Jason C. Hsu

5.5k total citations · 1 hit paper
113 papers, 3.9k citations indexed

About

Jason C. Hsu is a scholar working on Statistics and Probability, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Jason C. Hsu has authored 113 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Statistics and Probability, 38 papers in Management Science and Operations Research and 12 papers in Molecular Biology. Recurrent topics in Jason C. Hsu's work include Statistical Methods in Clinical Trials (43 papers), Optimal Experimental Design Methods (33 papers) and Advanced Causal Inference Techniques (10 papers). Jason C. Hsu is often cited by papers focused on Statistical Methods in Clinical Trials (43 papers), Optimal Experimental Design Methods (33 papers) and Advanced Causal Inference Techniques (10 papers). Jason C. Hsu collaborates with scholars based in United States, Switzerland and United Kingdom. Jason C. Hsu's co-authors include Ronald Christensen, Roger L. Berger, Barry L. Nelson, Stephen J. Ruberg, Anthony J. Hayter, Frank Bretz, Martha A. Belury, Shanti S. Gupta, Haiyan Xu and L. Michelle and has published in prestigious journals such as Journal of Biological Chemistry, Journal of the American Statistical Association and The EMBO Journal.

In The Last Decade

Jason C. Hsu

106 papers receiving 3.6k citations

Hit Papers

Multiple Comparisons: Theory and Methods 1997 2026 2006 2016 1997 250 500 750

Peers

Jason C. Hsu
Comparison fields: 5 of 203
  • Statistics and Probability 1.4k
  • Management Science and Operations Research 1.0k
  • Molecular Biology 538
  • Statistics, Probability and Uncertainty 339
  • Plant Science 297
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Citations per field, relative to Jason C. Hsu
Jason C. Hsu · 1×
Citations per year, relative to Jason C. Hsu
Jason C. Hsu · 1×

Countries citing papers authored by Jason C. Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Jason C. Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason C. Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Jason C. Hsu. A scholar is included among the top collaborators of Jason C. 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 Jason C. Hsu. Jason C. Hsu 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
# Work Indexed citations
1 78
2 4
3 125
4 10
5 56
6 20
7 24
8 37
9 0
10 7
11 31
12 50
13 19
14 9
15 8
16 4
17 12
18 60
19 15
20 5

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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