Connie Chan‐Kang

13 papers and 801 indexed citations i.

About

Connie Chan‐Kang is a scholar working on Economics and Econometrics, General Agricultural and Biological Sciences and Political Science and International Relations. According to data from OpenAlex, Connie Chan‐Kang has authored 13 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 4 papers in General Agricultural and Biological Sciences and 3 papers in Political Science and International Relations. Recurrent topics in Connie Chan‐Kang’s work include Agriculture, Land Use, Rural Development (3 papers), Agricultural Innovations and Practices (3 papers) and Income, Poverty, and Inequality (2 papers). Connie Chan‐Kang is often cited by papers focused on Agriculture, Land Use, Rural Development (3 papers), Agricultural Innovations and Practices (3 papers) and Income, Poverty, and Inequality (2 papers). Connie Chan‐Kang collaborates with scholars based in United States, China and India. Connie Chan‐Kang's co-authors include Shenggen Fan, Philip G. Pardey, Shenggen Fan, Julian M. Alston, Michele C. Marra, T. J. Wyatt, Jason M. Beddow, Steven P. Dehmer, K. Krishnaiah and Joe Kerkvliet and has published in prestigious journals such as Nature, Agronomy Journal and American Journal of Agricultural Economics.

In The Last Decade

Co-authorship network of co-authors of Connie Chan‐Kang i

Fields of papers citing papers by Connie Chan‐Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie Chan‐Kang. 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 Connie Chan‐Kang. The network helps show where Connie Chan‐Kang may publish in the future.

Countries citing papers authored by Connie Chan‐Kang

Since Specialization
Citations

This map shows the geographic impact of Connie Chan‐Kang'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 Connie Chan‐Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connie Chan‐Kang more than expected).

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.

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2025