Amy Kwan
Impact in
Papers in
- Finance 10
- Financial Markets and Investment Strategies 10
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- Corporate Finance and Governance 7
- Auditing, Earnings Management, Governance 3
- Co-authors
- Thomas H. McInish (3 shared papers)Ronald W. Masulis (1 shared paper)Munitta Muthana (4 shared papers)Rajat Mittal (1 shared paper)Justine Naylor (1 shared paper)Ian A. Harris (1 shared paper)Sam Adie (1 shared paper)Frank M. Hatheway (1 shared paper)
- Journals
- Viruses (3 papers)Journal of Community Health (2 papers)Journal of Financial Markets (2 papers)Pacific-Basin Finance Journal (2 papers)Financial Review (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Amy Kwan
36 papers receiving 1.2k citations
Amy Kwan's Hit Papers
Peers
Comparison fields: 5 of 135
- Oncology 397
- Finance 129
- Infectious Diseases 215
- Accounting 71
- Economics and Econometrics 118
Countries citing papers authored by Amy Kwan
This map shows the geographic impact of Amy Kwan'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 Amy Kwan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Kwan more than expected).
Fields of papers citing papers by Amy Kwan
This network shows the impact of papers produced by Amy Kwan. 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 Amy Kwan. The network helps show where Amy Kwan may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Kwan, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study Hit paper breakdown → | 2020 | 443 |
| 2 | 2012 | 82 | |
| 3 | 2014 | 71 | |
| 4 | 2014 | 59 | |
| 5 | 2013 | 57 | |
| 6 | 2006 | 54 | |
| 7 | 2007 | 53 | |
| 8 | 2022 | 47 | |
| 9 | 2022 | 44 | |
| 10 | 2017 | 42 | |
| 11 | 2020 | 33 | |
| 12 | 2013 | 27 | |
| 13 | 2021 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2022 | 20 | |
| 16 | 2012 | 13 | |
| 17 | 2022 | 11 | |
| 18 | 2016 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2019 | 9 |
About Amy Kwan
Amy Kwan is a scholar working on Finance, Accounting, Oncology, Economics and Econometrics and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (10 papers), Corporate Finance and Governance (7 papers), Complex Systems and Time Series Analysis (5 papers), CAR-T cell therapy research (4 papers), Virus-based gene therapy research (4 papers), RNA Interference and Gene Delivery (3 papers), Auditing, Earnings Management, Governance (3 papers) and Systemic Sclerosis and Related Diseases (2 papers). The work is most often cited by research in Oncology (397 citations), Finance (129 citations), Infectious Diseases (215 citations), Accounting (71 citations) and Economics and Econometrics (118 citations). Amy Kwan has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Thomas H. McInish, Ronald W. Masulis, Munitta Muthana, Rajat Mittal, Justine Naylor, Ian A. Harris, Sam Adie, Frank M. Hatheway, Hui Zheng and Ian Kudel. Their work appears in journals such as Viruses, Journal of Community Health, Journal of Financial Markets, Pacific-Basin Finance Journal and Financial Review.
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.