Connie Chan‐Kang

48 total papers · 1.6k total citations
21 papers, 809 citations indexed

About

Connie Chan‐Kang is a scholar working on Economics and Econometrics, General Agricultural and Biological Sciences and Plant Science. According to data from OpenAlex, Connie Chan‐Kang has authored 21 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 6 papers in General Agricultural and Biological Sciences and 4 papers in Plant Science. Recurrent topics in Connie Chan‐Kang's work include Agricultural Innovations and Practices (4 papers), Income, Poverty, and Inequality (3 papers) and Economic Growth and Productivity (3 papers). Connie Chan‐Kang is often cited by papers focused on Agricultural Innovations and Practices (4 papers), Income, Poverty, and Inequality (3 papers) and Economic Growth and Productivity (3 papers). Connie Chan‐Kang collaborates with scholars based in United States, China and India. Connie Chan‐Kang's co-authors include Shenggen Fan, Shenggen Fan, Philip G. Pardey, Steven P. Dehmer, Jason M. Beddow, Julian M. Alston, K. Krishnaiah, Alison B. Joglekar, Kevin A.T. Silverstein and James C. Wilgenbusch and has published in prestigious journals such as Nature, Agronomy Journal and American Journal of Agricultural Economics.

In The Last Decade

Connie Chan‐Kang

20 papers receiving 704 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Connie Chan‐Kang 338 259 136 113 83 21 809
Michael S. Delgado 477 1.4× 178 0.7× 82 0.6× 69 0.6× 114 1.4× 55 1.0k
Antonio Yúnez–Naude 269 0.8× 283 1.1× 121 0.9× 173 1.5× 248 3.0× 40 846
Hui Mao 536 1.6× 194 0.7× 112 0.8× 74 0.7× 62 0.7× 23 947
Kevin T. McNamara 405 1.2× 232 0.9× 101 0.7× 102 0.9× 77 0.9× 58 892
Seneshaw Tamru 195 0.6× 201 0.8× 108 0.8× 120 1.1× 105 1.3× 30 999
Hamish R. Gow 334 1.0× 377 1.5× 153 1.1× 83 0.7× 72 0.9× 42 1.0k
Yangfen Chen 153 0.5× 306 1.2× 106 0.8× 62 0.5× 102 1.2× 39 826
Kevin Z. Chen 326 1.0× 142 0.5× 87 0.6× 99 0.9× 89 1.1× 42 776
Deming Luo 367 1.1× 185 0.7× 175 1.3× 136 1.2× 53 0.6× 25 944
Funing Zhong 194 0.6× 171 0.7× 147 1.1× 192 1.7× 68 0.8× 48 713

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Connie Chan‐Kang. A scholar is included among the top collaborators of Connie Chan‐Kang 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 Connie Chan‐Kang. Connie Chan‐Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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