Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Corporate research and development expenditures and share value
1990502 citationsSu Han Chan, John D. Martin et al.Journal of Financial Economicsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Su Han 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 Su Han Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Su Han Chan more than expected).
This network shows the impact of papers produced by Su Han 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 Su Han Chan. The network helps show where Su Han Chan may publish in the future.
Co-authorship network of co-authors of Su Han Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Su Han Chan.
A scholar is included among the top collaborators of Su Han Chan based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Su Han Chan. Su Han Chan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Chan, Su Han, et al.. (2016). The Pricing of Construction Loans. RePEc: Research Papers in Economics. 19(4). 411–434.2 indexed citations
2.
Chan, Su Han, et al.. (2016). International Real Estate Review. International Real Estate Review. 19(4). 411–434.1 indexed citations
3.
Chan, Su Han, et al.. (2015). Calendar Anomalies: Do REITs Behave Like Stocks?. RePEc: Research Papers in Economics. 18(2). 177–215.1 indexed citations
4.
Chan, Su Han, et al.. (2015). International Real Estate Review. International Real Estate Review. 18(2). 177–215.1 indexed citations
Chan, Su Han, et al.. (2011). A Rational Explanation for Boom-and-Bust Price Patterns in Real Estate Markets. RePEc: Research Papers in Economics. 14(3). 257–282.1 indexed citations
7.
Chan, Su Han, Ko Wang, & Jing Yang. (2011). International Real Estate Review. International Real Estate Review. 14(3). 257–282.2 indexed citations
Chan, Su Han, Ko Wang, & Jing Yang. (2003). Pricing Factors in Real Estate Markets: A Simple Preference Based Approach. RePEc: Research Papers in Economics. 6(1). 102–120.
Chan, Su Han, George W. Gau, & Ko Wang. (2000). Stock Market Reaction to Capital Investment Decisions: Evidence from Business Relocations. SSRN Electronic Journal.1 indexed citations
13.
Wang, Ko, Yuqing Zhou, Su Han Chan, & Kwong Wing Chau. (2000). International Real Estate Review. International Real Estate Review. 3(1). 93–108.20 indexed citations
Chan, Su Han, et al.. (1998). Intra-Project Externality and Layout Variables in Residential Condominium Appraisals. SSRN Electronic Journal.2 indexed citations
16.
Chan, Su Han, et al.. (1998). Institutional Investment in REITs: Evidence and Implications. SSRN Electronic Journal.24 indexed citations
17.
Chan, Su Han, John W. Kensinger, Arthur J. Keown, & John D. Martin. (1997). Do strategic alliances create value?. Journal of Financial Economics. 46(2). 199–221.395 indexed citations
Chan, Su Han, John D. Martin, & John W. Kensinger. (1990). Corporate research and development expenditures and share value. Journal of Financial Economics. 26(2). 255–276.502 indexed citations breakdown →
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.