Rowena Chin

464 total citations
10 papers, 255 citations indexed

About

Rowena Chin is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Agronomy and Crop Science. According to data from OpenAlex, Rowena Chin has authored 10 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Agronomy and Crop Science. Recurrent topics in Rowena Chin's work include Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Bioenergy crop production and management (2 papers). Rowena Chin is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Bioenergy crop production and management (2 papers). Rowena Chin collaborates with scholars based in Singapore, United States and Australia. Rowena Chin's co-authors include Avram J. Holmes, Kevin Anderson, Monica D. Rosenberg, Tian Ge, Meghan A. Collins, Kang Sim, Kaavya Narasimhalu, Nagaendran Kandiah, Amanda Ng and Steve W. C. Chang and has published in prestigious journals such as Nature Communications, NeuroImage and Psychological Review.

In The Last Decade

Rowena Chin

10 papers receiving 252 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rowena Chin Singapore 7 128 105 42 28 26 10 255
Alejandro Ballesteros Spain 10 100 0.8× 174 1.7× 28 0.7× 33 1.2× 21 0.8× 26 283
Christian Núñez Spain 12 86 0.7× 151 1.4× 42 1.0× 24 0.9× 20 0.8× 30 355
Chengcheng Pu China 9 118 0.9× 135 1.3× 71 1.7× 42 1.5× 16 0.6× 32 311
Dorothée Schoemaker Canada 7 171 1.3× 90 0.9× 46 1.1× 25 0.9× 21 0.8× 11 245
Lisa Nobis United Kingdom 7 133 1.0× 119 1.1× 43 1.0× 31 1.1× 28 1.1× 8 296
Anya Savransky United States 10 83 0.6× 95 0.9× 85 2.0× 35 1.3× 17 0.7× 19 326
Heather Bruce United States 10 89 0.7× 54 0.5× 57 1.4× 38 1.4× 17 0.7× 34 254
Alejandra Mondragón‐Maya Mexico 7 121 0.9× 82 0.8× 19 0.5× 27 1.0× 16 0.6× 21 293
Maryam Ghahremani Canada 11 160 1.3× 174 1.7× 41 1.0× 24 0.9× 28 1.1× 25 357
Shefali Chaudhary United States 12 148 1.2× 65 0.6× 32 0.8× 75 2.7× 32 1.2× 36 318

Countries citing papers authored by Rowena Chin

Since Specialization
Citations

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

Fields of papers citing papers by Rowena Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rowena Chin. 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 Rowena Chin. The network helps show where Rowena Chin may publish in the future.

Co-authorship network of co-authors of Rowena Chin

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

All Works

10 of 10 papers shown
1.
Chin, Rowena, Steve W. C. Chang, & Avram J. Holmes. (2022). Beyond cortex: The evolution of the human brain.. Psychological Review. 130(2). 285–307. 24 indexed citations
2.
Dhamala, Elvisha, Leon Qi Rong Ooi, Ru Kong, et al.. (2022). Proportional intracranial volume correction differentially biases behavioral predictions across neuroanatomical features, sexes, and development. NeuroImage. 260. 119485–119485. 21 indexed citations
3.
Anderson, Kevin, Meghan A. Collins, Rowena Chin, et al.. (2020). Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk. Nature Communications. 11(1). 2889–2889. 63 indexed citations
4.
5.
Lim, Jeanette, Rowena Chin, New Fei Ho, et al.. (2017). Elucidation of shared and specific white matter findings underlying psychopathology clusters in schizophrenia. Asian Journal of Psychiatry. 30. 144–151. 4 indexed citations
6.
Kuswanto, Carissa Nadia, Rowena Chin, Min Yi Sum, et al.. (2015). Shared and divergent neurocognitive impairments in adult patients with schizophrenia and bipolar disorder: Whither the evidence?. Neuroscience & Biobehavioral Reviews. 61. 66–89. 37 indexed citations
7.
Mak, Elijah, et al.. (2015). Clinical associations of anosognosia in mild cognitive impairment and Alzheimer's disease. International Journal of Geriatric Psychiatry. 30(12). 1207–1214. 39 indexed citations
8.
Chin, Rowena, Amanda Ng, Kaavya Narasimhalu, & Nagaendran Kandiah. (2013). Utility of the AD8 as a Self-Rating Tool for Cognitive Impairment in an Asian Population. American Journal of Alzheimer s Disease & Other Dementias®. 28(3). 284–288. 35 indexed citations
9.
Chin, Rowena, et al.. (2008). The promotion measures of seed germination from autopolyploid of Robinia pseudoacacia. Beijing Linye Daxue xuebao. 1 indexed citations
10.
Chin, Rowena. (2006). Construction of expression vector and transformation of FpDREB2A gene into Robinia pseudoacacia 'Idaho' mediated with Agrobacterium tumefaciens. Forestry Studies in China. 1 indexed citations

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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2026