papers), Monetary Policy and Economic Impact (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Market Dynamics and Volatility (4 papers). The work is most often cited by research in Finance (310 citations), Accounting (254 citations), General Economics, Econometrics and Finance (66 citations), Economics and Econometrics (204 citations) and Cell Biology (89 citations). Howard Chan has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Robert W. Faff, Philip Gharghori, Roger J. Daly, Paul Docherty, Elizabeth V. Nguyen, Xiuquan Ma, Rachel S. Lee, Karel Novy, Xin Chang and Kaylene J. Simpson. Their work appears in journals such as Australian Journal of Management, Pacific-Basin Finance Journal, Accounting and Finance, Nature Communications and Molecular & Cellular Proteomics.
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.