Huann‐Sheng Chen

2.4k citations
51 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Global Cancer Incidence and Screening (15 papers)Genetic Associations and Epidemiology (13 papers)Colorectal Cancer Screening and Detection (12 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Huann‐Sheng Chen

49 papers receiving 1.4k citations

Hit Papers

Twenty years since Joinpoint 1.0: Two major enhancements,...20222026202320242022255075100

Peers

Huann‐Sheng Chen
Comparison fields: 5 of 147
  • Molecular Biology 469
  • Genetics 303
  • Oncology 259
  • Endocrinology, Diabetes and Metabolism 147
  • Epidemiology 146
Replace Stephen W. Erickson with:
Stephen W. Erickson United States
Yifan Huang United States
Megan S. Rice United States
C. C. Brown United States
Julie A. Lynch United States
Vincent K. Lam United States
Kee‐Seng Chia Singapore
R. A. Elton United Kingdom
Laure El ghormli United States
Kate Walker United Kingdom
Huann‐Sheng Chen relative to Stephen W. Erickson United States Stephen W. Erickson's profile →
Citations per field
00.5×2.7×
Stephen W. Erickson · 1×
Citations per year

Countries citing papers authored by Huann‐Sheng Chen

Since Specialization
Citations

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

Fields of papers citing papers by Huann‐Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huann‐Sheng Chen. 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 Huann‐Sheng Chen. The network helps show where Huann‐Sheng Chen may publish in the future.

Co-authorship network of co-authors of Huann‐Sheng Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Huann‐Sheng Chen. A scholar is included among the top collaborators of Huann‐Sheng Chen 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 Huann‐Sheng Chen. Huann‐Sheng Chen 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
#WorkIndexed citations
1 12
2 0
3 4
4 29
5 4
6 1
7 22
8 53
9 47
10 12
11 12
12 21
13 11
14 2
15 18
16 2
17 217
18
Haplotype Inference for Multiple Tightly Linked Marker Phenotypes Including Nuclear Family Information.
2
19 56
20 60

About Huann‐Sheng Chen

Huann‐Sheng Chen is a scholar working on Statistics and Probability, Oncology and Genetics, having authored 51 papers that have together received 1.4k indexed citations. Recurring topics across this work include Global Cancer Incidence and Screening (15 papers), Genetic Associations and Epidemiology (13 papers) and Colorectal Cancer Screening and Detection (12 papers). The work is most often cited by research in Genetics (303 citations), Oncology (259 citations) and Endocrinology, Diabetes and Metabolism (147 citations). Huann‐Sheng Chen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Eric J. Feuer, Shuanglin Zhang, Hyune‐Ju Kim, Chung‐Jui Tsai, Hongying Jiang, Youping Deng, Jun Chen, Tao Lin, Bill Wheeler and Jun Luo. Their work appears in journals such as Bioinformatics, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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