Cecilia Hsu

15 total papers · 1.2k total citations
15 papers, 996 citations indexed

About

Cecilia Hsu is a scholar working on Molecular Biology, Plant Science and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Cecilia Hsu has authored 15 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Plant Science and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Cecilia Hsu's work include Research in Cotton Cultivation (6 papers), RNA and protein synthesis mechanisms (4 papers) and Plant tissue culture and regeneration (4 papers). Cecilia Hsu is often cited by papers focused on Research in Cotton Cultivation (6 papers), RNA and protein synthesis mechanisms (4 papers) and Plant tissue culture and regeneration (4 papers). Cecilia Hsu collaborates with scholars based in United States. Cecilia Hsu's co-authors include Andrew Stevens, Audrey Stevens, Frank W. Larimer, James McD. Stewart, Kenneth R. Isham, J. M. Stewart, James S. Dinning, Coy D. Fitch, Beth C. Mullin and J G Joshi and has published in prestigious journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and Journal of Bacteriology.

In The Last Decade

Cecilia Hsu

15 papers receiving 952 citations

Author Peers

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

Author Last Decade Papers Cites
Cecilia Hsu 882 221 69 39 28 15 996
Alex B. Lopez 717 0.8× 219 1.0× 82 1.2× 18 0.5× 25 0.9× 11 918
Christopher Marshallsay 782 0.9× 193 0.9× 37 0.5× 19 0.5× 13 0.5× 16 840
Mercedes Tamame 714 0.8× 170 0.8× 55 0.8× 16 0.4× 22 0.8× 23 883
W C Merrick 946 1.1× 77 0.3× 75 1.1× 113 2.9× 15 0.5× 17 1.0k
Zheng Li 707 0.8× 504 2.3× 83 1.2× 16 0.4× 27 1.0× 19 1.1k
R E Rhoads 617 0.7× 158 0.7× 59 0.9× 183 4.7× 60 2.1× 15 850
Robert J. Anderberg 454 0.5× 739 3.3× 52 0.8× 18 0.5× 42 1.5× 15 1.1k
Bei‐Chang Yang 636 0.7× 138 0.6× 116 1.7× 6 0.2× 39 1.4× 12 895
Toinette Hartshorne 606 0.7× 89 0.4× 155 2.2× 58 1.5× 13 0.5× 21 853
Sharon Karniely 619 0.7× 52 0.2× 67 1.0× 37 0.9× 17 0.6× 21 794

Countries citing papers authored by Cecilia Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Cecilia Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cecilia Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Cecilia Hsu. A scholar is included among the top collaborators of Cecilia Hsu 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 Cecilia Hsu. Cecilia Hsu 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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