Li Hsu

9.3k citations
120 papers · 2.1k · h-index 26

Impact in

    • Statistical Methods and Inference
    • Statistical Methods and Bayesian Inference
  • Genetics top 2%
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic Associations and Epidemiology 48
    • Genetic Mapping and Diversity in Plants and Animals 15
    • Genetic and phenotypic traits in livestock 14
    • Statistical Methods and Inference 28
    • Advanced Causal Inference Techniques 14

Li Hsu

113 papers receiving 2.0k citations

Peers

Li Hsu
Comparison fields: 5 of 131
  • Statistics and Probability 448
  • Genetics 796
  • Cancer Research 291
  • Sensory Systems 93
  • Pathology and Forensic Medicine 225
Replace M Mezzetti with:
M Mezzetti Italy
Edwin S. Iversen United States
Kevin B. Jacobs United States
Pei Fen Kuan United States
Bjarni V. Halldórsson Iceland
Randall Pruim United States
Matthew A. Held United States
Buhm Han South Korea
Arief Gusnanto United Kingdom
Eimear E. Kenny United States
Li Hsu relative to M Mezzetti Italy M Mezzetti's profile →
Citations per field
00.5×7.8×
M Mezzetti · 1×
Citations per year

Countries citing papers authored by Li Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Li Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Li Hsu Line = papers co-authored together Li Hsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004173
2 2001111
3 2009110
4 201393
5 201862
6 200062
7 200059
8 201757
9 200951
10 199851
11 200946
12 200846
13 200945
14 201044
15 200240
16 200635
17 201134
18 201333
19 200632
20 200032

About Li Hsu

Li Hsu is a scholar working on Genetics, Statistics and Probability, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 120 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (48 papers), Statistical Methods and Inference (28 papers), Genetic factors in colorectal cancer (17 papers), Gene expression and cancer classification (17 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Genetic and phenotypic traits in livestock (14 papers), Advanced Causal Inference Techniques (14 papers) and Colorectal Cancer Screening and Detection (11 papers). The work is most often cited by research in Statistics and Probability (448 citations), Genetics (796 citations), Cancer Research (291 citations), Sensory Systems (93 citations) and Pathology and Forensic Medicine (225 citations). Li Hsu has collaborated with scholars based in United States, Israel and South Africa. Frequent co-authors include Malka Gorfine, Barbara J. Trask, Lue Ping Zhao, Janet M. Young, Hillary F. Massa, Kathleen E. Malone, Yingye Zheng, Jianping Sun, Charles Kooperberg and David M. Zucker. Their work appears in journals such as Genetic Epidemiology, Biometrics, Cancer Research, Biostatistics and Cancer Epidemiology Biomarkers & Prevention.

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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